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Institution

Cornell University

EducationIthaca, New York, United States
About: Cornell University is a education organization based out in Ithaca, New York, United States. It is known for research contribution in the topics: Population & Gene. The organization has 102246 authors who have published 235546 publications receiving 12283673 citations. The organization is also known as: Cornell & CUI.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors explore the black box between human resources practices and firm performance and examine the relationships between a set of network-building HR practices and the performance of firms.
Abstract: In this article, we begin to explore the black box between human resources (HR) practices and firm performance. Specifically, we examine the relationships between a set of network-building HR pract...

1,117 citations

Book ChapterDOI
26 Jul 1999
TL;DR: This paper describes two algorithms that operate on the Web graph, addressing problems from Web search and automatic community discovery, and proposes a new family of random graph models that point to a rich new sub-field of the study of random graphs, and raises questions about the analysis of graph algorithms on the Internet.
Abstract: The pages and hyperlinks of the World-Wide Web may be viewed as nodes and edges in a directed graph. This graph is a fascinating object of study: it has several hundred million nodes today, over a billion links, and appears to grow exponentially with time. There are many reasons -- mathematical, sociological, and commercial -- for studying the evolution of this graph. In this paper we begin by describing two algorithms that operate on the Web graph, addressing problems from Web search and automatic community discovery. We then report a number of measurements and properties of this graph that manifested themselves as we ran these algorithms on the Web. Finally, we observe that traditional random graph models do not explain these observations, and we propose a new family of random graph models. These models point to a rich new sub-field of the study of random graphs, and raise questions about the analysis of graph algorithms on the Web.

1,116 citations

Journal ArticleDOI
11 Feb 1999-Nature
TL;DR: In this paper, the authors show that inputs of elements from the atmosphere can sustain the productivity of Hawaiian rainforests on highly weathered soils, where cations are supplied in marine aerosols and phosphorus is deposited in dust from central Asia, which is over 6,000 km away.
Abstract: As soils develop in humid environments, rock-derived elements are gradually lost, and under constant conditions it seems that ecosystems should reach a state of profound and irreversible nutrient depletion. We show here that inputs of elements from the atmosphere can sustain the productivity of Hawaiian rainforests on highly weathered soils. Cations are supplied in marine aerosols and phosphorus is deposited in dust from central Asia, which is over 6,000 km away.

1,116 citations

Journal ArticleDOI
TL;DR: A group of leaders in the field define ‘trained immunity’ as a biological process and discuss the innate stimuli and the epigenetic and metabolic reprogramming events that shape the induction of trained immunity.
Abstract: Immune memory is a defining feature of the acquired immune system, but activation of the innate immune system can also result in enhanced responsiveness to subsequent triggers. This process has been termed 'trained immunity', a de facto innate immune memory. Research in the past decade has pointed to the broad benefits of trained immunity for host defence but has also suggested potentially detrimental outcomes in immune-mediated and chronic inflammatory diseases. Here we define 'trained immunity' as a biological process and discuss the innate stimuli and the epigenetic and metabolic reprogramming events that shape the induction of trained immunity.

1,116 citations


Authors

Showing all 103081 results

NameH-indexPapersCitations
Eric S. Lander301826525976
David Miller2032573204840
Lewis C. Cantley196748169037
Charles A. Dinarello1901058139668
Scott M. Grundy187841231821
Paul G. Richardson1831533155912
Chris Sander178713233287
David R. Williams1782034138789
David L. Kaplan1771944146082
Kari Alitalo174817114231
Richard K. Wilson173463260000
George F. Koob171935112521
Avshalom Caspi170524113583
Derek R. Lovley16858295315
Stephen B. Baylin168548188934
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023309
20221,363
202112,457
202012,139
201910,787
20189,905