C Vidal
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Toxicology top 5%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Signaling Pathways in Disease 3
- Biochemical and Molecular Research 3
- Co-authors
- Gabriele Kirchner (7 shared papers)Wolfgang Jacobsen (5 shared papers)Karl‐Friedrich Sewing (5 shared papers)Uwe Christians (3 shared papers)Michael P. Manns (3 shared papers)Karl-Fr. Sewing (1 shared paper)Natalie J. Serkova (1 shared paper)Leslie Z. Benet (1 shared paper)
- Journals
- Therapeutic Drug Monitoring (4 papers)Clinical Chemistry (1 paper)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
C Vidal
16 papers receiving 443 citations
Peers
Comparison fields: 5 of 70
- Transplantation 226
- Toxicology 44
- Pharmacology 116
- Physiology 28
- Pediatrics, Perinatology and Child Health 84
Countries citing papers authored by C Vidal
This map shows the geographic impact of C 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 C Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Vidal more than expected).
Fields of papers citing papers by C Vidal
This network shows the impact of papers produced by C 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 C Vidal. The network helps show where C Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside C 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
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 158 | |
| 2 | 1999 | 50 | |
| 3 | 1998 | 38 | |
| 4 | 2000 | 35 | |
| 5 | 1999 | 34 | |
| 6 | 2015 | 31 | |
| 7 | 2018 | 29 | |
| 8 | 1998 | 26 | |
| 9 | 2006 | 23 | |
| 10 | 2001 | 12 | |
| 11 | 2007 | 11 | |
| 12 | 2001 | 6 | |
| 13 | 2006 | 5 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 1 | |
| 16 | 1997 | 1 |
About C Vidal
C Vidal is a scholar working on Molecular Biology, Pharmacology, Transplantation, Clinical Psychology and Surgery, having authored 16 papers that have together received 463 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Signaling Pathways in Disease (3 papers), Psychedelics and Drug Studies (3 papers), Biochemical and Molecular Research (3 papers), Pancreatic function and diabetes (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Transplantation (226 citations), Toxicology (44 citations), Pharmacology (116 citations), Physiology (28 citations) and Pediatrics, Perinatology and Child Health (84 citations). C Vidal has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Gabriele Kirchner, Wolfgang Jacobsen, Karl‐Friedrich Sewing, Uwe Christians, Michael P. Manns, Karl-Fr. Sewing, Natalie J. Serkova, Leslie Z. Benet, Anke Franzke and G. Wünsch. Their work appears in journals such as Therapeutic Drug Monitoring, Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of the American Society for Mass Spectrometry and British Journal of Clinical Pharmacology.
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.