Bernard A. P. Lafont

3.1k citations
43 papers · 1.5k indexed · h-index 21
Topics
HIV Research and Treatment (21 papers)Immune Cell Function and Interaction (20 papers)T-cell and B-cell Immunology (18 papers)

In The Last Decade

Bernard A. P. Lafont

43 papers receiving 1.5k citations

Peers

Bernard A. P. Lafont
Comparison fields: 5 of 106
  • Immunology 920
  • Virology 622
  • Epidemiology 388
  • Infectious Diseases 379
  • Molecular Biology 182
Replace Christopher P. Conlon with:
Christopher P. Conlon United Kingdom
Mayte Pérez‐Olmeda Spain
Leigh Anne Eller United States
Ali Danesh United States
Manish Sagar United States
John Frater United Kingdom
Marion F. Gruber United States
Giulia Matusali Italy
Henning Gruell Germany
Wen Shi Lee Australia
Bernard A. P. Lafont relative to Christopher P. Conlon United Kingdom Christopher P. Conlon's profile →
Citations per field
00.5×5.3×
Christopher P. Conlon · 1×
Citations per year

Countries citing papers authored by Bernard A. P. Lafont

Since Specialization
Citations

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

Fields of papers citing papers by Bernard A. P. Lafont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard A. P. Lafont

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard A. P. Lafont. A scholar is included among the top collaborators of Bernard A. P. Lafont based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard A. P. Lafont. Bernard A. P. Lafont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 82
3 37
4 69
5 21
6 36
7 78
8 18
9 108
10 7
11 16
12 35
13 173
14 9
15 15
16 27
17 1
18 8
19 13
20 7

About Bernard A. P. Lafont

Bernard A. P. Lafont is a scholar working on Virology, Immunology and Infectious Diseases, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), Immune Cell Function and Interaction (20 papers) and T-cell and B-cell Immunology (18 papers). The work is most often cited by research in Virology (622 citations), Immunology (920 citations) and Infectious Diseases (379 citations). Bernard A. P. Lafont has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Alicia Buckler‐White, Malcolm A. Martin, Vanessa M. Hirsch, Tatsuhiko Igarashi, Yoshiaki Nishimura, Mark A. Miller, Cécile Viboud, Lone Simonsen, Rebecca F. Grais and Charles E. Buckler. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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