André Gothot

3.4k citations
99 papers · 2.9k · h-index 28

Impact in

  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research

Papers in

André Gothot

94 papers receiving 2.8k citations

Peers

André Gothot
Comparison fields: 5 of 84
  • Hematology 753
  • Genetics 242
  • Orthopedics and Sports Medicine 154
  • Urology 78
  • Immunology 138
Replace Ivan Bertoncello with:
Ivan Bertoncello Australia
Frédéric Deschaseaux France
Debra D. Pittman United States
Yasuo Miura Japan
Maria Anna Kowalska United States
Antonia Moretta Italy
Borja Sáez United States
Matti O. Korhonen Finland
Jonathan M. Weber United States
Tomer Itkin Israel
André Gothot relative to Ivan Bertoncello Australia Ivan Bertoncello's profile →
Citations per field
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Ivan Bertoncello · 1×
Citations per year

Countries citing papers authored by André Gothot

Since Specialization
Citations

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

Fields of papers citing papers by André Gothot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998255
2 2000212
3 2010177
4 1997169
5 2014134
6 2010110
7 2014101
8 199782
9 200678
10 201270
11 201069
12 200966
13 200965
14 198964
15 201250
16 202150
17
Assessment of proliferative and colony-forming capacity after successive in vitro divisions of single human CD34+ cells initially isolated in G0.
199844
18 200744
19 201543
20 202343

About André Gothot

André Gothot is a scholar working on Hematology, Orthopedics and Sports Medicine, Immunology and Allergy, Genetics and Genetics, having authored 99 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (23 papers), Tendon Structure and Treatment (11 papers), Sepsis Diagnosis and Treatment (4 papers), Erythropoietin and Anemia Treatment (3 papers), Blood groups and transfusion (3 papers), Cell Adhesion Molecules Research (3 papers), Genetic Associations and Epidemiology (3 papers) and Periodontal Regeneration and Treatments (2 papers). The work is most often cited by research in Hematology (753 citations), Genetics (242 citations), Orthopedics and Sports Medicine (154 citations), Urology (78 citations) and Immunology (138 citations). André Gothot has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Edward F. Srour, Yves P. Beguin, D. Wade Clapp, Johannes C.M. van der Loo, Susan E. Rice, Robert E. Pyatt, Jon McMahel, Laurence Seidel, Gilles Vanderstocken and Dolphe Kutter. Their work appears in journals such as Blood, Haematologica, PLoS ONE, Experimental Hematology and Vox Sanguinis.

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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