Michel Vidal
Impact in
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Cyclopropane Reaction Mechanisms 11
- Click Chemistry and Applications 11
- Synthetic Organic Chemistry Methods 10
- Oncology 39
- Co-authors
- Christiane Garbay (32 shared papers)Benoı̂t Blanchet (48 shared papers)François Goldwasser (38 shared papers)Wang‐Qing Liu (30 shared papers)Pascaline Boudou‐Rouquette (27 shared papers)Audrey Thomas‐Schoemann (31 shared papers)Gaëlle Noé (18 shared papers)Sylvain Broussy (16 shared papers)
In The Last Decade
Michel Vidal
181 papers receiving 10.1k citations
Michel Vidal's Hit Papers
Peers
Comparison fields: 5 of 171
- Epidemiology 4.1k
- Physiology 544
- Geriatrics and Gerontology 337
- Aging 115
- Cell Biology 1.0k
Countries citing papers authored by Michel Vidal
This map shows the geographic impact of Michel Vidal'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 Michel Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel Vidal more than expected).
Fields of papers citing papers by Michel Vidal
This network shows the impact of papers produced by Michel Vidal. 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 Michel Vidal. The network helps show where Michel Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Michel Vidal, 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 2 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 3 | 2012 | 255 | |
| 4 | 2020 | 99 | |
| 5 | 2018 | 94 | |
| 6 | 2004 | 92 | |
| 7 | 2006 | 92 | |
| 8 | 2012 | 87 | |
| 9 | 2002 | 85 | |
| 10 | 1999 | 84 | |
| 11 | 2013 | 83 | |
| 12 | 2011 | 71 | |
| 13 | 2020 | 61 | |
| 14 | 2018 | 59 | |
| 15 | 2001 | 58 | |
| 16 | 2016 | 55 | |
| 17 | 2018 | 51 | |
| 18 | 2015 | 47 | |
| 19 | 2014 | 46 | |
| 20 | 2018 | 42 |
About Michel Vidal
Michel Vidal is a scholar working on Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 186 papers that have together received 10.3k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (21 papers), Chemical Synthesis and Analysis (20 papers), Angiogenesis and VEGF in Cancer (20 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Cyclopropane Reaction Mechanisms (11 papers), Click Chemistry and Applications (11 papers), Synthetic Organic Chemistry Methods (10 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). The work is most often cited by research in Epidemiology (4.1k citations), Physiology (544 citations), Geriatrics and Gerontology (337 citations), Aging (115 citations) and Cell Biology (1.0k citations). Michel Vidal has collaborated with scholars based in France, Spain and China. Frequent co-authors include Christiane Garbay, Benoı̂t Blanchet, François Goldwasser, Wang‐Qing Liu, Pascaline Boudou‐Rouquette, Audrey Thomas‐Schoemann, Gaëlle Noé, Sylvain Broussy, Jérôme Alexandre and Olivier Mir. Their work appears in journals such as Tetrahedron Letters, Journal of Medicinal Chemistry, Tetrahedron, Bioorganic & Medicinal Chemistry Letters and Journal of Chromatography B.
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.