Nicolas Chapuis

6.2k total citations
74 papers, 2.7k citations indexed

About

Nicolas Chapuis is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Nicolas Chapuis has authored 74 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hematology, 33 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Nicolas Chapuis's work include Acute Myeloid Leukemia Research (26 papers), PI3K/AKT/mTOR signaling in cancer (14 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers). Nicolas Chapuis is often cited by papers focused on Acute Myeloid Leukemia Research (26 papers), PI3K/AKT/mTOR signaling in cancer (14 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers). Nicolas Chapuis collaborates with scholars based in France, United States and Switzerland. Nicolas Chapuis's co-authors include Didier Bouscary, Jérôme Tamburini, Patrick Mayeux, Lise Willems, Valérie Bardet, Sophie Park, Catherine Lacombe, Alexa S. Green, Norbert Ifrah and François Dreyfus and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Nicolas Chapuis

69 papers receiving 2.6k citations

Peers

Nicolas Chapuis
Comparison fields: 5 of 105
  • Molecular Biology 1.8k
  • Hematology 970
  • Oncology 466
  • Cancer Research 399
  • Genetics 363
Replace Jérôme Tamburini with:
Jérôme Tamburini France
Yuichi Ishikawa Japan
Alessandro Morotti Italy
Hélène Lapillonne France
Shangqin Guo United States
Florian H. Heidel Germany
Dongfeng Qu United States
Elie Traer United States
Shanshan Pei United States
Pascal Colosetti France
Jérôme Tamburini France View profile →
Citations per field, relative to Nicolas Chapuis
Nicolas Chapuis · 1×
Citations per year, relative to Nicolas Chapuis
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Countries citing papers authored by Nicolas Chapuis

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Chapuis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Chapuis

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Chapuis. A scholar is included among the top collaborators of Nicolas Chapuis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Chapuis. Nicolas Chapuis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 5
4 1
5 10
6 0
7 10
8 9
9 25
10 8
11 58
12 39
13 166
14 3
15 147
16 128
17 68
18 113
19 236
20 112

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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