Frédéric Van Gool

3.5k citations
21 papers · 2.8k · 1 hit paper · h-index 17

Impact in

Papers in

    • Sirtuins and Resveratrol in Medicine 8
    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 6
    • IL-33, ST2, and ILC Pathways 3
    • Immunotherapy and Immune Responses 2

Frédéric Van Gool

21 papers receiving 2.8k citations

Frédéric Van Gool's Hit Papers

Targeted Elimination of Senescent Beta Cells Prevents Type 1 Diabetes 2019 · 282 citations
2820+2+4Years since publication50100150200250

Peers

Frédéric Van Gool
Comparison fields: 5 of 97
  • Geriatrics and Gerontology 499
  • Physiology 248
  • Immunology 1.0k
  • Biological Psychiatry 80
  • Aging 53
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Vanessa Byles United States
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Wei Tang China
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Takafumi Oka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Van Gool

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Van Gool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frédéric Van Gool. 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 Frédéric Van Gool. The network helps show where Frédéric Van Gool may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015371
2
Targeted Elimination of Senescent Beta Cells Prevents Type 1 Diabetes
Hit paper breakdown →
2019282
3 2018268
4 2009243
5 2003239
6 2008217
7 2017217
8 2020190
9 2008152
10 2009126
11 2014104
12 2021100
13 201185
14 201981
15 201044
16 201537
17 201924
18 200617
19 202015
20 201913

About Frédéric Van Gool

Frédéric Van Gool is a scholar working on Geriatrics and Gerontology, Immunology, Physiology, Oncology and Genetics, having authored 21 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Sirtuins and Resveratrol in Medicine (8 papers), PARP inhibition in cancer therapy (7 papers), Calcium signaling and nucleotide metabolism (6 papers), T-cell and B-cell Immunology (6 papers), Diabetes and associated disorders (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Geriatrics and Gerontology (499 citations), Physiology (248 citations), Immunology (1.0k citations), Biological Psychiatry (80 citations) and Aging (53 citations). Frédéric Van Gool has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Oberdan Léo, Fabienne Andris, Anthony Rongvaux, Mara Gallí, Jeffrey A. Bluestone, Richard M. Locksley, Ari B. Molofsky, Hong-Erh Liang, Thibaut De Smedt and Ajit N. Shah. Their work appears in journals such as Biochemical Pharmacology, Immunity, Nature, Frontiers in Immunology and PLoS ONE.

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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