S. Prey

4.4k citations
64 papers · 2.1k · h-index 24

Impact in

  • Dermatology top 0.5%
    • Dermatology and Skin Diseases
  • Immunology top 5%
    • Psoriasis: Treatment and Pathogenesis

Papers in

    • Cancer Immunotherapy and Biomarkers 21
    • Cutaneous Melanoma Detection and Management 6
    • CAR-T cell therapy research 6
    • Vascular Malformations and Hemangiomas 12

S. Prey

60 papers receiving 2.0k citations

Peers

S. Prey
Comparison fields: 5 of 96
  • Dermatology 584
  • Immunology 769
  • Oncology 607
  • Pathology and Forensic Medicine 298
  • Rheumatology 249
Replace Milan J. Anadkat with:
Milan J. Anadkat United States
Chuanbo Zang United States
Daniel Burge United States
Antonio Carletto Italy
Tamer A. Gheita Egypt
Paola Conigliaro Italy
Angelo Ruggiero Italy
Paola Triggianese Italy
Majed Khraishi Canada
Katayoon Goodarzi United States
S. Prey relative to Milan J. Anadkat United States Milan J. Anadkat's profile →
Citations per field
00.5×1.5×1.9×
Milan J. Anadkat · 1×
Citations per year

Countries citing papers authored by S. Prey

Since Specialization
Citations

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

Fields of papers citing papers by S. Prey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010217
2 2017208
3 2016135
4 2010114
5 2009113
6 2017112
7 2009112
8 2010111
9 2010104
10 201190
11 201164
12 201957
13 201048
14 201248
15 201648
16 201345
17 201942
18 201133
19 201730
20 202130

About S. Prey

S. Prey is a scholar working on Oncology, Surgery, Molecular Biology, Dermatology and Immunology, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (21 papers), Vascular Malformations and Hemangiomas (12 papers), Melanoma and MAPK Pathways (9 papers), Cutaneous Melanoma Detection and Management (6 papers), melanin and skin pigmentation (6 papers), CAR-T cell therapy research (6 papers), Nonmelanoma Skin Cancer Studies (6 papers) and Psoriasis: Treatment and Pathogenesis (6 papers). The work is most often cited by research in Dermatology (584 citations), Immunology (769 citations), Oncology (607 citations), Pathology and Forensic Medicine (298 citations) and Rheumatology (249 citations). S. Prey has collaborated with scholars based in France, United States and Italy. Frequent co-authors include C. Paul, C. Léauté‐Labrèze, Khaled Ezzedine, P. Joly, F. Aubin, Pierre‐Antoine Gourraud, Michel Le Maître, B. Cribier, E. Puzenat and D. Jullien. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, British Journal of Dermatology, Journal of Immunotherapy, Journal of Clinical Oncology and European Journal of Cancer.

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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