Léa Montégut

664 total citations · 1 hit paper
27 papers, 295 citations indexed

About

Léa Montégut is a scholar working on Molecular Biology, Epidemiology and Pharmacology. According to data from OpenAlex, Léa Montégut has authored 27 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Epidemiology and 5 papers in Pharmacology. Recurrent topics in Léa Montégut's work include Autophagy in Disease and Therapy (7 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Léa Montégut is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Léa Montégut collaborates with scholars based in France, Spain and Italy. Léa Montégut's co-authors include Guido Kroemer, Carlos López-Otı́n, Laurence Zitvogel, Isabelle Martins, Chr̀istophe Magnan, Mahmoud Abdellatif, Omar Motiño, Rafael de Cabo, Frank Madeo and Adrien Joseph and has published in prestigious journals such as Nature reviews. Immunology, PLoS ONE and European Heart Journal.

In The Last Decade

Léa Montégut

24 papers receiving 293 citations

Hit Papers

Aging and cancer 2024 2026 2025 2024 20 40 60

Peers

Léa Montégut
Comparison fields: 5 of 80
  • Molecular Biology 110
  • Physiology 52
  • Oncology 50
  • Epidemiology 47
  • Cancer Research 37
Sudarshan Krishnamurthy United States
Patrycja Jabłońska Poland
Lifeng Feng China
Marchele Nowell United States
Anling Hu China
Giulio Giustarini Italy
Mohsen Saravani Iran
Chunchun Wei China
Chu‐Yen Chien Taiwan
Sudarshan Krishnamurthy United States View profile →
Citations per field, relative to Léa Montégut
Léa Montégut · 1×
Citations per year, relative to Léa Montégut
Léa Montégut · 1×

Countries citing papers authored by Léa Montégut

Since Specialization
Citations

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

Fields of papers citing papers by Léa Montégut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léa Montégut

This figure shows the co-authorship network connecting the top 25 collaborators of Léa Montégut. A scholar is included among the top collaborators of Léa Montégut 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 Léa Montégut. Léa Montégut 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 4
4 0
5 2
6 3
7 7
8 2
9 1
10 15
11 2
12
Aging and cancer breakdown →
74
13 23
14 26
15 8
16 14
17 12
18 1
19 0
20 10

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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