Prashant Hiwarkar
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Transplantation top 10%
Papers in
- Hematology 15
- Hematopoietic Stem Cell Transplantation 10
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 2
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- Immune Cell Function and Interaction 6
- Co-authors
- Paul Veys (8 shared papers)Persis Amrolia (7 shared papers)Waseem Qasim (5 shared papers)Kimberly Gilmour (5 shared papers)Robert Wynn (9 shared papers)Aurore Saudemont (3 shared papers)Robert Chiesa (4 shared papers)Catherine M. Cale (2 shared papers)
- Journals
- Bone Marrow Transplantation (3 papers)Blood Advances (3 papers)Blood (2 papers)Journal of Clinical Immunology (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- United KingdomIndiaNetherlands
In The Last Decade
Prashant Hiwarkar
25 papers receiving 618 citations
Peers
Comparison fields: 5 of 50
- Hematology 253
- Transplantation 28
- Immunology 161
- Genetics 194
- Oncology 165
Countries citing papers authored by Prashant Hiwarkar
This map shows the geographic impact of Prashant Hiwarkar'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 Prashant Hiwarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Hiwarkar more than expected).
Fields of papers citing papers by Prashant Hiwarkar
This network shows the impact of papers produced by Prashant Hiwarkar. 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 Prashant Hiwarkar. The network helps show where Prashant Hiwarkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Hiwarkar, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 110 | |
| 2 | 2017 | 87 | |
| 3 | 2012 | 87 | |
| 4 | 2015 | 71 | |
| 5 | 2018 | 56 | |
| 6 | 2017 | 31 | |
| 7 | 2014 | 30 | |
| 8 | 2015 | 24 | |
| 9 | 2018 | 19 | |
| 10 | 2010 | 17 | |
| 11 | 2010 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2018 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 4 | |
| 20 | Acquired pure red cell aplasia in a child. | 2002 | 4 |
About Prashant Hiwarkar
Prashant Hiwarkar is a scholar working on Hematology, Immunology, Oncology, Epidemiology and Genetics, having authored 27 papers that have together received 622 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (7 papers), Immune Cell Function and Interaction (6 papers), Cytomegalovirus and herpesvirus research (6 papers), CAR-T cell therapy research (5 papers), Virus-based gene therapy research (5 papers), Acute Lymphoblastic Leukemia research (3 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (253 citations), Transplantation (28 citations), Immunology (161 citations), Genetics (194 citations) and Oncology (165 citations). Prashant Hiwarkar has collaborated with scholars based in United Kingdom, India and Netherlands. Frequent co-authors include Paul Veys, Persis Amrolia, Waseem Qasim, Kimberly Gilmour, Robert Wynn, Aurore Saudemont, Robert Chiesa, Catherine M. Cale, Kanchan Rao and Judith Breuer. Their work appears in journals such as Bone Marrow Transplantation, Blood Advances, Blood, Journal of Clinical Immunology and British Journal of Haematology.
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.