Francis Lévi

1.3k total citations
16 papers, 727 citations indexed

About

Francis Lévi is a scholar working on Endocrine and Autonomic Systems, Oncology and Physiology. According to data from OpenAlex, Francis Lévi has authored 16 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrine and Autonomic Systems, 7 papers in Oncology and 5 papers in Physiology. Recurrent topics in Francis Lévi's work include Circadian rhythm and melatonin (7 papers), Cancer Treatment and Pharmacology (3 papers) and Cancer therapeutics and mechanisms (2 papers). Francis Lévi is often cited by papers focused on Circadian rhythm and melatonin (7 papers), Cancer Treatment and Pharmacology (3 papers) and Cancer therapeutics and mechanisms (2 papers). Francis Lévi collaborates with scholars based in France, United Kingdom and Belgium. Francis Lévi's co-authors include Alper Okyar, Robert Dallmann, Elisabeth Filipski, B Hecquet, G. Milano, Jean-Louis Misset, G Mathé, W. R. Adam, M. Itzhaki and S. Brienza and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Francis Lévi

16 papers receiving 714 citations

Peers

Francis Lévi
Comparison fields: 5 of 84
  • Endocrine and Autonomic Systems 383
  • Oncology 244
  • Physiology 198
  • Molecular Biology 136
  • Pulmonary and Respiratory Medicine 104
Replace Sofia Meregalli with:
Sofia Meregalli Italy
Teresa G. Granda France
Lívia Carvalho Ferreira Brazil
Tamika Duplessis United States
Ana M. Sánchez‐Sánchez Spain
Ayesha A. Shafi United States
Pieterjan Dierickx Germany
Charlotte Paquet France
Jay Prakash Singh United States
R Bucovec Italy
Sofia Meregalli Italy View profile →
Citations per field, relative to Francis Lévi
Francis Lévi · 1×
Citations per year, relative to Francis Lévi
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Countries citing papers authored by Francis Lévi

Since Specialization
Citations

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

Fields of papers citing papers by Francis Lévi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Lévi

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 8
2 1
3 1
4 1
5 192
6 49
7 23
8 18
9 33
10 50
11 6
12 17
13 83
14 29
15 210
16 6

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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2026