David Chardin

485 citations
24 papers · 299 · h-index 8

Impact in

Papers in

David Chardin

21 papers receiving 295 citations

Peers

David Chardin
Comparison fields: 5 of 51
  • Radiology, Nuclear Medicine and Imaging 101
  • Oncology 118
  • Genetics 29
  • Cancer Research 32
  • Pulmonary and Respiratory Medicine 57
Replace Urban Simončič with:
Urban Simončič Slovenia
Yuhui Liu China
Miho Kawashima Japan
Butuo Li China
Joaquín Mosquera Spain
Coreline N. Burggraaff Netherlands
Mark A. Francescone United States
Chiara Coriani Italy
Hartmut Kristeleit United Kingdom
Gül Kanyılmaz Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by David Chardin

Since Specialization
Citations

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

Fields of papers citing papers by David Chardin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 201961
3 202051
4 201930
5 202022
6 202416
7 202210
8 20229
9 20177
10 20225
11 20244
12 20234
13 20214
14 20234
15 20232
16 20212
17 20191
18 20231
19 20191
20 20241

About David Chardin

David Chardin is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 24 papers that have together received 299 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Medical Imaging Techniques and Applications (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Glioma Diagnosis and Treatment (3 papers), Advanced Proteomics Techniques and Applications (1 paper), Ferroptosis and cancer prognosis (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (101 citations), Oncology (118 citations), Genetics (29 citations), Cancer Research (32 citations) and Pulmonary and Respiratory Medicine (57 citations). David Chardin has collaborated with scholars based in France, United States and Monaco. Frequent co-authors include Olivier Humbert, Jacques Darcourt, Josiane Otto, Renaud Schiappa, Nicolas Martin, Marius Ilié, M. Poudenx, Caroline Bailleux, Jocelyn Gal and Jonathan Benzaquen. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, BMC Bioinformatics, Journal for ImmunoTherapy of Cancer, Computational and Structural Biotechnology Journal and Medicine.

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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