Subrata Sinha

3.4k citations
163 papers · 2.5k · h-index 26

Impact in

Papers in

    • RNA modifications and cancer 10
    • Hedgehog Signaling Pathway Studies 10
    • Cancer-related molecular mechanisms research 11
    • Cancer, Hypoxia, and Metabolism 10

Subrata Sinha

154 papers receiving 2.4k citations

Peers

Subrata Sinha
Comparison fields: 5 of 131
  • Cancer Research 463
  • Hepatology 148
  • Genetics 186
  • Molecular Biology 1.2k
  • Virology 67
Replace Qin Su with:
Qin Su China
Hisafumi Yamada‐Okabe Japan
Xin Hu United States
Mark G. Anderson United States
Claire Summers United Kingdom
Astrid Gruber Sweden
Véronique Baron France
Judith K. Christman United States
Hsiang‐Fu Kung Hong Kong
Pawan Gupta India
Subrata Sinha relative to Qin Su China Qin Su's profile →
Citations per field
00.5×4.2×
Qin Su · 1×
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 163 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 201973
6 201772
7 201069
8 202162
9 201262
10 198859
11 201549
12 199743
13 199541
14 202040
15 198739
16 201537
17 200936
18 200534
19 201633
20 200933

About Subrata Sinha

Subrata Sinha is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Oncology and Immunology, having authored 163 papers that have together received 2.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Cancer-related molecular mechanisms research (11 papers), HIV Research and Treatment (11 papers), Glioma Diagnosis and Treatment (11 papers), Cancer-related Molecular Pathways (10 papers), RNA modifications and cancer (10 papers), Cancer, Hypoxia, and Metabolism (10 papers) and Hedgehog Signaling Pathway Studies (10 papers). The work is most often cited by research in Cancer Research (463 citations), Hepatology (148 citations), Genetics (186 citations), Molecular Biology (1.2k citations) and Virology (67 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, Ashok Kumar Mahapatra, Tapasya Srivastava, Rajesh Kumar, Kalpana Luthra, Jayanth Kumar Palanichamy and Khushboo Irshad. Their work appears in journals such as Journal of Neuro-Oncology, BMC Cancer, International Journal of Cancer, PLoS ONE and BMC Infectious Diseases.

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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