Maxime Bonjour

405 citations
23 papers · 193 · h-index 8

Impact in

Papers in

    • Cervical Cancer and HPV Research 3
    • Hepatitis B Virus Studies 1
    • Autoimmune Neurological Disorders and Treatments 2
    • Neurofibromatosis and Schwannoma Cases 1

Maxime Bonjour

18 papers receiving 188 citations

Peers

Maxime Bonjour
Comparison fields: 5 of 48
  • Epidemiology 72
  • Endocrinology, Diabetes and Metabolism 31
  • Oncology 35
  • Health 9
  • Rheumatology 14
Replace Sibel İnan with:
Sibel İnan Türkiye
Hyung Taek Lim South Korea
Snur Othman Iraq
Zena Stein Serbia
Jeong Hun Bae South Korea
Slavica Marković Serbia
Jeffery Wei Heng Koh Singapore
Chryssoula Labropoulou‐Karatza Greece
Yu-Ann Fang Taiwan
De Luo China
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Citations per field
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Citations per year

Countries citing papers authored by Maxime Bonjour

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Bonjour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 202226
3 201522
4 202022
5 202118
6 202015
7 202012
8 20217
9 20255
10 20243
11 20233
12 20252
13 20242
14 20242
15 20241
16 20261
17 20221
18 20201
19 20240
20 20230

About Maxime Bonjour

Maxime Bonjour is a scholar working on Epidemiology, Neurology, Oncology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 193 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Thyroid Disorders and Treatments (2 papers), Autoimmune Neurological Disorders and Treatments (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Retinal Imaging and Analysis (1 paper), Hepatitis B Virus Studies (1 paper) and Neurofibromatosis and Schwannoma Cases (1 paper). The work is most often cited by research in Epidemiology (72 citations), Endocrinology, Diabetes and Metabolism (31 citations), Oncology (35 citations), Health (9 citations) and Rheumatology (14 citations). Maxime Bonjour has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Iacopo Baussano, Marion Piñeros, Freddie Bray, Eduardo L. Franco, Gary M. Clifford, Hadrien Charvat, Jean‐Damien Combes, Florence Broussais, Alexandra Traverse‐Glehen and Catherine de Martel. Their work appears in journals such as Journal of Clinical Medicine, Nature Communications, Neurophysiologie Clinique, Neuromuscular Disorders and European Thyroid Journal.

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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