D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Genetics D-index 116 Citations 57,951 405 World Ranking 246 National Ranking 132

Overview

What are the main themes of his work throughout his whole career to date

His work in Software engineering tackles topics such as Spike (software development) which are related to areas like Management. His Management study frequently links to adjacent areas such as Spike (software development). His research combines Disease and Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). His Disease study frequently draws parallels with other fields, such as Severe acute respiratory syndrome coronavirus. Severe acute respiratory syndrome coronavirus is closely attributed to Coronavirus disease 2019 (COVID-19) in his work. His research is interdisciplinary, bridging the disciplines of Pandemic and Coronavirus disease 2019 (COVID-19). He combines topics linked to Pathology with his work on Pandemic. As part of his studies on Pathology, he often connects relevant subjects like Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). His Spike Protein research extends to Infectious disease (medical specialty), which is thematically connected.

Nevan J. Krogan most often published in these fields:

  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (100.00%)
  • Pathology (100.00%)
  • Infectious disease (medical specialty) (100.00%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A SARS-CoV-2 protein interaction map reveals targets for drug repurposing.

David E. Gordon;Gwendolyn M. Jang;Mehdi Bouhaddou;Jiewei Xu.
Nature (2020)

3550 Citations

Global landscape of protein complexes in the yeast Saccharomyces cerevisiae

Nevan J. Krogan;Gerard Cagney;Gerard Cagney;Haiyuan Yu;Gouqing Zhong.
Nature (2006)

3337 Citations

Global Mapping of the Yeast Genetic Interaction Network

Amy Hin Yan Tong;Guillaume Lesage;Gary D. Bader;Huiming Ding.
Science (2004)

2447 Citations

A Bayesian networks approach for predicting protein-protein interactions from genomic data.

Ronald Jansen;Haiyuan Yu;Dov Greenbaum;Yuval Kluger.
Science (2003)

1617 Citations

Interaction network containing conserved and essential protein complexes in Escherichia coli

Gareth Butland;José Manuel Peregrín-Alvarez;Joyce Li;Wehong Yang.
Nature (2005)

1347 Citations

Functional dissection of protein complexes involved in yeast chromosome biology using a genetic interaction map

Sean R. Collins;Kyle M. Miller;Nancy L. Maas;Assen Roguev.
Nature (2007)

990 Citations

Exploration of the Function and Organization of the Yeast Early Secretory Pathway through an Epistatic Miniarray Profile

Maya Schuldiner;Sean R. Collins;Natalie J. Thompson;Vladimir Denic.
Cell (2005)

955 Citations

Toward a Comprehensive Atlas of the Physical Interactome of Saccharomyces cerevisiae

Sean R. Collins;Sean R. Collins;Patrick Kemmeren;Patrick Kemmeren;Xue-Chu Zhao;Jack F. Greenblatt.
Molecular & Cellular Proteomics (2007)

933 Citations

Cotranscriptional set2 methylation of histone H3 lysine 36 recruits a repressive Rpd3 complex.

Michael Christopher Keogh;Siavash K. Kurdistani;Stephanie A. Morris;Seong Hoon Ahn.
Cell (2005)

892 Citations

Navigating the Chaperone Network: An Integrative Map of Physical and Genetic Interactions Mediated by the Hsp90 Chaperone

Rongmin Zhao;Mike Davey;Ya-Chieh Hsu;Pia Kaplanek.
Cell (2005)

880 Citations

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