Léa Guyonnet

1.3k citations
19 papers · 526 · h-index 11

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Advanced Glycation End Products research

Papers in

    • Coagulation, Bradykinin, Polyphosphates, and Angioedema 2
    • Immune cells in cancer 3
    • Atherosclerosis and Cardiovascular Diseases 2

Léa Guyonnet

17 papers receiving 519 citations

Peers

Léa Guyonnet
Comparison fields: 5 of 77
  • Nephrology 144
  • Clinical Biochemistry 36
  • Immunology 97
  • Epidemiology 145
  • Physiology 15
Replace Kishor Devalaraja‐Narashimha with:
Kishor Devalaraja‐Narashimha United States
Zhixia Song China
Naijun Miao China
Rui Xi Li China
Patrick Wilkinson United States
Sufyan G. Sayyed India
Yoichiro Ikeda Japan
Zongyu Zheng United States
Léa Guyonnet relative to Kishor Devalaraja‐Narashimha United States Kishor Devalaraja‐Narashimha's profile →
Citations per field
00.5×1.5×2.0×
Kishor Devalaraja‐Narashimha · 1×
Citations per year

Countries citing papers authored by Léa Guyonnet

Since Specialization
Citations

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

Fields of papers citing papers by Léa Guyonnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2015233
2 201850
3 201733
4 201731
5 201830
6 201428
7 202123
8 201718
9 202118
10 202316
11 202311
12 202310
13 202010
14 20228
15 20153
16 20213
17 20221
18 20250
19 20250

About Léa Guyonnet

Léa Guyonnet is a scholar working on Genetics, Immunology, Epidemiology, Biomedical Engineering and Molecular Biology, having authored 19 papers that have together received 526 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (3 papers), Immune cells in cancer (3 papers), Nanoplatforms for cancer theranostics (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Renin-Angiotensin System Studies (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Mechanical Circulatory Support Devices (2 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Nephrology (144 citations), Clinical Biochemistry (36 citations), Immunology (97 citations), Epidemiology (145 citations) and Physiology (15 citations). Léa Guyonnet has collaborated with scholars based in France, United Kingdom and Luxembourg. Frequent co-authors include Pierre‐Louis Tharaux, Olivia Lenoir, Carole Hénique, Anna Chipont, Michèle Souyri, Björn Hartleben, Tillmann Bork, Alain Schmitt, Kathleen Flosseau and Tobias B. Huber. Their work appears in journals such as Kidney International, Nature Communications, Autophagy, Pharmaceutics and Journal of Extracellular Vesicles.

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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