GR Bernard

7 papers receiving 857 citations

GR Bernard's Hit Papers

Development of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine 2008 · 662 citations
6620+6+12Years since publication200400600

Peers

GR Bernard
Comparison fields: 5 of 105
  • Critical Care and Intensive Care Medicine 56
  • Health Information Management 44
  • Internal Medicine 29
  • Genetics 206
  • Family Practice 14
Replace Laura J. Rasmussen‐Torvik with:
Laura J. Rasmussen‐Torvik United States
Antoine Neuraz France
Karl Matuszewski United States
Fang Peng China
Nidhi Rohatgi United States
Peter Beck United Kingdom
Yunhe Zhao China
Victor Lei United States
Gerry Gray United States
Yangbo Xing China
GR Bernard relative to Laura J. Rasmussen‐Torvik United States Laura J. Rasmussen‐Torvik's profile →
Citations per field
00.5×5.6×
Laura J. Rasmussen‐Torvik · 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 →
2008662
2 2001168
3
Efficacy and safety of recombinant human protein C for severe sepsis
200122
4 199916
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 872 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (2 papers), Lipoproteins and Cardiovascular Health (1 paper), Cancer Genomics and Diagnostics (1 paper), Genomics and Rare Diseases (1 paper), Nosocomial Infections in ICU (1 paper), Ethics in Clinical Research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (56 citations), Health Information Management (44 citations), Internal Medicine (29 citations), Genetics (206 citations) and Family Practice (14 citations). GR Bernard has collaborated with scholars based in Gibraltar, China and United States. Frequent co-authors include DM Roden, Ellen Wright Clayton, Gary Garber, Jeffrey D. Helterbrand, Jean‐Louis Vincent, Pierre‐François Laterre, E. Wesley Ely, Julia Brown, E Knobel and Antonio Artigas. 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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