Debasmita Roy

933 citations
25 papers · 721 · h-index 12

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Oncology top 10%
    • Viral-associated cancers and disorders

Papers in

Debasmita Roy

19 papers receiving 709 citations

Peers

Debasmita Roy
Comparison fields: 5 of 66
  • Aging 53
  • Oncology 379
  • Pathology and Forensic Medicine 175
  • Epidemiology 179
  • Physiology 116
Replace Nicholas C. Hsu with:
Nicholas C. Hsu Taiwan
Qingdong Deng United States
Kay L. Pogue-Geile United States
Emmanuel Derudder United States
René Scholtysik Germany
Massimo Statuto Italy
Sara J. Dawson United Kingdom
Noriko Shikama Switzerland
Alexandra M Pietersen Netherlands
Maija Lepistö Finland
Debasmita Roy relative to Nicholas C. Hsu Taiwan Nicholas C. Hsu's profile →
Citations per field
00.5×4.6×
Nicholas C. Hsu · 1×
Citations per year

Countries citing papers authored by Debasmita Roy

Since Specialization
Citations

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

Fields of papers citing papers by Debasmita Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 2010130
3 200678
4 201164
5 201360
6 201153
7 200936
8 201234
9 201530
10 201123
11 201821
12 201121
13 201111
14 20243
15 20243
16 20202
17 20221
18 20251
19 20201
20 20250

About Debasmita Roy

Debasmita Roy is a scholar working on Oncology, Pathology and Forensic Medicine, Genetics, Epidemiology and Physiology, having authored 25 papers that have together received 721 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (11 papers), Lymphoma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Parvovirus B19 Infection Studies (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Aging (53 citations), Oncology (379 citations), Pathology and Forensic Medicine (175 citations), Epidemiology (179 citations) and Physiology (116 citations). Debasmita Roy has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Dirk P. Dittmer, Sang‐Hoon Sin, Blossom Damania, Prasanna M. Bhende, Aadra P. Bhatt, Ling Wang, Sezgin Özgür, Jack D. Griffith, Michelle R. Staudt and Farnaz D. Fakhari. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Journal of Virology, G3 Genes Genomes Genetics and Developmental Biology.

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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