Darshana M. Dadhania
- Transplantation top 0.1%
- Surgery top 2%
- Molecular Biology top 10%
- Epidemiology top 5%
- Oncology top 5%
- Co-authors
- Manikkam SuthanthiranThangamani MuthukumarVijay K. SharmaSurya V. SeshanJohn R. LeeRuchuang DingSandip KapurCatherine Snopkowski
- Topics
- Renal Transplantation Outcomes and Treatments (65 papers)Organ Transplantation Techniques and Outcomes (23 papers)Polyomavirus and related diseases (17 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Communications
- Partner nations
- United StatesQatarCanada
In The Last Decade
Darshana M. Dadhania
105 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 123
- Transplantation 1.8k
- Surgery 1.2k
- Molecular Biology 1.0k
- Epidemiology 734
- Oncology 685
Countries citing papers authored by Darshana M. Dadhania
This map shows the geographic impact of Darshana M. Dadhania'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 Darshana M. Dadhania with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darshana M. Dadhania more than expected).
Fields of papers citing papers by Darshana M. Dadhania
This network shows the impact of papers produced by Darshana M. Dadhania. 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 Darshana M. Dadhania. The network helps show where Darshana M. Dadhania may publish in the future.
Co-authorship network of co-authors of Darshana M. Dadhania
This figure shows the co-authorship network connecting the top 25 collaborators of Darshana M. Dadhania. A scholar is included among the top collaborators of Darshana M. Dadhania 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 Darshana M. Dadhania. Darshana M. Dadhania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 21 | |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | 53 | |
| 10 | 5 | |
| 11 | 63 | |
| 12 | 12 | |
| 13 | 25 | |
| 14 | 77 | |
| 15 | 4 | |
| 16 | 38 | |
| 17 | Acute Rejection, Kidney Allograft Function, and Graft Survival in Patients with Circulating Pre-Transplant IgG Antibodies Directed Against Donor HLA-A, -B, or -C Locus Determined Antigens. | 4 |
| 18 | 1 | |
| 19 | 32 | |
| 20 | 12 |
About Darshana M. Dadhania
Darshana M. Dadhania is a scholar working on Transplantation, Nephrology and Infectious Diseases, having authored 110 papers that have together received 4.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (65 papers), Organ Transplantation Techniques and Outcomes (23 papers) and Polyomavirus and related diseases (17 papers). The work is most often cited by research in Transplantation (1.8k citations), Nephrology (478 citations) and Infectious Diseases (659 citations). Darshana M. Dadhania has collaborated with scholars based in United States, Qatar and Canada. Frequent co-authors include Manikkam Suthanthiran, Thangamani Muthukumar, Vijay K. Sharma, Surya V. Seshan, John R. Lee, Ruchuang Ding, Sandip Kapur, Catherine Snopkowski, Choli Hartono and Baogui Li. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.
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.