Jacky Bernard

5.1k citations
66 papers · 3.0k indexed · 1 hit paper · h-index 23

Jacky Bernard

64 papers receiving 2.9k citations

Hit Papers

Long-Term Cultures of HTLV-III—Infected T Cells: a Model ...4481986202619992012100200300400

Peers

Jacky Bernard
Comparison fields: 5 of 123
  • Virology 1.1k
  • Immunology 1.6k
  • Infectious Diseases 504
  • Immunology and Allergy 132
  • Cancer Research 266
Replace Gerald Nakamura with:
Gerald Nakamura United States
Pierre Perrin France
Elaine K. Thomas United States
Takao Masuda Japan
Richard S. Kornbluth United States
Patricia Fitzgerald‐Bocarsly United States
Jean Claude Gluckman France
Suraiya Rasheed United States
Daniel Zagury France
Philip R. Krause United States
Jacky Bernard relative to Gerald Nakamura United States Gerald Nakamura's profile →
Citations per field
00.5×3.8×
Gerald Nakamura · 1×
Citations per year

Countries citing papers authored by Jacky Bernard

Since Specialization
Citations

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

Fields of papers citing papers by Jacky Bernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2004418
2 2004224
3 20048
4 20015
5 200043
6 200024
7 199919
8 19999
9 199833
10 199724
11 199723
12 19924
13 19928
14 19923
15 199010
16 19907
17 198922
18 1988140
19
Biology of isolate immunocytes. III. Fine immunocytological characterization of lymphoplasma cells.
19754
20
Biology of isolated immunocytes. II. Simultaneous detection of cell surface Ig and theta-antigen by immunoperoxidase staining at the ultrastructural level.
19751

About Jacky Bernard

Jacky Bernard is a scholar working on Virology, Immunology and Immunology and Allergy, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (23 papers), T-cell and B-cell Immunology (21 papers), Immune Cell Function and Interaction (16 papers), HIV Research and Treatment (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), RNA Interference and Gene Delivery (8 papers), Immune Response and Inflammation (6 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Virology (1.1k citations), Immunology (1.6k citations) and Infectious Diseases (504 citations). Jacky Bernard has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Daniel Zagury, M. Feldman, Rosella Gallo, R. Leonard, Rémi Cheynier, P. S. Sarin, Pierre Jeannesson, Eric Angevin, Bernard Escudier and Noël E.C. Schartz. Their work appears in journals such as Biomedicine & Pharmacotherapy, Proceedings of the National Academy of Sciences, The Journal of Immunology, European Journal of Immunology and Scandinavian 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.

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