David Chardin

460 citations
24 papers · 289 · h-index 8

Impact in

Papers in

David Chardin

20 papers receiving 285 citations

Peers

David Chardin
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 142
  • Oncology 154
  • Pulmonary and Respiratory Medicine 110
  • Cancer Research 43
  • Genetics 30
Replace Yuhui Liu with:
Yuhui Liu China
Joaquín Mosquera Spain
J. Madelaine France
Alison M. Weppler Australia
Martin Metzenmacher Germany
Letizia Laera Italy
Robert Harte United Kingdom
Hartmut Kristeleit United Kingdom
Ray Manneh Kopp Spain
Yangsen Cao China
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Citations per field
00.5×2.7×
Yuhui Liu · 1×
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 201961
2 202061
3 202050
4 201928
5 202022
6 202415
7 202210
8 20229
9 20176
10 20225
11 20234
12 20234
13 20214
14 20243
15 20212
16 20191
17 20231
18 20231
19 20191
20 20191

About David Chardin

David Chardin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Genetics, having authored 24 papers that have together received 289 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Imaging Techniques and Applications (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Lung Cancer Treatments and Mutations (4 papers), Gene expression and cancer classification (3 papers), Glioma Diagnosis and Treatment (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (142 citations), Oncology (154 citations), Pulmonary and Respiratory Medicine (110 citations), Cancer Research (43 citations) and Genetics (30 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, Marius Ilié, M. Poudenx, Nicolas Martin, Caroline Bailleux, Jocelyn Gal and Jonathan Benzaquen. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, BMC Bioinformatics, Computational and Structural Biotechnology Journal, Journal for ImmunoTherapy of Cancer and Brain Imaging and Behavior.

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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