Pierre Vaigot

2.2k citations
51 papers · 1.7k indexed · h-index 22

Impact in

    • Zebrafish Biomedical Research Applications
    • Skin and Cellular Biology Research
    • melanin and skin pigmentation
  • Hematology top 5%

Papers in

Pierre Vaigot

50 papers receiving 1.6k citations

Peers

Pierre Vaigot
Comparison fields: 5 of 99
  • Cell Biology 517
  • Hematology 200
  • Immunology 361
  • Developmental Neuroscience 67
  • Genetics 158
Replace Ichiko Saotome with:
Ichiko Saotome United States
Wojtek Auerbach United States
Elizabeth Clayton United Kingdom
G. Greenburg United States
Hideo Oshima Japan
Jerry DiSalvo United States
Ann Johnsson Sweden
Hans-Jörg Bühring Germany
Ignacio Moreno de Alborán Spain
G M Lui United States
Pierre Vaigot relative to Ichiko Saotome United States Ichiko Saotome's profile →
Citations per field
00.5×3.4×
Ichiko Saotome · 1×
Citations per year

Countries citing papers authored by Pierre Vaigot

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Vaigot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201925
2 20154
3 20134
4 201115
5 20117
6 201025
7 201014
8 200910
9 200565
10 200514
11 2003118
12 19975
13 199636
14 199311
15 19927
16 199219
17 19902
18
Merocyanine 540 staining of human leukemic cells: relation to stage of disease.
19854
19 198443
20 19843

About Pierre Vaigot

Pierre Vaigot is a scholar working on Immunology and Allergy, Cell Biology, Immunology, Hematology and Developmental Neuroscience, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (11 papers), T-cell and B-cell Immunology (10 papers), Cancer Cells and Metastasis (7 papers), Immunotherapy and Immune Responses (7 papers), Cell Adhesion Molecules Research (7 papers), Platelet Disorders and Treatments (4 papers), melanin and skin pigmentation (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Cell Biology (517 citations), Hematology (200 citations), Immunology (361 citations), Developmental Neuroscience (67 citations) and Genetics (158 citations). Pierre Vaigot has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Nicole M. Le Douarin, M Pruniéras, C. Corbel, Élisabeth Dupin, V. Nataf, Christiane Bréant, Anne Eichmann, M Régnier, Janusz Czernielewski and Carla Real. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Investigative Dermatology, Stem Cells, Blood and The International Journal of Developmental Biology.

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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