GR Bernard

7 papers receiving 895 citations

GR Bernard's Hit Papers

Development of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine 2008 · 694 citations
6940+6+12Years since publication200400600

Peers

GR Bernard
Comparison fields: 5 of 101
  • Internal Medicine 27
  • Health Information Management 28
  • Genetics 165
  • Critical Care and Intensive Care Medicine 26
  • Hematology 62
Replace Jonathan D. Mosley with:
Jonathan D. Mosley United States
Ana K. Stanković United States
Margaret Haugh France
Yunhe Zhao China
Andrew Cagan United States
C G Wathen United Kingdom
Antoine Neuraz France
Edward P. Scott United States
Debra L. Weiner United States
Hong Yu China
GR Bernard relative to Jonathan D. Mosley United States Jonathan D. Mosley's profile →
Citations per field
00.5×3.7×
Jonathan D. Mosley · 1×
Citations per year

Countries citing papers authored by GR Bernard

Since Specialization
Citations

This map shows the geographic impact of GR Bernard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by GR Bernard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GR Bernard more than expected).

Fields of papers citing papers by GR Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by GR Bernard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by GR Bernard. The network helps show where GR Bernard may publish in the future.

Co-authors

The 14 scholars most cited alongside GR Bernard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with GR Bernard Line = papers co-authored together GR Bernard links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Development of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine
Hit paper breakdown →
2008694
2 2001174
3
Efficacy and safety of recombinant human protein C for severe sepsis
200122
4 199922
5
Baseline characteristics of patients enrolled in the phase III trial of rhAPC in severe sepsis
20002
6 20091
7 20091

About GR Bernard

GR Bernard is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Surgery, Molecular Biology and Critical Care and Intensive Care Medicine, having authored 7 papers that have together received 916 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper), Ethics in Clinical Research (1 paper), Lipoproteins and Cardiovascular Health (1 paper) and Neonatal and Maternal Infections (1 paper). The work is most often cited by research in Internal Medicine (27 citations), Health Information Management (28 citations), Genetics (165 citations), Critical Care and Intensive Care Medicine (26 citations) and Hematology (62 citations). GR Bernard has collaborated with scholars based in United States, China and Gibraltar. Frequent co-authors include DM Roden, Ellen Wright Clayton, Gary Garber, E. Wesley Ely, Jean‐Louis Vincent, Jeffrey D. Helterbrand, Pierre‐François Laterre, Rinaldo Bellomo, Henrik Rieß and E Knobel. Their work appears in journals such as Critical Care Medicine, Clinical Pharmacology & Therapeutics and New England Journal of Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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