Beenu Thakral
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 50
- Acute Myeloid Leukemia Research 30
- Chronic Myeloid Leukemia Treatments 18
- Blood groups and transfusion 9
- Genetics 41
- Chronic Lymphocytic Leukemia Research 24
- Myeloproliferative Neoplasms: Diagnosis and Treatment 14
- Co-authors
- Karan Saluja (25 shared papers)Neelam Marwaha (18 shared papers)Ratti Ram Sharma (11 shared papers)L. Jeffrey Medeiros (54 shared papers)Joseph D. Khoury (22 shared papers)Sa A. Wang (29 shared papers)Sophia Yohe (2 shared papers)Sanam Loghavi (18 shared papers)
- Journals
- Blood (15 papers)Human Pathology (7 papers)Modern Pathology (5 papers)American Journal of Clinical Pathology (4 papers)Cancers (3 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Beenu Thakral
105 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 69
- Hematology 474
- Genetics 347
- Pathology and Forensic Medicine 370
- Oncology 309
- Immunology 172
Countries citing papers authored by Beenu Thakral
This map shows the geographic impact of Beenu Thakral'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 Beenu Thakral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beenu Thakral more than expected).
Fields of papers citing papers by Beenu Thakral
This network shows the impact of papers produced by Beenu Thakral. 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 Beenu Thakral. The network helps show where Beenu Thakral may publish in the future.
Co-authors
The 25 scholars most cited alongside Beenu Thakral, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 121 | |
| 2 | 2010 | 104 | |
| 3 | 2019 | 74 | |
| 4 | 2008 | 52 | |
| 5 | 2016 | 46 | |
| 6 | 2018 | 41 | |
| 7 | 2008 | 38 | |
| 8 | 2016 | 37 | |
| 9 | Prevalence & significance of hepatitis C virus (HCV) seropositivity in blood donors. | 2006 | 34 |
| 10 | 2016 | 33 | |
| 11 | 2020 | 30 | |
| 12 | 2018 | 28 | |
| 13 | 2011 | 27 | |
| 14 | 2007 | 24 | |
| 15 | 2020 | 23 | |
| 16 | 2005 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2020 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2018 | 16 |
About Beenu Thakral
Beenu Thakral is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 114 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (30 papers), Lymphoma Diagnosis and Treatment (27 papers), Chronic Lymphocytic Leukemia Research (24 papers), Chronic Myeloid Leukemia Treatments (18 papers), Viral-associated cancers and disorders (18 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (14 papers), Blood groups and transfusion (9 papers) and Acute Lymphoblastic Leukemia research (6 papers). The work is most often cited by research in Hematology (474 citations), Genetics (347 citations), Pathology and Forensic Medicine (370 citations), Oncology (309 citations) and Immunology (172 citations). Beenu Thakral has collaborated with scholars based in United States, India and China. Frequent co-authors include Karan Saluja, Neelam Marwaha, Ratti Ram Sharma, L. Jeffrey Medeiros, Joseph D. Khoury, Sa A. Wang, Sophia Yohe, Sanam Loghavi, Guilin Tang and Robert W. McKenna. Their work appears in journals such as Blood, Human Pathology, Modern Pathology, American Journal of Clinical Pathology and Cancers.
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.