Isabelle Nel

893 citations
12 papers · 618 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
    • Lymphoma Diagnosis and Treatment

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 6
    • IL-33, ST2, and ILC Pathways 2
    • Diabetes and associated disorders 4

Isabelle Nel

10 papers receiving 614 citations

Peers

Isabelle Nel
Comparison fields: 5 of 72
  • Immunology 376
  • Pathology and Forensic Medicine 103
  • Oncology 111
  • Virology 18
  • Cancer Research 55
Replace Mitsuo Okubo with:
Mitsuo Okubo Japan
Tomomitsu Doi Japan
Satoshi Jodo Japan
Sébastien Lemoine France
Federico Serana Italy
Fawnda Pellett Canada
Oscar De La Calle-Martin Spain
Tetsushi Aita Japan
Duojia Cao Sweden
Ashraf Imam Israel
Isabelle Nel relative to Mitsuo Okubo Japan Mitsuo Okubo's profile →
Citations per field
00.5×9.8×
Mitsuo Okubo · 1×
Citations per year

Countries citing papers authored by Isabelle Nel

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Nel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2019190
2 2017184
3 201898
4 202192
5 202120
6 201318
7 201611
8 20233
9 20241
10 20171
11 20250
12 20190

About Isabelle Nel

Isabelle Nel is a scholar working on Immunology, Genetics, Infectious Diseases, Molecular Biology and Pathology and Forensic Medicine, having authored 12 papers that have together received 618 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), Diabetes and associated disorders (4 papers), IL-33, ST2, and ILC Pathways (2 papers), HIV Research and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Immunology (376 citations), Pathology and Forensic Medicine (103 citations), Oncology (111 citations), Virology (18 citations) and Cancer Research (55 citations). Isabelle Nel has collaborated with scholars based in France, Australia and Italy. Frequent co-authors include Agnès Lehuen, Amine Toubal, Sophie Lotersztajn, Léo Bertrand, Lucie Beaudoin, Marc Diedisheim, Raphaël Scharfmann, Michel Polak, James McCluskey and Céline Tard. Their work appears in journals such as Nature reviews. Immunology, AIDS, Medicine, Transplant International and Diabetologia.

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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