Rita Sarkar

1.5k citations
31 papers · 1.1k · h-index 20

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

    • Virus-based gene therapy research 16
    • Hemoglobinopathies and Related Disorders 4
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • RNA Interference and Gene Delivery 3

Rita Sarkar

30 papers receiving 1.1k citations

Peers

Rita Sarkar
Comparison fields: 5 of 70
  • Hematology 402
  • Genetics 687
  • Oncology 307
  • Genetics 87
  • Molecular Biology 582
Replace Maureen Ward with:
Maureen Ward United States
K M Gaensler United States
Emmanuel Payen France
K. Springer United States
Ou Cao United States
Hongjie Wang United States
Gilda F. Linton United States
Bernd Schiedlmeier Germany
Nadia Nobili Italy
Julie Tubb United States
Rita Sarkar relative to Maureen Ward United States Maureen Ward's profile →
Citations per field
00.5×7.3×
Maureen Ward · 1×
Citations per year

Countries citing papers authored by Rita Sarkar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Rita Sarkar Line = papers co-authored together Rita Sarkar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003158
2 2010109
3 201097
4 200688
5 200862
6 200561
7 200457
8 200356
9 200046
10 200046
11 201245
12 200538
13 199837
14 200837
15 200732
16 200332
17 198330
18 200925
19 199221
20 201721

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.

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