Raoul Triller

564 total citations
18 papers, 327 citations indexed

About

Raoul Triller is a scholar working on Oncology, Dermatology and Pathology and Forensic Medicine. According to data from OpenAlex, Raoul Triller has authored 18 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Dermatology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Raoul Triller's work include Cutaneous Melanoma Detection and Management (7 papers), AI in cancer detection (3 papers) and Genetic and rare skin diseases. (2 papers). Raoul Triller is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), AI in cancer detection (3 papers) and Genetic and rare skin diseases. (2 papers). Raoul Triller collaborates with scholars based in France, Germany and United States. Raoul Triller's co-authors include Thomas A. Luger, Sophie Seité, Brigitte Dréno, Jean Krutmann, René‐Jean Bensadoun, André Rougier, Philippe Humbert, Bernard Fertil, Philippe Humbert and Jean-Claude Guillaume and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Journal of Investigative Dermatology.

In The Last Decade

Raoul Triller

16 papers receiving 304 citations

Peers

Raoul Triller
Comparison fields: 5 of 64
  • Oncology 128
  • Dermatology 104
  • Pathology and Forensic Medicine 82
  • Genetics 76
  • Rheumatology 76
Replace Nicole F. Vélez with:
Nicole F. Vélez United States
Arash Taheri Iran
Felicidade Santiago Portugal
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A. Perrinaud France
Haiqin Zhu China
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Nicole F. Vélez United States View profile →
Citations per field, relative to Raoul Triller
Raoul Triller · 1×
Citations per year, relative to Raoul Triller
Raoul Triller · 1×

Countries citing papers authored by Raoul Triller

Since Specialization
Citations

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

Fields of papers citing papers by Raoul Triller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raoul Triller

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 42
2 26
3 18
4 2
5 30
6 24
7 14
8 51
9 1
10 3
11
[Cutaneous polyarteritis nodosa in children: three cases].
6
12 2
13 20
14 0
15
[Nodular primary localized cutaneous amyloidosis of the tip of the nose].
1
16 4
17
[Darier's erythema annulare centrifugum and primary Vaquez polycythemia].
2
18 81

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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