David J. Bernard

2.1k citations
33 papers · 1.8k indexed · h-index 18

Impact in

    • Cellular transport and secretion
  • Immunology top 5%
    • Aquaculture disease management and microbiota
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

David J. Bernard

32 papers receiving 1.7k citations

Peers

David J. Bernard
Comparison fields: 5 of 97
  • Cell Biology 357
  • Immunology 448
  • Genetics 168
  • Molecular Biology 938
  • Physiology 61
Replace J Huarte with:
J Huarte Switzerland
Ayumi Kitano United States
Boaz P. Levi United States
Jovencio Borneo United States
Bernd Kinzel Switzerland
Melissa C. Colbert United States
Sylvie Deborde United States
Daniel Bilbao United States
Ting Xi Liu China
Martin Gering United Kingdom
David J. Bernard relative to J Huarte Switzerland J Huarte's profile →
Citations per field
00.5×4.9×
J Huarte · 1×
Citations per year

Countries citing papers authored by David J. Bernard

Since Specialization
Citations

This map shows the geographic impact of David J. 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 David J. Bernard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Bernard more than expected).

Fields of papers citing papers by David J. Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. 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 David J. Bernard. The network helps show where David J. Bernard may publish in the future.

Co-authors

The 25 scholars most cited alongside David J. 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 David J. Bernard Line = papers co-authored together David J. Bernard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20244
3 202210
4 20175
5 201267
6 201011
7 201085
8 200988
9 200673
10 200444
11 200256
12 20016
13 200138
14
Influence of iridovirus on lymphocyte activity: in vitro comparative study in fish.
20001
15 1999368
16 1999170
17 1998140
18 199631
19 19944
20 199314

About David J. Bernard

David J. Bernard is a scholar working on Clinical Biochemistry, Rheumatology, Animal Science and Zoology, Developmental Neuroscience and Reproductive Medicine, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (6 papers), Folate and B Vitamins Research (6 papers), Mitochondrial Function and Pathology (3 papers), Lysosomal Storage Disorders Research (3 papers), Animal Virus Infections Studies (3 papers), Immune Cell Function and Interaction (3 papers), Epilepsy research and treatment (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cell Biology (357 citations), Immunology (448 citations), Genetics (168 citations), Molecular Biology (938 citations) and Physiology (61 citations). David J. Bernard has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Robert L. Nussbaum, Ichiro Okabe, Lei Bi, Anthony Wynshaw‐Boris, Pierre Boudinot, Abdenour Benmansour, Robert L. Nussbaum, Marie‐Paule Lefranc, Robert L. Nussbaum and Pasi A. Jänne. Their work appears in journals such as Mammalian Genome, Human Molecular Genetics, The Journal of Immunology, Neurological Research and Neurobiology of Disease.

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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