Benjamin Gibert

2.2k citations
35 papers · 1.4k · h-index 23

Impact in

Papers in

Benjamin Gibert

33 papers receiving 1.4k citations

Peers

Benjamin Gibert
Comparison fields: 5 of 103
  • Cell Biology 337
  • Aging 27
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 187
  • Cancer Research 112
Replace Yosuke Matsuoka with:
Yosuke Matsuoka Japan
Evangelia Patsavoudi Greece
Howard Doong United States
Khaldon Bodoor Jordan
Kenneth Robzyk Israel
Koji Sagane Japan
Qian Dai China
Saleemulla Mahammad United States
Huidong Yuan China
Rosamaria Ruggieri United States
Benjamin Gibert relative to Yosuke Matsuoka Japan Yosuke Matsuoka's profile →
Citations per field
00.5×2.9×
Yosuke Matsuoka · 1×
Citations per year

Countries citing papers authored by Benjamin Gibert

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Gibert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007253
2 202092
3 201388
4 201477
5 201074
6 201168
7 201261
8 201252
9 201352
10 201350
11 201250
12 201750
13 201538
14 201737
15 201336
16 201335
17 201534
18 202427
19 201826
20 201626

About Benjamin Gibert

Benjamin Gibert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Immunology and Epidemiology, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Heat shock proteins research (11 papers), Axon Guidance and Neuronal Signaling (11 papers), Toxin Mechanisms and Immunotoxins (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), thermodynamics and calorimetric analyses (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cell Biology (337 citations), Aging (27 citations), Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (187 citations) and Cancer Research (112 citations). Benjamin Gibert has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include André‐Patrick Arrigo, Patrick Mehlen, Chantal Diaz‐Latoud, Stéphanie Simon, Carole Kretz‐Remy, Maryline Moulin, Mathieu Nivon, André-Patrick Arrigo, Patrick Vicart and Dominique Guillet. Their work appears in journals such as Nature Communications, EMBO Molecular Medicine, Neuroendocrinology, Cancer Research and eLife.

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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