Pascal Vaudin

1.5k citations
33 papers · 1.3k · h-index 16

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Cellular Mechanics and Interactions

Papers in

    • Mesenchymal stem cell research 9
    • Virus-based gene therapy research 2
    • Hypothalamic control of reproductive hormones 7

Pascal Vaudin

32 papers receiving 1.3k citations

Peers

Pascal Vaudin
Comparison fields: 5 of 81
  • Genetics 204
  • Cell Biology 148
  • Immunology and Allergy 40
  • Developmental Neuroscience 24
  • Molecular Biology 461
Replace Irina Arnaoutova with:
Irina Arnaoutova United States
Soung Hoo Jeon South Korea
Chunsik Lee China
Hideaki Sumiyoshi Japan
Roni Mamluk United States
Jürgen Rohwedel Germany
Vincenzo Mattei Italy
Je‐Yong Choi South Korea
Eric Haÿ France
Andrew L. Laslett Australia
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Citations per field
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Irina Arnaoutova · 1×
Citations per year

Countries citing papers authored by Pascal Vaudin

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Vaudin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009250
2 2008166
3 1999118
4 200590
5 199879
6 200967
7 202167
8 201059
9 201153
10 201047
11 200943
12 201339
13 201132
14 200330
15 200927
16 200619
17 200516
18 201516
19 200413
20 201713

About Pascal Vaudin

Pascal Vaudin is a scholar working on Genetics, Reproductive Medicine, Developmental Neuroscience, Molecular Biology and Biomedical Engineering, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (9 papers), Hypothalamic control of reproductive hormones (7 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Bone Metabolism and Diseases (3 papers), Bone Tissue Engineering Materials (3 papers), Developmental Biology and Gene Regulation (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Genetics (204 citations), Cell Biology (148 citations), Immunology and Allergy (40 citations), Developmental Neuroscience (24 citations) and Molecular Biology (461 citations). Pascal Vaudin has collaborated with scholars based in France, Germany and Israel. Frequent co-authors include Pierre J. Marie, Jean‐Christophe Pagès, Olivia Fromigué, Zahia Hamidouche, Joël Silber, Alain Zider, Pierre Charbord, Samer Srouji, Erella Livne and Jochen Ringe. Their work appears in journals such as Bone, Gene Therapy, Nutrition Research Reviews, European Cells and Materials and Journal of Cellular Biochemistry.

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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