Jayesh Mehta
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Transplantation top 5%
Papers in
- Hematology 27
- Multiple Myeloma Research and Treatments 14
- Acute Myeloid Leukemia Research 9
- Hematopoietic Stem Cell Transplantation 8
- Co-authors
- Seema SinghalR PowlesV ShepherdSamar KulkarniBarbara C. MillarDiana TaitJ TreleavenC Horton
- Journals
- Blood (9 papers)British Journal of Haematology (3 papers)Journal of Clinical Oncology (3 papers)Biology of Blood and Marrow Transplantation (2 papers)Transplantation (2 papers)
- Partner nations
- United StatesUnited KingdomPhilippines
In The Last Decade
Jayesh Mehta
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 87
- Hematology 605
- Transplantation 77
- Genetics 166
- Oncology 343
- Immunology 191
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2020 | 4 | |
| 3 | 2019 | 2 | |
| 4 | 2017 | 15 | |
| 5 | 2015 | 12 | |
| 6 | 2012 | 16 | |
| 7 | 2009 | 10 | |
| 8 | 2008 | 5 | |
| 9 | 2008 | 76 | |
| 10 | 2007 | 37 | |
| 11 | 2007 | 15 | |
| 12 | 2003 | 2 | |
| 13 | 2003 | 15 | |
| 14 | 2003 | 8 | |
| 15 | 2000 | 268 | |
| 16 | 1999 | 10 | |
| 17 | 1997 | 10 | |
| 18 | 1995 | 15 | |
| 19 | 1993 | 17 | |
| 20 | 1992 | 0 |
About Jayesh Mehta
Jayesh Mehta is a scholar working on Hematology, Transplantation, Oncology, Genetics and Infectious Diseases, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Cancer Treatment and Pharmacology (8 papers), Protein Degradation and Inhibitors (7 papers), Antifungal resistance and susceptibility (6 papers), Neutropenia and Cancer Infections (5 papers) and Fungal Infections and Studies (5 papers). The work is most often cited by research in Hematology (605 citations), Transplantation (77 citations), Genetics (166 citations), Oncology (343 citations) and Immunology (191 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, Diana Tait, J Treleaven, C Horton, A. J. Rowland and S. G. Long. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation 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.