Jayesh Mehta
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Transplantation top 5%
Papers in
- Hematology 26
- Multiple Myeloma Research and Treatments 14
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 7
- Oncology 19
- Cancer Treatment and Pharmacology 7
- Peptidase Inhibition and Analysis 4
- Co-authors
- Seema Singhal (19 shared papers)R Powles (5 shared papers)V Shepherd (2 shared papers)Samar Kulkarni (2 shared papers)Barbara C. Millar (2 shared papers)J Treleaven (1 shared paper)C Horton (1 shared paper)A. J. Rowland (1 shared paper)
- Journals
- Blood (9 papers)British Journal of Haematology (3 papers)Journal of Clinical Oncology (3 papers)Current Treatment Options in Oncology (2 papers)Transplantation (2 papers)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Jayesh Mehta
48 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Hematology 601
- Transplantation 67
- Genetics 149
- Oncology 297
- Immunology 170
Countries citing papers authored by Jayesh Mehta
This map shows the geographic impact of Jayesh Mehta'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 Jayesh Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayesh Mehta more than expected).
Fields of papers citing papers by Jayesh Mehta
This network shows the impact of papers produced by Jayesh Mehta. 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 Jayesh Mehta. The network helps show where Jayesh Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayesh Mehta, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 284 | |
| 2 | 2015 | 96 | |
| 3 | 2008 | 82 | |
| 4 | 2009 | 80 | |
| 5 | 2009 | 76 | |
| 6 | 2007 | 67 | |
| 7 | 2006 | 43 | |
| 8 | 2007 | 39 | |
| 9 | 2008 | 38 | |
| 10 | 2010 | 31 | |
| 11 | 1993 | 26 | |
| 12 | 1993 | 17 | |
| 13 | 2007 | 17 | |
| 14 | 2012 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2003 | 15 | |
| 17 | 1995 | 15 | |
| 18 | 2017 | 15 | |
| 19 | 2013 | 12 | |
| 20 | 2013 | 11 |
About Jayesh Mehta
Jayesh Mehta is a scholar working on Hematology, Oncology, Molecular Biology, Epidemiology and Infectious Diseases, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Acute Myeloid Leukemia Research (8 papers), Protein Degradation and Inhibitors (7 papers), Cancer Treatment and Pharmacology (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Antifungal resistance and susceptibility (6 papers), Renal Transplantation Outcomes and Treatments (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (601 citations), Transplantation (67 citations), Genetics (149 citations), Oncology (297 citations) and Immunology (170 citations). Jayesh Mehta has collaborated with scholars based in United States, United Kingdom and Philippines. Frequent co-authors include Seema Singhal, R Powles, V Shepherd, Samar Kulkarni, Barbara C. Millar, J Treleaven, C Horton, A. J. Rowland, Bhawna Sirohi and Diana Tait. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Current Treatment Options in Oncology and Transplantation.
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.