Raf Sciot

40.2k citations
555 papers · 24.8k indexed · 4 hit papers · h-index 81

Raf Sciot

545 papers receiving 24.1k citations

Hit Papers

KIT mutations and dose selection for imatinib in patients...6542001202620092017250500750

Peers

Raf Sciot
Comparison fields: 5 of 158
  • Gastroenterology 5.0k
  • Pulmonary and Respiratory Medicine 12.5k
  • Rheumatology 5.7k
  • Neurology 3.3k
  • Oncology 5.2k
Replace Robert G. Maki with:
Robert G. Maki United States
Pancras C.W. Hogendoorn Netherlands
Masazumi Tsuneyoshi Japan
Raphael E. Pollock United States
Brian P. Rubin United States
Masashi Fukayama Japan
Yoshinao Oda Japan
Claudio Doglioni Italy
Marco A. Pierotti Italy
Silvana Pilotti Italy
Raf Sciot relative to Robert G. Maki United States Robert G. Maki's profile →
Citations per field
00.5×1.5×
Robert G. Maki · 1×
Citations per year

Countries citing papers authored by Raf Sciot

Since Specialization
Citations

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

Fields of papers citing papers by Raf Sciot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20238
4 201716
5 201765
6 201629
7 2014121
8 201442
9 201259
10 201141
11 2011102
12 201137
13 201068
14 200992
15 200949
16
Glomus tumors in neurofibromatosis type 1: genetic, functional, and clinical evidence of a novel association (vol 69, pg 7393, 2009)
20094
17 200857
18
Cloning of the der(17)t(X;17)(p11;q25) alveolar soft part sarcoma identifies the ASPL-TFE3 gene fusion, a new molecular diagnostic marker
20011
19 2000157
20 20009

About Raf Sciot

Raf Sciot is a scholar working on Gastroenterology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 555 papers that have together received 24.8k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (229 papers), Gastrointestinal Tumor Research and Treatment (80 papers), Bone Tumor Diagnosis and Treatments (63 papers), Soft tissue tumor case studies (62 papers), Cardiac tumors and thrombi (51 papers), Vascular Tumors and Angiosarcomas (50 papers), Neurofibromatosis and Schwannoma Cases (45 papers) and Tumors and Oncological Cases (41 papers). The work is most often cited by research in Gastroenterology (5.0k citations), Pulmonary and Respiratory Medicine (12.5k citations) and Rheumatology (5.7k citations). Raf Sciot has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Maria Dêbiec‐Rychter, Paola Dal Cin, Valeer Desmet, Peter Van Eyken, Herman Van den Berghe, M. van Glabbeke, Fredrik Mertens, Ivo De Wever, Nils Mandahl and Jaap Verweij. Their work appears in journals such as Genes Chromosomes and Cancer, Histopathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Clinical Oncology and Clinical Cancer Research.

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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