J. Danion

465 citations
35 papers · 295 · h-index 11

Impact in

Papers in

    • Surgical Simulation and Training 14
    • Organ Transplantation Techniques and Outcomes 9
    • Anatomy and Medical Technology 10

J. Danion

31 papers receiving 291 citations

Peers

J. Danion
Comparison fields: 5 of 63
  • Transplantation 36
  • Hepatology 56
  • Surgery 236
  • Public Health, Environmental and Occupational Health 69
  • Oncology 51
Replace Kin Pan Au with:
Kin Pan Au Hong Kong
Igor Laskowski United States
Timothy O. Wahl United States
A Sicular United States
Th. Schmid Austria
Makoto Muto Japan
Katsuro Takahashi Japan
Nagoud Schukfeh Germany
Y. Naka United States
Susan Farkas Canada
J. Danion relative to Kin Pan Au Hong Kong Kin Pan Au's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by J. Danion

Since Specialization
Citations

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

Fields of papers citing papers by J. Danion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201631
2 201631
3 201831
4 201924
5 201519
6 201618
7 201817
8 202016
9 201916
10 201914
11 201914
12 20209
13 20197
14 20187
15 20205
16 20205
17 20204
18 20184
19 20124
20 20143

About J. Danion

J. Danion is a scholar working on Surgery, Biomedical Engineering, Public Health, Environmental and Occupational Health, Oncology and Physiology, having authored 35 papers that have together received 295 indexed citations. Recurring topics across this work include Surgical Simulation and Training (14 papers), Anatomy and Medical Technology (10 papers), Organ Transplantation Techniques and Outcomes (9 papers), Organ Donation and Transplantation (7 papers), Simulation-Based Education in Healthcare (6 papers), Liver Disease and Transplantation (5 papers), Colorectal Cancer Surgical Treatments (4 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Transplantation (36 citations), Hepatology (56 citations), Surgery (236 citations), Public Health, Environmental and Occupational Health (69 citations) and Oncology (51 citations). J. Danion has collaborated with scholars based in France, Mexico and United Kingdom. Frequent co-authors include Jean‐Pierre Faure, Denis Oriot, Cyril Brèque, Thierry Hauet, Gianluca Donatini, Raphaël Thuillier, Michel Carretier, Sébastien Giraud, X. Matillon and Lionel Badet. Their work appears in journals such as International Journal of Molecular Sciences, Updates in Surgery, Obesity Surgery, Frontiers in Bioengineering and Biotechnology and American Journal of Transplantation.

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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