A Sanghvi
- Co-authors
- T J ScallenHoward SeltmanWarren F. DivenGeorge V. VahounyM. Galli KienleGiovanni GalliR J PtachcinskiTE Starzl
- Topics
- Cholesterol and Lipid Metabolism (5 papers)Renal Transplantation Outcomes and Treatments (4 papers)Metabolism and Genetic Disorders (3 papers)
- Partner nations
- United StatesItalySaudi Arabia
In The Last Decade
A Sanghvi
21 papers receiving 507 citations
Peers
Comparison fields: 5 of 77
- Surgery 206
- Molecular Biology 153
- Oncology 125
- Transplantation 90
- Pediatrics, Perinatology and Child Health 81
Countries citing papers authored by A Sanghvi
This map shows the geographic impact of A Sanghvi'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 A Sanghvi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Sanghvi more than expected).
Fields of papers citing papers by A Sanghvi
This network shows the impact of papers produced by A Sanghvi. 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 A Sanghvi. The network helps show where A Sanghvi may publish in the future.
Co-authorship network of co-authors of A Sanghvi
This figure shows the co-authorship network connecting the top 25 collaborators of A Sanghvi. A scholar is included among the top collaborators of A Sanghvi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A Sanghvi. A Sanghvi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 34 | |
| 3 | 19 | |
| 4 | Increased cyclosporine uptake by cells pretreated with FK506 and evidence for binding of both drugs to a common intracellular protein. | 3 |
| 5 | 12 | |
| 6 | FK-506 enhances cyclosporine uptake by peripheral blood lymphocytes. | 16 |
| 7 | 4 | |
| 8 | 55 | |
| 9 | Cyclosporine measurement in transplantation. | 2 |
| 10 | 12 | |
| 11 | Biliary Excretion of Cyclosporine in Liver Transplant Patients. | 63 |
| 12 | 8 | |
| 13 | Cyclosporine Monitoring and Pharmacokinetics in Pediatrie Liver Transplant Patients. | 47 |
| 14 | 65 | |
| 15 | Cholestasis in heart transplant recipients treated with cyclosporine. | 68 |
| 16 | 8 | |
| 17 | 59 | |
| 18 | 46 | |
| 19 | 10 | |
| 20 | 3 |
About A Sanghvi
A Sanghvi is a scholar working on Transplantation, Clinical Biochemistry and Surgery, having authored 21 papers that have together received 544 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Transplantation (90 citations), Pharmacology (55 citations) and Clinical Biochemistry (38 citations). A Sanghvi has collaborated with scholars based in United States, Italy and Saudi Arabia. Frequent co-authors include T J Scallen, Howard Seltman, Warren F. Diven, George V. Vahouny, M. Galli Kienle, Giovanni Galli, R J Ptachcinski, TE Starzl, Terence J. Scallen and Raman Venkataramanan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Annals of Neurology.
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.