Parul Doshi
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 19
- Cancer Immunotherapy and Biomarkers 6
- Chemokine receptors and signaling 5
- Hematology 18
- Multiple Myeloma Research and Treatments 14
- Co-authors
- Joseph D. Szustakowski (2 shared papers)Radu Dobrin (1 shared paper)Simon Papillon‐Cavanagh (1 shared paper)Alice M. Walsh (1 shared paper)Paul W.H.I. Parren (4 shared papers)Richard M. Kaufman (2 shared papers)Maria Aguad (2 shared papers)Claudia I. Chapuy (2 shared papers)
- Journals
- Blood (11 papers)Cancer Research (6 papers)Transfusion (4 papers)Leukemia (4 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesNetherlandsSpain
In The Last Decade
Parul Doshi
48 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 70
- Hematology 687
- Oncology 683
- Physiology 113
- Genetics 207
- Immunology 400
Countries citing papers authored by Parul Doshi
This map shows the geographic impact of Parul Doshi'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 Parul Doshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parul Doshi more than expected).
Fields of papers citing papers by Parul Doshi
This network shows the impact of papers produced by Parul Doshi. 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 Parul Doshi. The network helps show where Parul Doshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Parul Doshi, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 208 | |
| 2 | 2015 | 159 | |
| 3 | 2020 | 146 | |
| 4 | 2014 | 142 | |
| 5 | 2015 | 112 | |
| 6 | 2014 | 99 | |
| 7 | 2014 | 88 | |
| 8 | 2017 | 86 | |
| 9 | 2007 | 77 | |
| 10 | 2016 | 71 | |
| 11 | 2016 | 45 | |
| 12 | 2002 | 38 | |
| 13 | 1991 | 36 | |
| 14 | 1993 | 34 | |
| 15 | 2019 | 33 | |
| 16 | 2017 | 29 | |
| 17 | 1991 | 27 | |
| 18 | 2017 | 27 | |
| 19 | 2017 | 23 | |
| 20 | 2018 | 17 |
About Parul Doshi
Parul Doshi is a scholar working on Oncology, Hematology, Immunology, Genetics and Molecular Biology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Chronic Lymphocytic Leukemia Research (10 papers), Immune Cell Function and Interaction (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (5 papers), Chemokine receptors and signaling (5 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hematology (687 citations), Oncology (683 citations), Physiology (113 citations), Genetics (207 citations) and Immunology (400 citations). Parul Doshi has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Joseph D. Szustakowski, Radu Dobrin, Simon Papillon‐Cavanagh, Alice M. Walsh, Paul W.H.I. Parren, Richard M. Kaufman, Maria Aguad, Claudia I. Chapuy, Kate Sasser and Bjoern Chapuy. Their work appears in journals such as Blood, Cancer Research, Transfusion, Leukemia and Journal of Clinical Oncology.
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.