Debasmita Roy

971 citations
24 papers · 690 · h-index 13

Impact in

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

Papers in

Debasmita Roy

20 papers receiving 684 citations

Peers

Debasmita Roy
Comparison fields: 5 of 68
  • Aging 53
  • Oncology 370
  • Pathology and Forensic Medicine 188
  • Epidemiology 192
  • Immunology 96
Replace Nicholas C. Hsu with:
Nicholas C. Hsu Taiwan
Anna E. Burrows United States
Kay L. Pogue-Geile United States
Sara J. Dawson United Kingdom
Kyeong Man Hong South Korea
René Scholtysik Germany
Naoto Yoshizuka Japan
Alexandra M Pietersen Netherlands
Yasutoshi Tatsumi Japan
Luc‐Marie Gerland France
Debasmita Roy relative to Nicholas C. Hsu Taiwan Nicholas C. Hsu's profile →
Citations per field
00.5×3.8×
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006144
2 2010124
3 200678
4 201161
5 201358
6 201144
7 201233
8 200933
9 201528
10 201123
11 201821
12 201120
13 201112
14 20243
15 20242
16 20202
17 20251
18 20181
19 20221
20 20251

About Debasmita Roy

Debasmita Roy is a scholar working on Oncology, Pathology and Forensic Medicine, Infectious Diseases, Molecular Biology and Genetics, having authored 24 papers that have together received 690 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (11 papers), Lymphoma Diagnosis and Treatment (7 papers), CAR-T cell therapy research (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), CRISPR and Genetic Engineering (2 papers), Circadian rhythm and melatonin (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (53 citations), Oncology (370 citations), Pathology and Forensic Medicine (188 citations), Epidemiology (192 citations) and Immunology (96 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, Aadra P. Bhatt, Prasanna M. Bhende, Jack D. Griffith, Ling Wang, Sezgin Özgür, Michelle R. Staudt and Farnaz D. Fakhari. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, British Journal of Cancer, JAIDS Journal of Acquired Immune Deficiency Syndromes and G3 Genes Genomes Genetics.

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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