Debodipta Das

626 total citations
11 papers, 153 citations indexed

About

Debodipta Das is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Debodipta Das has authored 11 papers receiving a total of 153 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Debodipta Das's work include RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (3 papers) and Epigenetics and DNA Methylation (2 papers). Debodipta Das is often cited by papers focused on RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (3 papers) and Epigenetics and DNA Methylation (2 papers). Debodipta Das collaborates with scholars based in United States and India. Debodipta Das's co-authors include Andrew D. Smith, Michael Q. Zhang, Pavel Sumazin, Partha P. Majumder, Arindam Maitra, Bidyut Roy, Chinmay K. Panda, Rajiv Sarin, Nidhan K. Biswas and Debaditya Chakraborty and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Expert Systems with Applications.

In The Last Decade

Debodipta Das

10 papers receiving 150 citations

Peers

Debodipta Das

MB

CR

PRM

GENET

ONCOL

Congling Xu China

Stacey Price United Kingdom

Wanxiangfu Tang China

Mihoko Saito-Adachi Japan

Joseph F. Boland United States

Jongsuk Chung South Korea

Mehrnoush Khojasteh Canada

Sitanshu Gakkhar Canada

Qichao Yu China

Linda J. van Weele Netherlands

Congling Xu China

Debodipta Das

245 ×2.1

MB

39 ×1.4

CR

16 ×0.8

PRM

26 ×1.6

GENET

18 ×1.2

ONCOL

Citations per year, relative to Debodipta Das Debodipta Das (= 1×) peers Congling Xu

Countries citing papers authored by Debodipta Das

Since Specialization

Citations

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

Fields of papers citing papers by Debodipta Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debodipta Das

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

All Works

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11 of 11 papers shown

1.

Chakraborty, Debaditya, et al.. (2024). Discovering novel prognostic biomarkers of hepatocellular carcinoma using eXplainable Artificial Intelligence. Expert Systems with Applications. 252(Pt B). 124239–124239. 6 indexed citations

2.

Das, Debodipta, Xiaojing Wang, Yu‐Chiao Chiu, et al.. (2024). Integrative multi-omics characterization of hepatocellular carcinoma in Hispanic patients. JNCI Journal of the National Cancer Institute. 116(12). 1961–1978. 2 indexed citations

3.

Das, Debodipta, Xiaojing Wang, Yu‐Chiao Chiu, et al.. (2023). Abstract 3175: Comprehensive multi-omic characterization of hepatocellular carcinoma in Hispanic patients. Cancer Research. 83(7_Supplement). 3175–3175. 1 indexed citations

4.

Bouamar, Hakim, et al.. (2022). Abstract 1046: Combination of CDK 4/6 inhibitor Palbociclib with Rapamycin synergistically inhibits the growth of hepatocellular carcinoma cells. Cancer Research. 82(12_Supplement). 1046–1046. 1 indexed citations

5.

Das, Debodipta, Arindam Maitra, Chinmay K. Panda, et al.. (2021). Genes and pathways monotonically dysregulated during progression from normal through leukoplakia to gingivo-buccal oral cancer. npj Genomic Medicine. 6(1). 32–32. 20 indexed citations

6.

Deng, Janice, Tai Qin, Yuqian Yan, et al.. (2021). GLI3 Is Stabilized by SPOP Mutations and Promotes Castration Resistance via Functional Cooperation with Androgen Receptor in Prostate Cancer. Molecular Cancer Research. 20(1). 62–76. 17 indexed citations

7.

Das, Debodipta, Pattatheyil Arun, Bidyut Roy, et al.. (2020). Application of Random Forest and data integration identifies three dysregulated genes and enrichment of Central Carbon Metabolism pathway in Oral Cancer. BMC Cancer. 20(1). 1219–1219. 5 indexed citations

8.

Das, Debodipta, Arindam Maitra, Nidhan K. Biswas, et al.. (2019). Epigenomic dysregulation-mediated alterations of key biological pathways and tumor immune evasion are hallmarks of gingivo-buccal oral cancer. Clinical Epigenetics. 11(1). 178–178. 31 indexed citations

9.

Das, Debodipta, Inderjeet Kaur, Mohammad Javed Ali, et al.. (2014). Exome Sequencing Reveals the Likely Involvement of SOX10 in Uveal Melanoma. Optometry and Vision Science. 91(7). e185–e192. 3 indexed citations

10.

Das, Debodipta. (2012). Immunogenicity of Biopharmaceuticals. IOSR Journal of Pharmacy (IOSRPHR). 2(3). 345–363.

11.

Smith, Andrew D., Pavel Sumazin, Debodipta Das, & Michael Q. Zhang. (2005). Mining ChIP-chip data for transcription factor and cofactor binding sites. Computer applications in the biosciences. 21(Suppl 1). i403–i412. 67 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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