S
Sunil Kumar
Researcher at Indian Institute of Technology Delhi
Publications - 623
Citations - 8278
Sunil Kumar is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 38, co-authored 312 publications receiving 6526 citations. Previous affiliations of Sunil Kumar include Maharana Pratap University of Agriculture and Technology & Technische Universität Darmstadt.
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Journal ArticleDOI
Short and Long-Term Outcomes with Drug Eluting and Bare Metal Coronary Stents: A Mixed Treatment Comparison Analysis of 117 762 Patient-Years of Follow-up from Randomized Trials
Sripal Bangalore,Sunil Kumar,Mario Fusaro,Nicholas Amoroso,Michael J. Attubato,Frederick Feit,Deepak L. Bhatt,James Slater +7 more
TL;DR: DES are highly efficacious at reducing the risk of target-vessel revascularization without an increase in any safety outcomes, including stent thrombosis and EES was the safest stent.
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Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia
Sunil Kumar,Thomas J. Stohlgren +1 more
TL;DR: A novel method called maximum entropy distribution modeling or Maxent is used for predicting potential suitable habitat for Canacomyrica monticola, a threatened and endangered tree species in New Caledonia, using small number of occurrence records.
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Blood Pressure Targets in Subjects With Type 2 Diabetes Mellitus/Impaired Fasting Glucose Observations From Traditional and Bayesian Random-Effects Meta-Analyses of Randomized Trials
TL;DR: In patients with type 2 diabetes mellitus/impaired fasting glucose/imPAired glucose tolerance, a systolic BP treatment goal of 130 to 135 mm Hg is acceptable, however, with more aggressive goals (<130mm Hg), there was a 40% increase in serious adverse events with no benefit for other outcomes.
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Spatial heterogeneity influences native and nonnative plant species richness.
TL;DR: In this article, the effects of spatial heterogeneity on native and non-native plant species richness distributions in the central part of Rocky Mountain National Park, Colorado, USA were examined using the FRAGSTATS landscape pattern analysis program.
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Modelling invasion for a habitat generalist and a specialist plant species
Paul H. Evangelista,Sunil Kumar,Thomas J. Stohlgren,Catherine S. Jarnevich,Alycia Crall,John B. Norman,David T. Barnett +6 more
TL;DR: Five commonly used modelling methods were tested on two invasive plant species, the habitat generalist Bromus tectorum and habitat specialist Tamarix chinensis, to compare model performances, evaluate predictability, and relate results to distribution traits associated with each species.