Frédéric Bigot

768 citations
33 papers · 356 indexed · h-index 9

Frédéric Bigot

31 papers receiving 349 citations

Peers

Frédéric Bigot
Comparison fields: 5 of 65
  • Oncology 220
  • Pulmonary and Respiratory Medicine 140
  • Cancer Research 64
  • Surgery 84
  • Orthopedics and Sports Medicine 15
Replace Jeltje Schulten with:
Jeltje Schulten Germany
Caitlin A. Schonewolf United States
Xiaowei Shen Canada
Judit Kocsis Hungary
Kimberly R. Porter United States
Çağlayan Geredeli Türkiye
Angela Pang Singapore
Antonella Villa Italy
Guochen Duan China
Carles Conill Spain
Frédéric Bigot relative to Jeltje Schulten Germany Jeltje Schulten's profile →
Citations per field
00.5×1.6×
Jeltje Schulten · 1×
Citations per year

Countries citing papers authored by Frédéric Bigot

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Bigot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20241
4 20231
5 20231
6 20232
7 20231
8 20233
9 20238
10 20231
11 202311
12 20222
13 20216
14 20217
15 20208
16 20170
17 2017145
18 20178
19 20162
20 201147

About Frédéric Bigot

Frédéric Bigot is a scholar working on Oncology, Medical Laboratory Technology, Pulmonary and Respiratory Medicine, Cancer Research and Obstetrics and Gynecology, having authored 33 papers that have together received 356 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Cancer Genomics and Diagnostics (6 papers), Lung Cancer Treatments and Mutations (6 papers), COVID-19 and healthcare impacts (6 papers), Advanced Breast Cancer Therapies (3 papers), Global Cancer Incidence and Screening (3 papers), Bladder and Urothelial Cancer Treatments (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Oncology (220 citations), Pulmonary and Respiratory Medicine (140 citations), Cancer Research (64 citations), Surgery (84 citations) and Orthopedics and Sports Medicine (15 citations). Frédéric Bigot has collaborated with scholars based in France, Italy and Spain. Frequent co-authors include Christophe Massard, Eric Angevin, Aurélien Marabelle, Antoine Hollebecque, Sophie Postel‐Vinay, Capucine Baldini, Jean‐Marie Michot, Sandrine Aspeslagh, Eduardo Castañón and Andréa Varga. Their work appears in journals such as Annals of Oncology, Cancers, Journal of Clinical Oncology, ESMO Open and Journal of Thoracic Oncology.

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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