Jérôme Chetritt

685 citations
32 papers · 474 indexed · h-index 10
Topics
AI in cancer detection (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Virus-based gene therapy research (4 papers)

In The Last Decade

Jérôme Chetritt

29 papers receiving 465 citations

Peers

Jérôme Chetritt
Comparison fields: 5 of 62
  • Immunology 178
  • Physiology 116
  • Molecular Biology 96
  • Oncology 82
  • Surgery 73
Replace María Jesús Citores with:
María Jesús Citores Spain
Quentin Simon France
Mohamed R. Daha Netherlands
Bernie Scallon Sweden
Liunan Li United States
Monica D. Traystman United States
Monika Jasek Poland
Rie Masai Japan
Betül Çelik Türkiye
Huaqun Zhu China
Jérôme Chetritt relative to María Jesús Citores Spain María Jesús Citores's profile →
Citations per field
00.5×1.5×2.4×
María Jesús Citores · 1×
Citations per year

Countries citing papers authored by Jérôme Chetritt

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Chetritt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Chetritt

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Chetritt. A scholar is included among the top collaborators of Jérôme Chetritt 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 Jérôme Chetritt. Jérôme Chetritt 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
#WorkIndexed citations
1 3
2 1
3 2
4 0
5 2
6 1
7 8
8 3
9 25
10 6
11 29
12 52
13
[Primary muscular antro-pyloric hypertrophy in the adult: case report].
3
14 66
15 26
16 132
17
[Pancreatic metastasis of a renal adenocarcinoma. Apropos of 2 cases].
10
18 51
19 18
20
[Immunohistochemical study of 17 cases of rectal neuroendocrine tumors].
3

About Jérôme Chetritt

Jérôme Chetritt is a scholar working on Oncology, Cancer Research and Rheumatology, having authored 32 papers that have together received 474 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Immunology (178 citations), Transplantation (22 citations) and Rheumatology (72 citations). Jérôme Chetritt has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Ignacio Anegón, Cécile Guillot, Jean‐Paul Soulillou, Homa Adle‐Biassette, María Cristina Cuturi, J M Mussini, Laurent Tesson, Markus Müschen, Régis Josien and C. Vignes. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and The Journal of Immunology.

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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