Subrata Sinha

3.4k citations
159 papers · 2.4k · h-index 25

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • RNA Research and Splicing 10
    • RNA modifications and cancer 10
    • Hedgehog Signaling Pathway Studies 10
    • Epigenetics and DNA Methylation 10
    • Cancer-related molecular mechanisms research 14

Subrata Sinha

152 papers receiving 2.4k citations

Peers

Subrata Sinha
Comparison fields: 5 of 133
  • Cancer Research 525
  • Genetics 220
  • Hepatology 160
  • Molecular Biology 1.3k
  • Virology 75
Replace Claire Summers with:
Claire Summers United Kingdom
Ke Xu China
Qin Su China
Vasu Punj United States
Delphine Poncet France
Klaus Roemer Germany
Judith K. Christman United States
Subburaj Ilangumaran Canada
Véronique Baron France
Shanchun Guo United States
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Subrata Sinha

Since Specialization
Citations

This map shows the geographic impact of Subrata Sinha'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 Subrata Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subrata Sinha more than expected).

Fields of papers citing papers by Subrata Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subrata Sinha. 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 Subrata Sinha. The network helps show where Subrata Sinha may publish in the future.

Co-authors

The 25 scholars most cited alongside Subrata Sinha, 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 Subrata Sinha Line = papers co-authored together Subrata Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reactive oxygen species in health and disease.
2001156
2 1996127
3 2013109
4 200290
5 201970
6 201069
7 201769
8 201260
9 198859
10 202158
11 201549
12 199743
13 199541
14 198739
15 202038
16 201537
17 200935
18 200534
19 200933
20 199833

About Subrata Sinha

Subrata Sinha is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Immunology and Oncology, having authored 159 papers that have together received 2.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (26 papers), Cancer-related molecular mechanisms research (14 papers), HIV Research and Treatment (13 papers), Glioma Diagnosis and Treatment (13 papers), RNA Research and Splicing (10 papers), RNA modifications and cancer (10 papers), Hedgehog Signaling Pathway Studies (10 papers) and Epigenetics and DNA Methylation (10 papers). The work is most often cited by research in Cancer Research (525 citations), Genetics (220 citations), Hepatology (160 citations), Molecular Biology (1.3k citations) and Virology (75 citations). Subrata Sinha has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Parthaprasad Chattopadhyay, Chitra Sarkar, Kunzang Chosdol, Karuna Datta, Tapasya Srivastava, Ashok Kumar Mahapatra, Rajesh Kumar, Kalpana Luthra, Jayanth Kumar Palanichamy and Khushboo Irshad. Their work appears in journals such as Journal of Neuro-Oncology, International Journal of Cancer, BMC Cancer, BMC Infectious Diseases and PLoS ONE.

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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