M. Pabion

885 citations
18 papers · 724 · h-index 9

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 4
    • Ubiquitin and proteasome pathways 2
    • Microtubule and mitosis dynamics 3

M. Pabion

17 papers receiving 701 citations

Peers

M. Pabion
Comparison fields: 5 of 84
  • Geriatrics and Gerontology 29
  • Cell Biology 138
  • Molecular Biology 537
  • Oncology 135
  • Aging 7
Replace Jörg Bergemann with:
Jörg Bergemann Germany
Beáta Grallert Norway
Linghao Kong China
Bertrand Fabre France
Chin‐Chun Hung Taiwan
Ladislaus Török Austria
Maike A. Laussmann Ireland
C Marobbio Italy
Junko Takeda Japan
Çağrı Bodur Türkiye
M. Pabion relative to Jörg Bergemann Germany Jörg Bergemann's profile →
Citations per field
00.5×1.5×2.1×
Jörg Bergemann · 1×
Citations per year

Countries citing papers authored by M. Pabion

Since Specialization
Citations

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

Fields of papers citing papers by M. Pabion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside M. Pabion, 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 M. Pabion Line = papers co-authored together M. Pabion links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2007315
2 2007176
3 198572
4 199544
5 198426
6 199620
7 200315
8 198613
9 199913
10 19985
11 19975
12 20035
13 19905
14 20043
15 19973
16 20052
17
Informations on the active site of palmito polyphenol oxidase.
19951
18
Boyault C, Sadoul K, Pabion M, Khochbin S.. HDAC6, at the crossroads between cytoskeleton and cell signaling by acetylation and ubiquitination. Oncogene 26: 5468-5476
20071

About M. Pabion

M. Pabion is a scholar working on Molecular Biology, Cell Biology, Plant Science, Oncology and Immunology, having authored 18 papers that have together received 724 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (4 papers), Postharvest Quality and Shelf Life Management (3 papers), Microtubule and mitosis dynamics (3 papers), Ubiquitin and proteasome pathways (2 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Geriatrics and Gerontology (29 citations), Cell Biology (138 citations), Molecular Biology (537 citations), Oncology (135 citations) and Aging (7 citations). M. Pabion has collaborated with scholars based in France, Réunion and Senegal. Frequent co-authors include Saadi Khochbin, Cyril Boyault, Karin Sadoul, Robert L. Margolis, Didier Job, Frédéric Cadet, Florence Richard‐Forget, Maya Césari, H Caillens and Claude Rouch. Their work appears in journals such as Immunogenetics, Journal of Agricultural and Food Chemistry, Biochemistry, The International Journal of Biochemistry & Cell Biology and Cytometry.

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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