Papiya Sinha

1.4k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Papiya Sinha is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Papiya Sinha has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Papiya Sinha's work include Lymphoma Diagnosis and Treatment (3 papers), CAR-T cell therapy research (2 papers) and Immune Cell Function and Interaction (2 papers). Papiya Sinha is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), CAR-T cell therapy research (2 papers) and Immune Cell Function and Interaction (2 papers). Papiya Sinha collaborates with scholars based in United States, India and United Kingdom. Papiya Sinha's co-authors include Scott J. Rodig, Donna Neuberg, Margaret A. Shipp, Evan A. O’Donnell, Przemysław Juszczyński, Jing Ouyang, Michael R. Green, Jordan S. Orange, Ashley M. James and Hsiang‐Ting Hsu and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and Oncotarget.

In The Last Decade

Papiya Sinha

9 papers receiving 999 citations

Hit Papers

Constitutive AP-1 Activity and EBV Infection Induce PD-L1... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Papiya Sinha United States 7 634 474 465 235 129 9 1.0k
Lisa Giulino‐Roth United States 15 479 0.8× 476 1.0× 237 0.5× 411 1.7× 112 0.9× 39 1.1k
Jennifer E. Amengual United States 15 408 0.6× 450 0.9× 214 0.5× 574 2.4× 137 1.1× 87 1.1k
Ines Schwering Germany 5 352 0.6× 540 1.1× 279 0.6× 226 1.0× 150 1.2× 5 764
Frederike von Bonin Germany 16 302 0.5× 364 0.8× 251 0.5× 229 1.0× 192 1.5× 23 775
Gail Ryan Australia 13 328 0.5× 378 0.8× 192 0.4× 267 1.1× 176 1.4× 20 973
Amanda Copeland United States 15 623 1.0× 558 1.2× 166 0.4× 536 2.3× 315 2.4× 36 1.2k
Georgios Z. Rassidakis United States 17 414 0.7× 375 0.8× 234 0.5× 489 2.1× 207 1.6× 34 1.0k
Febe van Maldegem Netherlands 12 235 0.4× 201 0.4× 307 0.7× 312 1.3× 68 0.5× 20 858
Beth Christian United States 18 521 0.8× 682 1.4× 207 0.4× 132 0.6× 404 3.1× 84 979
Magdalena Klánová Czechia 12 346 0.5× 397 0.8× 130 0.3× 231 1.0× 252 2.0× 38 721

Countries citing papers authored by Papiya Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Papiya Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Papiya Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Papiya Sinha. A scholar is included among the top collaborators of Papiya Sinha 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 Papiya Sinha. Papiya Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Puissant, Alexandre, Gabriela Alexe, Christopher F. Bassil, et al.. (2015). Increased SYK activity is associated with unfavorable outcome among patients with acute myeloid leukemia. Oncotarget. 6(28). 25575–25587. 16 indexed citations
2.
Mace, Emily M., Hsiang‐Ting Hsu, Papiya Sinha, et al.. (2014). Cell biological steps and checkpoints in accessing NK cell cytotoxicity. Immunology and Cell Biology. 92(3). 245–255. 147 indexed citations
3.
Bogusz, Agata M., Richard H. G. Baxter, Treeve Currie, et al.. (2012). Quantitative Immunofluorescence Reveals the Signature of Active B-cell Receptor Signaling in Diffuse Large B-cell Lymphoma. Clinical Cancer Research. 18(22). 6122–6135. 34 indexed citations
4.
Green, Michael R., Scott J. Rodig, Przemysław Juszczyński, et al.. (2012). Constitutive AP-1 Activity and EBV Infection Induce PD-L1 in Hodgkin Lymphomas and Posttransplant Lymphoproliferative Disorders: Implications for Targeted Therapy. Clinical Cancer Research. 18(6). 1611–1618. 551 indexed citations breakdown →
5.
Shimamura, Takeshi, Samanthi A. Perera, Kevin P. Foley, et al.. (2012). Ganetespib (STA-9090), a Nongeldanamycin HSP90 Inhibitor, Has Potent Antitumor Activity in In Vitro and In Vivo Models of Non–Small Cell Lung Cancer. Clinical Cancer Research. 18(18). 4973–4985. 131 indexed citations
6.
Kluk, Michael, Bjoern Chapuy, Papiya Sinha, et al.. (2012). Immunohistochemical Detection of MYC-driven Diffuse Large B-Cell Lymphomas. PLoS ONE. 7(4). e33813–e33813. 120 indexed citations
7.
Sinha, Papiya. (2001). Doctor Of Philosophy In Zoology. 1 indexed citations
8.
Sinha, Papiya, et al.. (2000). Effect of mercurial fungicide Emisan®-6 on the embryonic developmental stages of zebrafish, Brachydanio (Danio) rerio.. Journal Of Advanced Zoology. 21(1). 12–18. 7 indexed citations
9.
Singh, Ajay, et al.. (1995). An improved method for chemical devitellinization of X-gal stained Drosophila embryos.. PubMed. 33(2). 150–2. 2 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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