Subrata Sinha

3.4k total citations
159 papers, 2.4k citations indexed

About

Subrata Sinha is a scholar working on Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Subrata Sinha has authored 159 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 35 papers in Cancer Research and 26 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Subrata Sinha's work include Monoclonal and Polyclonal Antibodies Research (26 papers), Cancer-related molecular mechanisms research (14 papers) and Glioma Diagnosis and Treatment (13 papers). Subrata Sinha is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (26 papers), Cancer-related molecular mechanisms research (14 papers) and Glioma Diagnosis and Treatment (13 papers). Subrata Sinha collaborates with scholars based in India, United States and United Kingdom. Subrata Sinha's co-authors include Parthaprasad Chattopadhyay, Chitra Sarkar, Kunzang Chosdol, Karuna Datta, Tapasya Srivastava, Ashok Kumar Mahapatra, Kalpana Luthra, Rajesh Kumar, Jayanth Kumar Palanichamy and Khushboo Irshad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Subrata Sinha

152 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subrata Sinha India 25 1.3k 525 337 308 294 159 2.4k
Pawan Gupta India 33 1.3k 1.0× 229 0.4× 335 1.0× 219 0.7× 409 1.4× 147 3.0k
Qin Su China 24 1.2k 0.9× 251 0.5× 196 0.6× 133 0.4× 163 0.6× 87 2.4k
Vasu Punj United States 35 1.9k 1.4× 659 1.3× 786 2.3× 135 0.4× 393 1.3× 79 3.4k
Hisafumi Yamada‐Okabe Japan 36 2.2k 1.6× 578 1.1× 583 1.7× 206 0.7× 476 1.6× 78 3.7k
Hong Yu China 25 1.1k 0.8× 382 0.7× 462 1.4× 165 0.5× 416 1.4× 115 2.3k
Giovanni Cassani Italy 24 1.7k 1.3× 1.3k 2.4× 613 1.8× 439 1.4× 327 1.1× 91 3.5k
Amos Baruch United States 30 2.2k 1.6× 573 1.1× 649 1.9× 485 1.6× 597 2.0× 60 3.8k
Kip A. West United States 22 3.4k 2.6× 448 0.9× 1.1k 3.2× 221 0.7× 385 1.3× 30 4.9k
Ganesh M. Sathe United States 28 1.9k 1.4× 213 0.4× 521 1.5× 286 0.9× 614 2.1× 56 3.3k
Jan‐Jong Hung Taiwan 30 1.9k 1.4× 587 1.1× 590 1.8× 77 0.3× 253 0.9× 71 2.8k

Countries citing papers authored by Subrata Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Sinha. A scholar is included among the top collaborators of Subrata 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 Subrata Sinha. Subrata Sinha 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
1.
Sinha, Subrata, et al.. (2025). Immune factors and their role in tumor aggressiveness in glioblastoma: Atypical cadherin FAT1 as a promising target for combating immune evasion. Cellular & Molecular Biology Letters. 30(1). 89–89. 1 indexed citations
2.
Luthra, Kalpana, Vaishali Suri, Ashish Suri, et al.. (2024). STAT1 mediated downregulation of the tumor suppressor gene PDCD4, is driven by the atypical cadherin FAT1, in glioblastoma. Cellular Signalling. 119. 111178–111178. 1 indexed citations
3.
Singh, Archna, Jayanth Kumar Palanichamy, Subrata Sinha, et al.. (2024). Glial cholesterol redistribution in hypoxic injury in vitro influences oligodendrocyte maturation and myelination. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(8). 167476–167476. 3 indexed citations
4.
Seth, Pankaj, et al.. (2024). LncRNA BASP1-AS1 is a positive regulator of stemness and pluripotency in human SH-SY5Y neuroblastoma cells. Biochemical and Biophysical Research Communications. 733. 150691–150691. 1 indexed citations
5.
Dutta, Sanghamitra, et al.. (2024). Development of a Robust CNN Model for Mango Leaf Disease Detection and Classification: A Precision Agriculture Approach. ACS Agricultural Science & Technology. 4(8). 806–817. 6 indexed citations
6.
Irshad, Khushboo, S. Goswami, Chitra Sarkar, et al.. (2023). Protumorigenic role of the atypical cadherin FAT1 by the suppression of PDCD10 via RelA/miR221‐3p/222‐3p axis in glioblastoma. Molecular Carcinogenesis. 62(12). 1817–1831. 3 indexed citations
7.
Parray, Hilal Ahmad, Shailendra Asthana, Naveen Yadav, et al.. (2020). Identification of an anti–SARS–CoV-2 receptor-binding domain–directed human monoclonal antibody from a naïve semisynthetic library. Journal of Biological Chemistry. 295(36). 12814–12821. 38 indexed citations
8.
Sinha, Subrata, et al.. (2017). A Review on GPU Accelerated Bioinformatics Tool. 3(1). 5–20. 2 indexed citations
9.
Sinha, Subrata. (2015). Role of Bioinformatics in Climate Change Studies. 1(1). 1–9. 3 indexed citations
10.
Irshad, Khushboo, Saroj Kant Mohapatra, Harshit Garg, et al.. (2015). A Combined Gene Signature of Hypoxia and Notch Pathway in Human Glioblastoma and Its Prognostic Relevance. PLoS ONE. 10(3). e0118201–e0118201. 49 indexed citations
11.
Shahi, Mehdi Hayat, Idoya Zazpe, Mohammad Afzal, et al.. (2014). Epigenetic regulation of human hedgehog interacting protein in glioma cell lines and primary tumor samples. Tumor Biology. 36(4). 2383–2391. 12 indexed citations
12.
Mishra, Seema & Subrata Sinha. (2014). Immunoinformatics, Molecular Modeling, and Cancer Vaccines. Methods in molecular biology. 1184. 513–521. 2 indexed citations
13.
Sinha, Subrata, et al.. (2012). Inception of Medi Java: An Open Source Library for Medical Science. 6(2). 19.
14.
Palanichamy, Jayanth Kumar, Mohit Mehndiratta, Pradeep Ramalingam, et al.. (2010). Silencing of Integrated Human Papillomavirus-16 Oncogenes by Small Interfering RNA–Mediated Heterochromatization. Molecular Cancer Therapeutics. 9(7). 2114–2122. 16 indexed citations
15.
Shahi, Mehdi Hayat, Subrata Sinha, Mohammad Afzal, & Javier S. Castresana. (2009). Role of Sonic hedgehog signaling pathway in neuroblastoma development. 1(4). 0–0. 4 indexed citations
16.
Ahmad, Yusra, Manjeet Singh Bhatia, Pramod Kumari Mediratta, et al.. (2009). Association between the ionotropic glutamate receptor kainate3 (GRIK3) Ser310Ala polymorphism and schizophrenia in the Indian population. The World Journal of Biological Psychiatry. 10(4). 330–333. 13 indexed citations
17.
Goswami, Pooja, Deepti Saini, & Subrata Sinha. (2009). Phage Displayed scFv: pIII Scaffold May Fine Tune Binding Specificity. Hybridoma. 28(5). 327–331. 4 indexed citations
19.
Kamarajan, Pachiyappan, et al.. (1999). Simultaneous alterations of retinoblastoma and p53 protein expression in astrocytic tumors. Pathology & Oncology Research. 5(1). 21–27. 9 indexed citations
20.
Krawczynski, Krzysztof, M J Alter, Donald L. Tankersley, et al.. (1996). Effect of Immune Globulin on the Prevention of Experimental Hepatitis C Virus Infection. The Journal of Infectious Diseases. 173(4). 822–828. 127 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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