Rita Sarkar
Impact in
- Hematology top 2%
- Hemophilia Treatment and Research
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
- Genetics top 2%
- Virus-based gene therapy research
Papers in
- Genetics 17
- Virus-based gene therapy research 16
- Hemoglobinopathies and Related Disorders 4
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- Viral Infectious Diseases and Gene Expression in Insects 6
- RNA Interference and Gene Delivery 3
- Co-authors
- Haig H. Kazazian (11 shared papers)Timothy C. Nichols (4 shared papers)Dwight A. Bellinger (3 shared papers)Peter Bell (1 shared paper)Lili Wang (1 shared paper)Guangping Gao (1 shared paper)James M. Wilson (1 shared paper)Randy J. Chandler (1 shared paper)
- Journals
- Blood (6 papers)Human Gene Therapy (5 papers)Molecular Therapy (5 papers)Clinical Genetics (2 papers)Gene (1 paper)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Rita Sarkar
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Hematology 402
- Genetics 687
- Oncology 307
- Genetics 87
- Molecular Biology 582
Countries citing papers authored by Rita Sarkar
This map shows the geographic impact of Rita Sarkar'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 Rita Sarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Sarkar more than expected).
Fields of papers citing papers by Rita Sarkar
This network shows the impact of papers produced by Rita Sarkar. 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 Rita Sarkar. The network helps show where Rita Sarkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Rita Sarkar, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 158 | |
| 2 | 2010 | 109 | |
| 3 | 2010 | 97 | |
| 4 | 2006 | 88 | |
| 5 | 2008 | 62 | |
| 6 | 2005 | 61 | |
| 7 | 2004 | 57 | |
| 8 | 2003 | 56 | |
| 9 | 2000 | 46 | |
| 10 | 2000 | 46 | |
| 11 | 2012 | 45 | |
| 12 | 2005 | 38 | |
| 13 | 1998 | 37 | |
| 14 | 2008 | 37 | |
| 15 | 2007 | 32 | |
| 16 | 2003 | 32 | |
| 17 | 1983 | 30 | |
| 18 | 2009 | 25 | |
| 19 | 1992 | 21 | |
| 20 | 2017 | 21 |
About Rita Sarkar
Rita Sarkar is a scholar working on Genetics, Molecular Biology, Hematology, Oncology and Genetics, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), Hemophilia Treatment and Research (9 papers), CAR-T cell therapy research (9 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Platelet Disorders and Treatments (4 papers), Hemoglobinopathies and Related Disorders (4 papers), RNA Interference and Gene Delivery (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Hematology (402 citations), Genetics (687 citations), Oncology (307 citations), Genetics (87 citations) and Molecular Biology (582 citations). Rita Sarkar has collaborated with scholars based in United States, India and China. Frequent co-authors include Haig H. Kazazian, Timothy C. Nichols, Dwight A. Bellinger, Peter Bell, Lili Wang, Guangping Gao, James M. Wilson, Randy J. Chandler, Kam W. Leong and Katherine Bowman. Their work appears in journals such as Blood, Human Gene Therapy, Molecular Therapy, Clinical Genetics and Gene.
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.