Debasmita Roy

971 total citations
24 papers, 690 citations indexed

About

Debasmita Roy is a scholar working on Oncology, Pathology and Forensic Medicine and Infectious Diseases. According to data from OpenAlex, Debasmita Roy has authored 24 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 7 papers in Pathology and Forensic Medicine and 4 papers in Infectious Diseases. Recurrent topics in Debasmita Roy's work include Viral-associated cancers and disorders (11 papers), Lymphoma Diagnosis and Treatment (7 papers) and CAR-T cell therapy research (5 papers). Debasmita Roy is often cited by papers focused on Viral-associated cancers and disorders (11 papers), Lymphoma Diagnosis and Treatment (7 papers) and CAR-T cell therapy research (5 papers). Debasmita Roy collaborates with scholars based in United States, Switzerland and India. Debasmita Roy's co-authors include Dirk P. Dittmer, Sang‐Hoon Sin, Blossom Damania, Prasanna M. Bhende, Aadra P. Bhatt, Ling Wang, Jack D. Griffith, Sezgin Özgür, Michelle R. Staudt and William J. Harrington and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.

In The Last Decade

Debasmita Roy

20 papers receiving 684 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Debasmita Roy United States 13 370 264 192 188 115 24 690
Nicholas C. Hsu Taiwan 15 236 0.6× 317 1.2× 120 0.6× 61 0.3× 49 0.4× 28 815
Anna E. Burrows United States 5 155 0.4× 649 2.5× 48 0.3× 53 0.3× 50 0.4× 5 869
Yasutoshi Tatsumi Japan 14 271 0.7× 664 2.5× 124 0.6× 30 0.2× 44 0.4× 29 893
Eliana B Gómez United States 16 109 0.3× 433 1.6× 125 0.7× 117 0.6× 21 0.2× 26 793
René Scholtysik Germany 13 136 0.4× 153 0.6× 20 0.1× 193 1.0× 36 0.3× 25 448
Kyeong Man Hong South Korea 12 171 0.5× 352 1.3× 51 0.3× 101 0.5× 16 0.1× 15 615
Kay L. Pogue-Geile United States 12 597 1.6× 232 0.9× 192 1.0× 375 2.0× 25 0.2× 17 998
Kanstantsin V. Katlinski United States 10 254 0.7× 276 1.0× 94 0.5× 17 0.1× 51 0.4× 14 723
Vasco Oliveira United States 10 182 0.5× 635 2.4× 46 0.2× 25 0.1× 37 0.3× 15 829
Barbara Pietrucha Poland 12 81 0.2× 283 1.1× 60 0.3× 36 0.2× 49 0.4× 43 556

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-authorship network of co-authors of Debasmita Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Debasmita Roy. A scholar is included among the top collaborators of Debasmita Roy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Debasmita Roy. Debasmita Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Kamdar, Manali, Sairah Ahmed, Jeremy S. Abramson, et al.. (2025). CT-305: Optimizing Post-Chimeric Antigen Receptor (CAR) T-Cell Monitoring: Evidence Across Lisocabtagene Maraleucel (liso-cel) Pivotal Clinical Trials and Real-World Experience. Clinical Lymphoma Myeloma & Leukemia. 25. S1010–S1011.
4.
Hunter, Bradley D., Matthew A. Lunning, Sairah Ahmed, et al.. (2025). CRS or ICANS Are Rare Beyond 2 Weeks After Lisocabtagene Maraleucel Infusion: Data From Clinical Trials and the Real-World Setting. Transplantation and Cellular Therapy. 32(2). 171.e1–171.e12. 1 indexed citations
5.
Winter, Allison, Alex F. Herrera, Chaitanya Iragavarapu, et al.. (2024). Real-world outcomes of lisocabtagene maraleucel (liso-cel) in patients (pt) with Richter transformation (RT) from the Center for International Blood and Marrow Transplant Research (CIBMTR).. Journal of Clinical Oncology. 42(16_suppl). 7010–7010. 3 indexed citations
7.
Roy, Debasmita, et al.. (2022). Assessment of nutritional status in relation to socio economic determinants among Sabar tribes of Jhargram district of West Bengal, India. International Journal of Community Medicine and Public Health. 9(3). 1479–1479. 1 indexed citations
8.
Roy, Debasmita. (2018). Molecular Feminisms. University of Washington Press eBooks. 1 indexed citations
9.
Roy, Debasmita, David Michaelson, Tsivia Hochman, et al.. (2015). Cell cycle features of C. elegans germline stem/progenitor cells vary temporally and spatially. Developmental Biology. 409(1). 261–271. 28 indexed citations
10.
Roy, Debasmita, Sang‐Hoon Sin, Amy Lucas, et al.. (2013). mTOR Inhibitors Block Kaposi Sarcoma Growth by Inhibiting Essential Autocrine Growth Factors and Tumor Angiogenesis. Cancer Research. 73(7). 2235–2246. 58 indexed citations
11.
Tamburro, Kristen M., Jessica Poisson, Yuri Fedoriw, et al.. (2012). Vironome of Kaposi sarcoma associated herpesvirus-inflammatory cytokine syndrome in an AIDS patient reveals co-infection of human herpesvirus 8 and human herpesvirus 6A. Virology. 433(1). 220–225. 33 indexed citations
12.
Roy, Debasmita, Sang‐Hoon Sin, Blossom Damania, & Dirk P. Dittmer. (2011). Tumor suppressor genes FHIT and WWOX are deleted in primary effusion lymphoma (PEL) cell lines. Blood. 118(7). e32–e39. 61 indexed citations
13.
Ramos, Juan Carlos, Sang‐Hoon Sin, Michelle R. Staudt, et al.. (2011). Nuclear factor kappa B pathway associated biomarkers in AIDS defining malignancies. International Journal of Cancer. 130(11). 2728–2733. 12 indexed citations
14.
Koshiol, Jill, Margaret L. Gulley, Yingdong Zhao, et al.. (2011). Epstein–Barr virus microRNAs and lung cancer. British Journal of Cancer. 105(2). 320–326. 23 indexed citations
15.
Roy, Debasmita & Dirk P. Dittmer. (2011). Phosphatase and Tensin Homolog on Chromosome 10 Is Phosphorylated in Primary Effusion Lymphoma and Kaposi's Sarcoma. American Journal Of Pathology. 179(4). 2108–2119. 20 indexed citations
16.
Krown, Susan E., Debasmita Roy, Jeannette Y. Lee, et al.. (2011). Rapamycin With Antiretroviral Therapy in AIDS-Associated Kaposi Sarcoma. JAIDS Journal of Acquired Immune Deficiency Syndromes. 59(5). 447–454. 44 indexed citations
17.
Bhatt, Aadra P., Prasanna M. Bhende, Sang‐Hoon Sin, et al.. (2010). Dual inhibition of PI3K and mTOR inhibits autocrine and paracrine proliferative loops in PI3K/Akt/mTOR-addicted lymphomas. Blood. 115(22). 4455–4463. 124 indexed citations
18.
Roy, Debasmita, et al.. (2009). Maribavir Inhibits Epstein-Barr Virus Transcription in Addition to Viral DNA Replication. Journal of Virology. 83(23). 12108–12117. 33 indexed citations
19.
Sin, Sang‐Hoon, Debasmita Roy, Ling Wang, et al.. (2006). Rapamycin is efficacious against primary effusion lymphoma (PEL) cell lines in vivo by inhibiting autocrine signaling. Blood. 109(5). 2165–2173. 144 indexed citations
20.
Özgür, Sezgin, et al.. (2006). Replication fork regression in repetitive DNAs. Nucleic Acids Research. 34(20). 6044–6050. 78 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026