Moanaro Biswas

1.6k total citations
52 papers, 1.3k citations indexed

About

Moanaro Biswas is a scholar working on Genetics, Immunology and Oncology. According to data from OpenAlex, Moanaro Biswas has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 19 papers in Immunology and 18 papers in Oncology. Recurrent topics in Moanaro Biswas's work include Virus-based gene therapy research (21 papers), CAR-T cell therapy research (18 papers) and Immune Cell Function and Interaction (10 papers). Moanaro Biswas is often cited by papers focused on Virus-based gene therapy research (21 papers), CAR-T cell therapy research (18 papers) and Immune Cell Function and Interaction (10 papers). Moanaro Biswas collaborates with scholars based in United States, India and Canada. Moanaro Biswas's co-authors include Roland W. Herzog, Sandeep Kumar, David M. Markusic, Jyoti Rana, Alexandra Sherman, Katherine A. High, Cox Terhorst, Cox Terhorst, Subbiah Elankumaran and George Q. Perrin and has published in prestigious journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

In The Last Decade

Moanaro Biswas

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moanaro Biswas United States 23 550 539 351 300 185 52 1.3k
Tim Beißert Germany 17 290 0.5× 1.1k 2.0× 180 0.5× 349 1.2× 85 0.5× 26 1.5k
Geoff Symonds Australia 25 648 1.2× 1.5k 2.8× 389 1.1× 409 1.4× 144 0.8× 98 2.2k
Tatjana I. Cornu Germany 23 667 1.2× 1.1k 2.0× 247 0.7× 222 0.7× 355 1.9× 34 1.8k
Román Galetto United States 19 478 0.9× 971 1.8× 663 1.9× 210 0.7× 192 1.0× 51 1.6k
Denise R. Shaw United States 21 392 0.7× 858 1.6× 298 0.8× 493 1.6× 108 0.6× 34 1.4k
Alagarsamy Srinivasan United States 19 202 0.4× 766 1.4× 256 0.7× 312 1.0× 207 1.1× 55 1.6k
Philippe Mangeot France 20 501 0.9× 1.3k 2.5× 171 0.5× 415 1.4× 579 3.1× 52 2.1k
Rebecca S. LaRue United States 18 241 0.4× 711 1.3× 242 0.7× 529 1.8× 517 2.8× 30 1.7k
Jack A. Ragheb United States 21 313 0.6× 640 1.2× 139 0.4× 573 1.9× 147 0.8× 32 1.5k
Kyosuke Nagata Japan 26 1.2k 2.2× 2.1k 3.8× 272 0.8× 269 0.9× 313 1.7× 37 2.6k

Countries citing papers authored by Moanaro Biswas

Since Specialization
Citations

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

Fields of papers citing papers by Moanaro Biswas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moanaro Biswas

This figure shows the co-authorship network connecting the top 25 collaborators of Moanaro Biswas. A scholar is included among the top collaborators of Moanaro Biswas 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 Moanaro Biswas. Moanaro Biswas 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
2.
Doglio, Matteo, Tatiana Jofra, Sandeep Kumar, et al.. (2025). CXCR5 engineered human and murine Tregs for targeted suppression in secondary and tertiary lymphoid organs. Frontiers in Immunology. 16. 1513009–1513009. 1 indexed citations
3.
Biswas, Moanaro, et al.. (2024). Role of FoxP3 + Regulatory T Cells in Modulating Immune Responses to Adeno-Associated Virus Gene Therapy. Human Gene Therapy. 35(13-14). 439–450. 8 indexed citations
4.
Mulcrone, Patrick L., Dylan Frabutt, Junping Zhang, et al.. (2023). Comprehensive Comparison of AAV Purification Methods: Iodixanol Gradient Centrifugation vs. Immuno-Affinity Chromatography. PubMed. 2023. 1–12. 10 indexed citations
5.
Bertolini, Thaís B., Roland W. Herzog, Sandeep Kumar, et al.. (2023). Suppression of anti-drug antibody formation against coagulation factor VIII by oral delivery of anti-CD3 monoclonal antibody in hemophilia A mice. Cellular Immunology. 385. 104675–104675. 4 indexed citations
6.
Kumar, Sandeep, Moanaro Biswas, Sreevani Arisa, et al.. (2023). TLR9-independent CD8+ T cell responses in hepatic AAV gene transfer through IL-1R1-MyD88 signaling. Molecular Therapy. 32(2). 325–339. 18 indexed citations
7.
Bertolini, Thaís B., Moanaro Biswas, Cox Terhorst, et al.. (2020). Role of orally induced regulatory T cells in immunotherapy and tolerance. Cellular Immunology. 359. 104251–104251. 57 indexed citations
8.
Rana, Jyoti & Moanaro Biswas. (2020). Regulatory T cell therapy: Current and future design perspectives. Cellular Immunology. 356. 104193–104193. 47 indexed citations
9.
Biswas, Moanaro, Sandeep Kumar, Cox Terhorst, & Roland W. Herzog. (2018). Gene Therapy With Regulatory T Cells: A Beneficial Alliance. Frontiers in Immunology. 9. 554–554. 31 indexed citations
10.
Rogers, Geoffrey L., Jamie L. Shirley, Irene Zolotukhin, et al.. (2017). Plasmacytoid and conventional dendritic cells cooperate in crosspriming AAV capsid-specific CD8+ T cells. Blood. 129(24). 3184–3195. 96 indexed citations
11.
Herzog, Roland W., Mario Cooper, George Q. Perrin, et al.. (2017). Regulatory T cells and TLR9 activation shape antibody formation to a secreted transgene product in AAV muscle gene transfer. Cellular Immunology. 342. 103682–103682. 33 indexed citations
12.
Sherman, Alexandra, Moanaro Biswas, & Roland W. Herzog. (2017). Innovative Approaches for Immune Tolerance to Factor VIII in the Treatment of Hemophilia A. Frontiers in Immunology. 8. 1604–1604. 25 indexed citations
13.
Kumar, Sandeep, David M. Markusic, Moanaro Biswas, Katherine A. High, & Roland W. Herzog. (2016). Clinical development of gene therapy: results and lessons from recent successes. Molecular Therapy — Methods & Clinical Development. 3. 16034–16034. 173 indexed citations
14.
Perrin, George Q., Irene Zolotukhin, Alexandra Sherman, et al.. (2016). Dynamics of antigen presentation to transgene product-specific CD4+ T cells and of Treg induction upon hepatic AAV gene transfer. Molecular Therapy — Methods & Clinical Development. 3. 16083–16083. 35 indexed citations
15.
Biswas, Moanaro, Debalina Sarkar, Sandeep Kumar, et al.. (2015). Synergy between rapamycin and FLT3 ligand enhances plasmacytoid dendritic cell–dependent induction of CD4+CD25+FoxP3+ Treg. Blood. 125(19). 2937–2947. 58 indexed citations
16.
Sarkar, Debalina, Moanaro Biswas, Gongxian Liao, et al.. (2014). Ex vivo expanded autologous polyclonal regulatory T cells suppress inhibitor formation in hemophilia. Molecular Therapy — Methods & Clinical Development. 1. 14030–14030. 58 indexed citations
17.
Kumar, Sandeep, Moanaro Biswas, & Subbiah Elankumaran. (2014). Pandemic H1N1 Influenza A Virus Induces A Potent Innate Immune Response In Human Chorionic Cells. Viral Immunology. 27(3). 129–137. 2 indexed citations
18.
Biswas, Moanaro, et al.. (2012). Cell-Type-Specific Innate Immune Response to Oncolytic Newcastle Disease Virus. Viral Immunology. 25(4). 268–276. 20 indexed citations
19.
Biswas, Moanaro, et al.. (2011). Molecular Cloning and Tissue-Specific Expression of Toll-Like Receptor 5 Gene from Turkeys. Avian Diseases. 55(3). 480–485. 5 indexed citations
20.
Dewasthaly, Shailesh, et al.. (2007). Chimeric T Helper-B Cell Peptides Induce Protective Response Against Japanese Encephalitis Virus in Mice. Protein and Peptide Letters. 14(6). 543–551. 8 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.

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