Mathieu J. F. Crupi

732 citations
19 papers · 303 indexed · h-index 11
Topics
Virus-based gene therapy research (7 papers)CAR-T cell therapy research (4 papers)Cellular transport and secretion (3 papers)
Journals
SHILAP Revista de lepidopterologíaOncogeneScientific Reports

In The Last Decade

Mathieu J. F. Crupi

16 papers receiving 300 citations

Peers

Mathieu J. F. Crupi
Comparison fields: 5 of 59
  • Molecular Biology 187
  • Oncology 74
  • Cell Biology 46
  • Infectious Diseases 46
  • Genetics 40
Replace Willine J. van de Wetering with:
Willine J. van de Wetering Netherlands
Hirofumi Higuchi Japan
Jean‐Sébastien Palerme United States
Benoît Chapellier France
Wolfgang M. Rohn United States
Harry H. Matundan United States
Berit Genz Germany
Lance Fors United States
Anna Sanecka-Duin United States
Loraine Jarrosson-Wuillème France
Mathieu J. F. Crupi relative to Willine J. van de Wetering Netherlands Willine J. van de Wetering's profile →
Citations per field
00.5×10×
Willine J. van de Wetering · 1×
Citations per year

Countries citing papers authored by Mathieu J. F. Crupi

Since Specialization
Citations

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

Fields of papers citing papers by Mathieu J. F. Crupi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathieu J. F. Crupi. 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 Mathieu J. F. Crupi. The network helps show where Mathieu J. F. Crupi may publish in the future.

Co-authorship network of co-authors of Mathieu J. F. Crupi

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu J. F. Crupi. A scholar is included among the top collaborators of Mathieu J. F. Crupi 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 Mathieu J. F. Crupi. Mathieu J. F. Crupi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 5
3 4
4 49
5 25
6 7
7 16
8 10
9 1
10 15
11 18
12 23
13 0
14 7
15 22
16 32
17 17
18 9
19 43

About Mathieu J. F. Crupi

Mathieu J. F. Crupi is a scholar working on Cell Biology, Genetics and Animal Science and Zoology, having authored 19 papers that have together received 303 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (4 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (46 citations), Molecular Biology (187 citations) and Oncology (74 citations). Mathieu J. F. Crupi has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Lois M. Mulligan, John C. Bell, Carolina S. Ilkow, Stephen Boulton, Douglas S. Richardson, Ragunath Singaravelu, David M. Rodrigues, Costin N. Antonescu, Adrian C. Nicolescu and Reza Rezaei. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.

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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