David J. Bernard
Impact in
- Immunology top 5%
- Aquaculture disease management and microbiota
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
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- Mitochondrial Function and Pathology 3
-
- Folate and B Vitamins Research 6
- Co-authors
- Robert L. Nussbaum (5 shared papers)Ichiro Okabe (3 shared papers)Lei Bi (2 shared papers)Anthony Wynshaw‐Boris (2 shared papers)Abdenour Benmansour (4 shared papers)Pierre Boudinot (4 shared papers)Marie‐Paule Lefranc (2 shared papers)Pasi A. Jänne (2 shared papers)
- Journals
- Mammalian Genome (3 papers)Human Molecular Genetics (2 papers)Neurobiology of Disease (2 papers)Neurological Research (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesFranceIreland
In The Last Decade
David J. Bernard
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Immunology 432
- Cell Biology 343
- Genetics 162
- Physiology 324
- Molecular Biology 893
Countries citing papers authored by David J. Bernard
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
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.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 368 | |
| 2 | 2002 | 270 | |
| 3 | 1999 | 171 | |
| 4 | 1998 | 140 | |
| 5 | 2009 | 88 | |
| 6 | 2010 | 86 | |
| 7 | 2006 | 74 | |
| 8 | 2012 | 68 | |
| 9 | 2006 | 66 | |
| 10 | 2002 | 56 | |
| 11 | 2004 | 44 | |
| 12 | 2002 | 44 | |
| 13 | 2002 | 41 | |
| 14 | 2001 | 38 | |
| 15 | 1996 | 31 | |
| 16 | 1986 | 26 | |
| 17 | 1996 | 25 | |
| 18 | 2018 | 21 | |
| 19 | 1993 | 14 | |
| 20 | 1984 | 12 |
About David J. Bernard
David J. Bernard is a scholar working on Molecular Biology, Rheumatology, Clinical Biochemistry, Physiology and Genetics, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (6 papers), Metabolism and Genetic Disorders (6 papers), Lysosomal Storage Disorders Research (3 papers), Animal Virus Infections Studies (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Mitochondrial Function and Pathology (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Immunology (432 citations), Cell Biology (343 citations), Genetics (162 citations), Physiology (324 citations) and Molecular Biology (893 citations). David J. Bernard has collaborated with scholars based in United States, France and Ireland. Frequent co-authors include Robert L. Nussbaum, Ichiro Okabe, Lei Bi, Anthony Wynshaw‐Boris, Abdenour Benmansour, Pierre Boudinot, Robert L. Nussbaum, Marie‐Paule Lefranc, Pasi A. Jänne and Robert L. Nussbaum. Their work appears in journals such as Mammalian Genome, Human Molecular Genetics, Neurobiology of Disease, Neurological Research and The Journal of Immunology.
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.