Sumitra Deb

5.0k citations
75 papers · 3.4k · h-index 31

Impact in

  • Oncology top 1%
    • Cancer-related Molecular Pathways
    • Polyomavirus and related diseases
    • Cancer Research and Treatments

Papers in

    • Cancer-related Molecular Pathways 42
    • Polyomavirus and related diseases 11
    • Epigenetics and DNA Methylation 14
    • RNA modifications and cancer 13

Sumitra Deb

75 papers receiving 3.3k citations

Peers

Sumitra Deb
Comparison fields: 5 of 92
  • Oncology 2.1k
  • Biotechnology 417
  • Molecular Biology 2.0k
  • Cancer Research 391
  • Virology 119
Replace Tapan K. Bera with:
Tapan K. Bera United States
Peter Sabbatini United States
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Joe S. Mymryk Canada
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Citations per field
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Citations per year

Countries citing papers authored by Sumitra Deb

Since Specialization
Citations

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

Fields of papers citing papers by Sumitra Deb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992161
2 1986155
3 1996153
4 2013152
5 1985148
6 1986146
7 1992144
8 1986125
9 1987122
10 2011104
11 1995103
12 2004102
13 2004100
14 199396
15 198787
16
Wild-type human p53 activates the human epidermal growth factor receptor promoter.
199486
17 198779
18 199873
19 198666
20 200762

About Sumitra Deb

Sumitra Deb is a scholar working on Oncology, Molecular Biology, Biotechnology, Genetics and Epidemiology, having authored 75 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (42 papers), Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (13 papers), Virus-based gene therapy research (12 papers), Cancer Research and Treatments (12 papers), Polyomavirus and related diseases (11 papers), Herpesvirus Infections and Treatments (9 papers) and Bacteriophages and microbial interactions (9 papers). The work is most often cited by research in Oncology (2.1k citations), Biotechnology (417 citations), Molecular Biology (2.0k citations), Cancer Research (391 citations) and Virology (119 citations). Sumitra Deb has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Mark A. Subler, P Tegtmeyer, Daniel W. Martin, Swati Palit Deb, A L DeLucia, Doris Brown, Andrew Koff, Raquel Muñoz, Catherine A. Vaughan and W. Andrew Yeudall. Their work appears in journals such as Journal of Virology, Molecular and Cellular Biology, Oncogene, Sub-cellular biochemistry and International Journal of Oncology.

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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