Edith Bigot

668 citations
15 papers · 478 · h-index 9

Impact in

  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Renal Transplantation Outcomes and Treatments

Papers in

Edith Bigot

15 papers receiving 463 citations

Peers

Edith Bigot
Comparison fields: 5 of 60
  • Nephrology 265
  • Transplantation 55
  • Pathology and Forensic Medicine 82
  • Immunology 83
  • Endocrinology, Diabetes and Metabolism 55
Replace Gopala K. Rangan with:
Gopala K. Rangan Australia
Davoud Mohtat United States
Koei Yamada Japan
Daphne H.T. IJpelaar Netherlands
Jürgen Floege Germany
M. Haneda Japan
Chun-Gyoo Ihm South Korea
Jennifer Hawkins United States
Lara Valiño‐Rivas Spain
Krissanapong Manotham Thailand
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Citations per field
00.5×3.1×
Gopala K. Rangan · 1×
Citations per year

Countries citing papers authored by Edith Bigot

Since Specialization
Citations

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

Fields of papers citing papers by Edith Bigot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1994293
2 199052
3 201827
4 201925
5 200915
6
A minimal model using stable isotopes to study the metabolism of apolipoprotein B-containing lipoproteins in humans.
199615
7 20119
8
Effects of plasma-protein A immunoadsorption on idiopathic nephrotic syndrome recurring after renal transplantation.
19929
9 20128
10 20127
11 20116
12 20105
13 19974
14 20172
15 20121

About Edith Bigot

Edith Bigot is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Biomedical Engineering, having authored 15 papers that have together received 478 indexed citations. Recurring topics across this work include Photodynamic Therapy Research Studies (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Nanoplatforms for cancer theranostics (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Renal Diseases and Glomerulopathies (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Nephrology (265 citations), Transplantation (55 citations), Pathology and Forensic Medicine (82 citations), Immunology (83 citations) and Endocrinology, Diabetes and Metabolism (55 citations). Edith Bigot has collaborated with scholars based in France. Frequent co-authors include Jacques Dantal, Jean Paul Soulillou, Patrick Niaudet, Bruno Hurault de Ligny, Yannick Jacques, Willy Bogers, Bernard Charpentier, Angelo Testa, Thierry Patrice and F Mainard. Their work appears in journals such as Journal of Photochemistry and Photobiology B Biology, Atherosclerosis, Scientific Reports, Journal of Thrombosis and Thrombolysis and Journal of Alzheimer s Disease.

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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