Subhasis Das

1.1k total citations
29 papers, 843 citations indexed

About

Subhasis Das is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Subhasis Das has authored 29 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Pharmacology. Recurrent topics in Subhasis Das's work include Cancer Mechanisms and Therapy (5 papers), Melanoma and MAPK Pathways (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Subhasis Das is often cited by papers focused on Cancer Mechanisms and Therapy (5 papers), Melanoma and MAPK Pathways (5 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). Subhasis Das collaborates with scholars based in United States, India and Brazil. Subhasis Das's co-authors include Mahitosh Mandal, Kaushik Dey, Basabi Rana, Ajay Rana, B. N. Prashanth Kumar, Goutam Dey, Navin Viswakarma, Gautam Sondarva, Sujata Maiti Choudhury and Shashi Rajput and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Subhasis Das

28 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subhasis Das United States 17 498 153 147 133 94 29 843
Fu-Shin Chueh Taiwan 22 576 1.2× 105 0.7× 83 0.6× 80 0.6× 62 0.7× 27 914
Chunliu Mi China 22 689 1.4× 157 1.0× 69 0.5× 148 1.1× 65 0.7× 41 1.1k
Tianqi Ming China 11 595 1.2× 186 1.2× 102 0.7× 49 0.4× 66 0.7× 16 1.1k
An-Cheng Huang Taiwan 17 557 1.1× 131 0.9× 75 0.5× 70 0.5× 67 0.7× 20 901
Lynda L. Song United States 16 603 1.2× 141 0.9× 47 0.3× 124 0.9× 70 0.7× 19 1.1k
Zhengquan Lai China 17 581 1.2× 69 0.5× 103 0.7× 63 0.5× 29 0.3× 34 931
Chong Ock Lee South Korea 21 773 1.6× 303 2.0× 57 0.4× 60 0.5× 66 0.7× 53 1.3k
Yanlin Ming China 18 545 1.1× 130 0.8× 47 0.3× 74 0.6× 35 0.4× 33 1.0k

Countries citing papers authored by Subhasis Das

Since Specialization
Citations

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

Fields of papers citing papers by Subhasis Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subhasis Das

This figure shows the co-authorship network connecting the top 25 collaborators of Subhasis Das. A scholar is included among the top collaborators of Subhasis Das 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 Subhasis Das. Subhasis Das 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.
Yadav, Rahul, Subhasis Das, Madhumita Mukherjee, & Saptarshi Mukherjee. (2025). Probing the nucleobase-specific binding interaction of hydroxychloroquine sulfate with RNA and subsequent sequestration by a water-soluble molecular basket. Physical Chemistry Chemical Physics. 27(14). 7365–7374. 2 indexed citations
2.
Manna, Sounik, et al.. (2025). Baicalein modulates colorectal tumor microenvironment to suppress growth, metastasis, and immune escape. Molecular Biology Reports. 53(1). 59–59.
3.
4.
Das, Subhasis, et al.. (2024). A Virtual Drug Discovery Screening Illuminates Campesterol as a Potent Estrogen Receptor Alpha Inhibitor in Breast Cancer. Journal of Medicinal Chemistry. 67(12). 10321–10335. 5 indexed citations
5.
Nair, Rakesh Sathish, Sandeep Kumar, Subhasis Das, et al.. (2023). TrkA expression directs the anti-neoplastic activity of MLK3 inhibitors in triple-negative breast cancer. Oncogene. 42(14). 1132–1143. 14 indexed citations
6.
Vishnoi, Kanchan, Rong Ke, Navin Viswakarma, et al.. (2022). Ets1 mediates sorafenib resistance by regulating mitochondrial ROS pathway in hepatocellular carcinoma. Cell Death and Disease. 13(7). 581–581. 24 indexed citations
7.
Viswakarma, Navin, Gautam Sondarva, Daniel R. Principe, et al.. (2021). Mixed Lineage Kinase 3 phosphorylates prolyl-isomerase PIN1 and potentiates GLI1 signaling in pancreatic cancer development. Cancer Letters. 515. 1–13. 17 indexed citations
8.
Vishnoi, Kanchan, Rong Ke, Navin Viswakarma, et al.. (2020). Berberine Represses β-Catenin Translation Involving 4E-BPs in Hepatocellular Carcinoma Cells. Molecular Pharmacology. 99(1). 1–16. 21 indexed citations
9.
Das, Subhasis, Rakesh Sathish Nair, Rajakishore Mishra, et al.. (2019). Mixed lineage kinase 3 promotes breast tumorigenesis via phosphorylation and activation of p21-activated kinase 1. Oncogene. 38(19). 3569–3584. 19 indexed citations
10.
Das, Subhasis, Rakesh Sathish Nair, Rajakishore Mishra, et al.. (2019). Correction: Mixed lineage kinase 3 promotes breast tumorigenesis via phosphorylation and activation of p21-activated kinase 1. Oncogene. 39(3). 722–722. 14 indexed citations
11.
Ke, Rong, Kanchan Vishnoi, Navin Viswakarma, et al.. (2018). Involvement of AMP-activated protein kinase and Death Receptor 5 in TRAIL-Berberine-induced apoptosis of cancer cells. Scientific Reports. 8(1). 5521–5521. 25 indexed citations
12.
Dey, Goutam, Rashmi Bharti, Gunaseelan Dhanarajan, et al.. (2015). Marine lipopeptide Iturin A inhibits Akt mediated GSK3β and FoxO3a signaling and triggers apoptosis in breast cancer. Scientific Reports. 5(1). 10316–10316. 97 indexed citations
13.
Santha, Sreevidya, Navin Viswakarma, Subhasis Das, Ajay Rana, & Basabi Rana. (2015). Tumor Necrosis Factor-related Apoptosis-inducing Ligand (TRAIL)-Troglitazone-induced Apoptosis in Prostate Cancer Cells Involve AMP-activated Protein Kinase. Journal of Biological Chemistry. 290(36). 21865–21875. 16 indexed citations
14.
Das, Subhasis, Gautam Sondarva, Navin Viswakarma, et al.. (2015). Human Epidermal Growth Factor Receptor 2 (HER2) Impedes MLK3 Kinase Activity to Support Breast Cancer Cell Survival. Journal of Biological Chemistry. 290(35). 21705–21712. 21 indexed citations
15.
Rajput, Shashi, B. N. Prashanth Kumar, Siddik Sarkar, et al.. (2013). Targeted Apoptotic Effects of Thymoquinone and Tamoxifen on XIAP Mediated Akt Regulation in Breast Cancer. PLoS ONE. 8(4). e61342–e61342. 104 indexed citations
16.
Rana, Ajay, Basabi Rana, Rajakishore Mishra, et al.. (2013). Mixed Lineage Kinase-c-Jun N-Terminal Kinase Axis: A Potential Therapeutic Target in Cancer. Genes & Cancer. 4(9-10). 334–341. 29 indexed citations
17.
Das, Subhasis, Kaushik Dey, Goutam Dey, et al.. (2012). Antineoplastic and Apoptotic Potential of Traditional Medicines Thymoquinone and Diosgenin in Squamous Cell Carcinoma. PLoS ONE. 7(10). e46641–e46641. 134 indexed citations
18.
Das, Subhasis, Kaushik Dey, Rashmi Bharti, et al.. (2012). PKI 166 induced redox signalling and apoptosis through activation of p53, MAP kinase and caspase pathway in epidermoid carcinoma.. PubMed. 10(2). 139–53. 7 indexed citations
19.
Mandal, Santi M., Ludovico Migliolo, Subhasis Das, et al.. (2011). Identification and characterization of a bactericidal and proapoptotic peptide from cycas revoluta seeds with DNA binding properties. Journal of Cellular Biochemistry. 113(1). 184–193. 48 indexed citations
20.
Sarkar, Siddik, et al.. (2010). Biomarkers for the diagnosis of thyroid cancer.. PubMed. 8(4). 341–52. 27 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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