Marc Bigaud
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Sphingolipid Metabolism and Signaling 12
- Lipid Membrane Structure and Behavior 2
- Surgery 6
- Organ Transplantation Techniques and Outcomes 3
- Co-authors
- Volker Brinkmann (4 shared papers)Andreas Billich (3 shared papers)Danilo Guerini (3 shared papers)Frédéric Bassilana (2 shared papers)Beatrice Hauss‐Wegrzyniak (1 shared paper)Ljiljana Luković (1 shared paper)M.E. Stoeckel (1 shared paper)Grazyna Wieczorek (7 shared papers)
- Journals
- Neurology (5 papers)Transplantation (3 papers)American Journal of Transplantation (2 papers)The Journal of Immunology (2 papers)PLoS ONE (2 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Marc Bigaud
29 papers receiving 801 citations
Peers
Comparison fields: 5 of 80
- Transplantation 114
- Neurology 104
- Immunology 228
- Biological Psychiatry 21
- Virology 38
Countries citing papers authored by Marc Bigaud
This map shows the geographic impact of Marc Bigaud'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 Marc Bigaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Bigaud more than expected).
Fields of papers citing papers by Marc Bigaud
This network shows the impact of papers produced by Marc Bigaud. 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 Marc Bigaud. The network helps show where Marc Bigaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Bigaud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 106 | |
| 2 | 2012 | 100 | |
| 3 | 1998 | 97 | |
| 4 | 2004 | 73 | |
| 5 | 2008 | 66 | |
| 6 | 2006 | 55 | |
| 7 | 2013 | 40 | |
| 8 | 2011 | 33 | |
| 9 | 2006 | 32 | |
| 10 | 2019 | 31 | |
| 11 | 2004 | 26 | |
| 12 | 2021 | 20 | |
| 13 | 2016 | 19 | |
| 14 | 1999 | 18 | |
| 15 | 2011 | 14 | |
| 16 | 2019 | 14 | |
| 17 | 2004 | 12 | |
| 18 | 2014 | 10 | |
| 19 | 2008 | 9 | |
| 20 | 1992 | 8 |
About Marc Bigaud
Marc Bigaud is a scholar working on Molecular Biology, Surgery, Immunology, Transplantation and Pathology and Forensic Medicine, having authored 29 papers that have together received 813 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (12 papers), Renal Transplantation Outcomes and Treatments (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), T-cell and B-cell Immunology (3 papers), Phytochemistry and Biological Activities (3 papers), Multiple Sclerosis Research Studies (3 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Transplantation (114 citations), Neurology (104 citations), Immunology (228 citations), Biological Psychiatry (21 citations) and Virology (38 citations). Marc Bigaud has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Volker Brinkmann, Andreas Billich, Danilo Guerini, Frédéric Bassilana, Beatrice Hauss‐Wegrzyniak, Ljiljana Luković, M.E. Stoeckel, Grazyna Wieczorek, Christian Beerli and Christian Bruns. Their work appears in journals such as Neurology, Transplantation, American Journal of Transplantation, The Journal of Immunology and PLoS ONE.
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.