Institution
University of Tsukuba
Education•Tsukuba, Ibaraki, Japan•
About: University of Tsukuba is a education organization based out in Tsukuba, Ibaraki, Japan. It is known for research contribution in the topics: Population & Gene. The organization has 36352 authors who have published 79483 publications receiving 1934752 citations. The organization is also known as: Tsukuba daigaku & Tsukuba University.
Topics: Population, Gene, Catalysis, Superconductivity, Quantum chromodynamics
Papers published on a yearly basis
Papers
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Memorial Sloan Kettering Cancer Center1, French Institute of Health and Medical Research2, Columbia University Medical Center3, Icahn School of Medicine at Mount Sinai4, Brigham and Women's Hospital5, University of Pittsburgh6, Fox Chase Cancer Center7, University of Mississippi Medical Center8, University of Colorado Boulder9, Aberdeen Royal Infirmary10, University of Tsukuba11, University of Texas MD Anderson Cancer Center12
TL;DR: The 2015 World Health Organization (WHO) Classification of Tumors of the Lung, Pleura, Thymus and Heart has just been published with numerous important changes from the 2004 WHO classification.
3,029 citations
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Jeffrey D. Stanaway1, Ashkan Afshin1, Emmanuela Gakidou1, Stephen S Lim1 +1050 more•Institutions (346)
TL;DR: This study estimated levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs) by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017 and explored the relationship between development and risk exposure.
2,910 citations
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TL;DR: In this paper, the results of the PHENIX detector at the Relativistic Heavy Ion Collider (RHIC) were examined with an emphasis on implications for the formation of a new state of dense matter.
2,572 citations
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TL;DR: Three distinct human endothelin-related genes were cloned by screening a genomic DNA library under a low hybridization stringency with a synthetic oligonucleotide probe encoding a portion of the endotheli sequence, suggesting the possible existence of endothelins receptor subtypes.
Abstract: Three distinct human endothelin-related genes were cloned by screening a genomic DNA library under a low hybridization stringency with a synthetic oligonucleotide probe encoding a portion of the endothelin sequence. Genomic Southern blot analysis with the same oligonucleotide probe showed three corresponding chromosomal loci not only in the human genome but also in porcine and rat genomes. The nucleotide sequences of the three human genes were highly conserved within the regions encoding the 21-residue (mature) endothelins, in spite of the fact that the immediately upstream exon sequences, which encode a part of the propeptides, retained little similarity. Moreover, each of the human genes predicted a putative 21-residue peptide, similar to but distinct from each other: (i) the "classical" endothelin (ET-1), (ii) [Trp6,Leu7]endothelin (ET-2), and (iii) [Thr2,Phe4,Thr5,Tyr6, Lys7,Tyr14]endothelin (ET-3). Synthetic ET-1, ET-2, and ET-3 were prepared according to the deduced amino acid sequences, and the biological activities were assayed by contraction of isolated porcine coronary artery strips and by intravenous injection to anesthetized rats. All these synthetic peptides produced strong vasoconstrictor and pressor responses. However, the quantitative profiles of the pharmacological activities were considerably different among the three isopeptides, suggesting the possible existence of endothelin receptor subtypes.
2,548 citations
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TL;DR: In this article, a systematic literature search was conducted for observational cohort studies using MEDLINE (1966 to December 31, 2008) and EMBASE (1980 to December 30, 2008), which reported associations of baseline cardiorespiratory fitness with CHD events, CVD events, or all-cause mortality in healthy participants.
Abstract: Context Epidemiological studies have indicated an inverse association between cardiorespiratory fitness (CRF) and coronary heart disease (CHD) or all-cause mortality in healthy participants. Objective To define quantitative relationships between CRF and CHD events, cardiovascular disease (CVD) events, or all-cause mortality in healthy men and women. Data Sources and Study Selection A systematic literature search was conducted for observational cohort studies using MEDLINE (1966 to December 31, 2008) and EMBASE (1980 to December 31, 2008). The Medical Subject Headings search terms used included exercise tolerance, exercise test, exercise/physiology, physical fitness, oxygen consumption, cardiovascular diseases, myocardial ischemia, mortality, mortalities, death, fatality, fatal, incidence, or morbidity. Studies reporting associations of baseline CRF with CHD events, CVD events, or all-cause mortality in healthy participants were included. Data Extraction Two authors independently extracted relevant data. CRF was estimated as maximal aerobic capacity (MAC) expressed in metabolic equivalent (MET) units. Participants were categorized as low CRF ( Data Synthesis Data were obtained from 33 eligible studies (all-cause mortality, 102 980 participants and 6910 cases; CHD/CVD, 84 323 participants and 4485 cases). Pooled RRs of all-cause mortality and CHD/CVD events per 1-MET higher level of MAC (corresponding to 1-km/h higher running/jogging speed) were 0.87 (95% confidence interval [CI], 0.84-0.90) and 0.85 (95% CI, 0.82-0.88), respectively. Compared with participants with high CRF, those with low CRF had an RR for all-cause mortality of 1.70 (95% CI, 1.51-1.92; P Conclusions Better CRF was associated with lower risk of all-cause mortality and CHD/CVD. Participants with a MAC of 7.9 METs or more had substantially lower rates of all-cause mortality and CHD/CVD events compared with those with a MAC of less 7.9 METs.
2,464 citations
Authors
Showing all 36572 results
Name | H-index | Papers | Citations |
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Aaron R. Folsom | 181 | 1118 | 134044 |
Kazuo Shinozaki | 178 | 668 | 128279 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Masayuki Yamamoto | 171 | 1576 | 123028 |
Hua Zhang | 163 | 1503 | 116769 |
Lewis L. Lanier | 159 | 554 | 86677 |
David Cella | 156 | 1258 | 106402 |
Takashi Taniguchi | 152 | 2141 | 110658 |
Yoshio Bando | 147 | 1234 | 80883 |
Kazuhiko Hara | 141 | 1956 | 107697 |
Janet Rossant | 138 | 416 | 71913 |
Christoph Paus | 137 | 1585 | 100801 |
Kohei Miyazono | 135 | 515 | 68706 |
Craig Blocker | 134 | 1379 | 94195 |
Fumihiko Ukegawa | 133 | 1492 | 94465 |