Laurent Buffat

2.8k citations
36 papers · 1.8k · h-index 18

Impact in

    • Breast Cancer Treatment Studies
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology

Papers in

Laurent Buffat

34 papers receiving 1.8k citations

Peers

Laurent Buffat
Comparison fields: 5 of 109
  • Cancer Research 411
  • Immunology 548
  • Hepatology 180
  • Pathology and Forensic Medicine 283
  • Surgery 521
Replace Y. Nakajima with:
Y. Nakajima Japan
J. Solà Spain
Kuniyuki Oka Japan
Christopher Siegel United States
Yehuda Skornick Israel
Mitsuo Ohta Japan
Masatsugu Iwamura Japan
Chi Lin United States
Jon Mallen‐St. Clair United States
Seiji Haraoka Japan
Laurent Buffat relative to Y. Nakajima Japan Y. Nakajima's profile →
Citations per field
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Citations per year

Countries citing papers authored by Laurent Buffat

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Buffat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014439
2 1999213
3 2005209
4 1999164
5 1994113
6 199484
7 199574
8 201669
9 199663
10 199760
11 199858
12 200532
13 200127
14 199824
15 202121
16 199521
17 199520
18 201418
19 201817
20 202116

About Laurent Buffat

Laurent Buffat is a scholar working on Molecular Biology, Immunology, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Colorectal and Anal Carcinomas (5 papers), Sarcoma Diagnosis and Treatment (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Cancer Research (411 citations), Immunology (548 citations), Hepatology (180 citations), Pathology and Forensic Medicine (283 citations) and Surgery (521 citations). Laurent Buffat has collaborated with scholars based in France, United States and Sweden. Frequent co-authors include E. Touboul, Michel Schlienger, A Laugier, Alain‐Jacques Valleron, Thierry Poynard, Sylvie Deuffic‐Burban, J Blondon, Jean‐Pierre Lefranc, Simon de Bernard and Françoise Pène. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Cancer, Molecular Therapy — Oncolytics and Human Vaccines & Immunotherapeutics.

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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