I Pélisson

463 citations
8 papers · 419 · h-index 6

Impact in

  • Oncology top 10%
    • Viral-associated cancers and disorders
  • Immunology top 10%
    • T-cell and Retrovirus Studies

Papers in

I Pélisson

8 papers receiving 408 citations

Peers

I Pélisson
Comparison fields: 5 of 36
  • Oncology 251
  • Immunology 199
  • Small Animals 78
  • Cancer Research 40
  • Pathology and Forensic Medicine 48
Replace Andrea Knappe with:
Andrea Knappe Germany
J P Li United States
M. T. Thomas France
Joëlle Thonnard Belgium
Daniela Tramonti United Kingdom
Larry Levy United States
Shannon M. Grande United States
M. Stewart United Kingdom
Vladimir Gurtsevitch Russia
William Harel United States
I Pélisson relative to Andrea Knappe Germany Andrea Knappe's profile →
Citations per field
00.5×2×4×6×8×9.8×
Andrea Knappe · 1×
Citations per year

Countries citing papers authored by I Pélisson

Since Specialization
Citations

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

Fields of papers citing papers by I Pélisson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside I Pélisson, 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 I Pélisson Line = papers co-authored together I Pélisson links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Detection of mammary tumor virus env gene-like sequences in human breast cancer.
1995159
2
Identification of a proviral structure in human breast cancer.
2001128
3 200154
4 200144
5 199216
6
A possible role for human papillomaviruses and c-myc, c-Ha-ras, and p53 gene alterations in malignant cutaneous lesions from renal transplant recipients.
199615
7 19932
8
En busca de secuencias retrovirales relacionadas con el cancer de mama humano
19971

About I Pélisson

I Pélisson is a scholar working on Small Animals, Immunology, Oncology, Epidemiology and Plant Science, having authored 8 papers that have together received 419 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), T-cell and Retrovirus Studies (5 papers), Infectious Diseases and Mycology (4 papers), Nonmelanoma Skin Cancer Studies (2 papers), Cervical Cancer and HPV Research (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Oncology (251 citations), Immunology (199 citations), Small Animals (78 citations), Cancer Research (40 citations) and Pathology and Forensic Medicine (48 citations). I Pélisson has collaborated with scholars based in United States and France. Frequent co-authors include Stella M. Melana, Beatriz G.T. Pogo, James F. Holland, Yue Wang, Bin Liu, Vesna Najfeld, Kathleen A. Stellrecht, Ira J. Bleiweiss, Y Chardonnet and Sylvie Euvrard. Their work appears in journals such as Journal of Dermatological Science, International Journal of Oncology, International Journal of Cancer, Archives of Virology and PubMed.

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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