Judith Lacoste

3.0k citations
33 papers · 2.4k indexed · 1 hit paper · h-index 18

Judith Lacoste

31 papers receiving 2.4k citations

Hit Papers

Characterization of a functional NF-kappa B site in the h...5211993202620042015100200300400500

Peers

Judith Lacoste
Comparison fields: 5 of 113
  • Immunology 1.3k
  • Cancer Research 594
  • Virology 168
  • Immunology and Allergy 130
  • Biophysics 121
Replace Brian C. Schaefer with:
Brian C. Schaefer United States
Gina L. Costa United States
Giju Thomas United States
Shoichiro Miyatake Japan
Philippe V. Afonso France
Pierre Génin France
Michael P. Weekes United Kingdom
Yair Benita United States
François Jean Canada
Dirk Lindemann Germany
Judith Lacoste relative to Brian C. Schaefer United States Brian C. Schaefer's profile →
Citations per field
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Brian C. Schaefer · 1×
Citations per year

Countries citing papers authored by Judith Lacoste

Since Specialization
Citations

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

Fields of papers citing papers by Judith Lacoste

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20210
2 20210
3 20159
4 20145
5 201210
6 20093
7 200713
8 200618
9 200522
10 200246
11 199993
12 19984
13
[Human anthrax and complex epizootic (cattle, swine, mink and dog)].
19981
14 199540
15 199431
16 199413
17
Overproduction of NFKB2 (lyt-10) and c-Rel: a mechanism for HTLV-I Tax-mediated trans-activation via the NF-kappa B signalling pathway.
199458
18
Characterization of a functional NF-kappa B site in the human interleukin 1 beta promoter: evidence for a positive autoregulatory loop.breakdown →
1993521
19 199125
20 199015

About Judith Lacoste

Judith Lacoste is a scholar working on Immunology, Immunology and Allergy and Virology, having authored 33 papers that have together received 2.4k indexed citations. Recurring topics across this work include interferon and immune responses (10 papers), T-cell and Retrovirus Studies (7 papers), NF-κB Signaling Pathways (7 papers), Animal Disease Management and Epidemiology (6 papers), Immune Response and Inflammation (5 papers), Cell Adhesion Molecules Research (4 papers), HIV Research and Treatment (3 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (594 citations) and Virology (168 citations). Judith Lacoste has collaborated with scholars based in Canada, United States and France. Frequent co-authors include John Hiscott, N Pépin, Bryan Williams, Ashutosh Kumar, Anne Roulston, Mario D’Addario, James J. Marois, G. Bensi, Claire M. Brown and Jody L. Swift. Their work appears in journals such as Journal of Virology, Virology, Molecular and Cellular Biology, Molecular and Cellular Endocrinology and Methods in enzymology on CD-ROM/Methods in enzymology.

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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