Sarah Péricart

783 total citations
24 papers, 335 citations indexed

About

Sarah Péricart is a scholar working on Oncology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Sarah Péricart has authored 24 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Pathology and Forensic Medicine and 5 papers in Neurology. Recurrent topics in Sarah Péricart's work include Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (7 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Sarah Péricart is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Viral-associated cancers and disorders (7 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Sarah Péricart collaborates with scholars based in France, Germany and Brazil. Sarah Péricart's co-authors include Camille Laurent, Pierre Brousset, Jean‐Jacques Fournié, Marie Tosolini, Pauline Gravelle, Cédric Rossi, Christine Bezombes, Diane Damotte, Barbara Burroni and Charlotte Syrykh and has published in prestigious journals such as The Lancet, American Journal Of Pathology and Cell Reports.

In The Last Decade

Sarah Péricart

20 papers receiving 333 citations

Peers

Sarah Péricart
Comparison fields: 5 of 54
  • Oncology 155
  • Pathology and Forensic Medicine 125
  • Immunology 86
  • Molecular Biology 82
  • Pulmonary and Respiratory Medicine 79
Replace Yanfen Feng with:
Yanfen Feng China
Katrin Bertram Switzerland
Audrey Gros France
Andrea Bier Germany
Giovanna Bosshard Switzerland
Naoto Nakamichi Japan
Amélie I. Velghe Belgium
Niharika B. Mettu United States
James Watkins United Kingdom
Yanfen Feng China View profile →
Citations per field, relative to Sarah Péricart
Sarah Péricart · 1×
Citations per year, relative to Sarah Péricart
Sarah Péricart · 1×

Countries citing papers authored by Sarah Péricart

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Péricart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Péricart

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 15
5 0
6 17
7 0
8 4
9 5
10 2
11 11
12 19
13 17
14 9
15 39
16 18
17 21
18 17
19 45
20 2

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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