Julie C. Ribot

3.4k citations
33 papers · 2.5k indexed · 1 hit paper · h-index 21
Topics
T-cell and B-cell Immunology (25 papers)Immune Cell Function and Interaction (23 papers)Immunotherapy and Immune Responses (14 papers)

In The Last Decade

Julie C. Ribot

31 papers receiving 2.5k citations

Hit Papers

γδ T cells in tissue physiology and surveillance20202026202220242020100200300

Peers

Julie C. Ribot
Comparison fields: 5 of 99
  • Immunology 2.0k
  • Oncology 368
  • Molecular Biology 268
  • Neurology 237
  • Dermatology 162
Replace Cristina M. Costantino with:
Cristina M. Costantino United States
Stephen J. Lalor Ireland
Ian Lewkowich United States
Maisa C. Takenaka Brazil
Katharina Kreymborg Switzerland
Deborah J. Kasprowicz United States
Steven M. Kerfoot Canada
Andrew L. Croxford Switzerland
John S. Tzartos Greece
Michèle Heslan France
Julie C. Ribot relative to Cristina M. Costantino United States Cristina M. Costantino's profile →
Citations per field
00.5×1.5×2.5×
Cristina M. Costantino · 1×
Citations per year

Countries citing papers authored by Julie C. Ribot

Since Specialization
Citations

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

Fields of papers citing papers by Julie C. Ribot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie C. Ribot. 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 Julie C. Ribot. The network helps show where Julie C. Ribot may publish in the future.

Co-authorship network of co-authors of Julie C. Ribot

This figure shows the co-authorship network connecting the top 25 collaborators of Julie C. Ribot. A scholar is included among the top collaborators of Julie C. Ribot 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 Julie C. Ribot. Julie C. Ribot 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 1
2 3
3 0
4 3
5 0
6 12
7 135
8 33
9
γδ T cells in tissue physiology and surveillancebreakdown →
328
10 203
11 38
12 58
13 99
14 15
15 89
16 116
17 53
18 78
19 491
20 25

About Julie C. Ribot

Julie C. Ribot is a scholar working on Immunology, Neurology and Developmental Neuroscience, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (23 papers) and Immunotherapy and Immune Responses (14 papers). The work is most often cited by research in Immunology (2.0k citations), Biological Psychiatry (99 citations) and Neurology (237 citations). Julie C. Ribot has collaborated with scholars based in Portugal, United Kingdom and France. Frequent co-authors include Bruno Silva‐Santos, Noëlla Lopes, Ana deBarros, Pedro H. Papotto, Daniel J. Pennington, Joana F. Neves, Adrian Hayday, Jannie Borst, Victor Peperzak and Scott Roberts. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature reviews. 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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