Sanjib Das

1.4k total citations
46 papers, 903 citations indexed

About

Sanjib Das is a scholar working on Molecular Biology, Cancer Research and Management Science and Operations Research. According to data from OpenAlex, Sanjib Das has authored 46 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 10 papers in Management Science and Operations Research. Recurrent topics in Sanjib Das's work include Data Quality and Management (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Web Data Mining and Analysis (6 papers). Sanjib Das is often cited by papers focused on Data Quality and Management (10 papers), Protease and Inhibitor Mechanisms (9 papers) and Web Data Mining and Analysis (6 papers). Sanjib Das collaborates with scholars based in India, United States and Norway. Sanjib Das's co-authors include AnHai Doan, Tarun Jha, Sk. Abdul Amin, Jeffrey F. Naughton, Jude Shavlik, Xiaojin Zhu, Ganesh Krishnan, Chaitanya S. Gokhale, Adel Ardalan and Pradap Konda and has published in prestigious journals such as Scientific Reports, Biochemical Pharmacology and Phytochemistry.

In The Last Decade

Sanjib Das

44 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjib Das India 13 460 407 175 171 92 46 903
Hongsong Li China 12 661 1.4× 115 0.3× 177 1.0× 179 1.0× 77 0.8× 49 993
Thorsten Meinl Germany 11 190 0.4× 26 0.1× 487 2.8× 183 1.1× 22 0.2× 29 1.2k
José F. Aldana‐Montes Spain 16 365 0.8× 72 0.2× 275 1.6× 155 0.9× 8 0.1× 96 783
Niranjan Balasubramanian United States 21 601 1.3× 41 0.1× 321 1.8× 265 1.5× 34 0.4× 71 2.6k
Bernd Wiswedel Germany 10 203 0.4× 24 0.1× 441 2.5× 139 0.8× 18 0.2× 17 1.1k
Jiangchao Yao China 19 424 0.9× 30 0.1× 201 1.1× 170 1.0× 19 0.2× 64 1.3k
Guodong Li China 17 140 0.3× 84 0.2× 408 2.3× 34 0.2× 180 2.0× 47 786
Thomas R. Gabriel Germany 6 180 0.4× 26 0.1× 337 1.9× 124 0.7× 14 0.2× 9 932
Xuan Wang China 18 726 1.6× 41 0.1× 371 2.1× 100 0.6× 30 0.3× 113 1.1k

Countries citing papers authored by Sanjib Das

Since Specialization
Citations

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

Fields of papers citing papers by Sanjib Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjib Das

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjib Das. A scholar is included among the top collaborators of Sanjib 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 Sanjib Das. Sanjib 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
2.
Baidya, Sandip Kumar, Tarun Patel, Suvankar Banerjee, et al.. (2024). Synthesis, biological assessment, and in silico binding mode interaction analyses and DFT studies of biphenylsulfonamide-based potent MMP-2 inhibitors effective against chronic myeloid leukemia. Journal of Molecular Structure. 1328. 141278–141278. 8 indexed citations
4.
Baidya, Sandip Kumar, Tarun Patel, Suvankar Banerjee, et al.. (2024). Biphenylsulfonamides as effective MMP‐2 inhibitors with promising antileukemic efficacy: Synthesis, in vitro biological evaluation, molecular docking, and MD simulation analysis. Drug Development Research. 85(6). e22255–e22255. 7 indexed citations
5.
Das, Sanjib, Subha Mondal, Tarun Patel, et al.. (2024). Derivatives of D(−) glutamine-based MMP-2 inhibitors as an effective remedy for the management of chronic myeloid leukemia-Part-I: Synthesis, biological screening and in silico binding interaction analysis. European Journal of Medicinal Chemistry. 274. 116563–116563. 8 indexed citations
6.
Sen, Koushik, et al.. (2024). Lupeol: A dietary and medicinal triterpene with therapeutic potential. Biochemical Pharmacology. 229. 116545–116545. 6 indexed citations
7.
Amin, Sk. Abdul, Samima Khatun, Shovanlal Gayen, Sanjib Das, & Tarun Jha. (2023). Are inhibitors of histone deacetylase 8 (HDAC8) effective in hematological cancers especially acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL)?. European Journal of Medicinal Chemistry. 258. 115594–115594. 19 indexed citations
8.
Amin, Sk. Abdul, et al.. (2022). A detail survey and analysis of selectivity criteria for indole-based histone deacetylase 8 (HDAC8) inhibitors. Journal of Molecular Structure. 1271. 133967–133967. 9 indexed citations
9.
Amin, Sk. Abdul, Samima Khatun, Sanjib Das, et al.. (2022). Binary quantitative activity-activity relationship (QAAR) studies to explore selective HDAC8 inhibitors: In light of mathematical models, DFT-based calculation and molecular dynamic simulation studies. Journal of Molecular Structure. 1260. 132833–132833. 12 indexed citations
10.
Tiwari, Prabhakar, Abhay Kulkarni, Sachin S. Chaudhari, et al.. (2022). An inhibitor of RORγ for chronic pulmonary obstructive disease treatment. Scientific Reports. 12(1). 8744–8744. 3 indexed citations
12.
Halder, Amit Kumar, et al.. (2021). Synthesis, Anticancer Activity, SAR and Binding Mode of Interaction Studies of Substituted Pentanoic Acids: Part II. Future Medicinal Chemistry. 14(1). 17–34. 7 indexed citations
14.
Das, Sanjib, Sk. Abdul Amin, & Tarun Jha. (2021). Inhibitors of gelatinases (MMP-2 and MMP-9) for the management of hematological malignancies. European Journal of Medicinal Chemistry. 223. 113623–113623. 77 indexed citations
15.
Patil, S. D., et al.. (2021). Development of potent and selective Cathepsin C inhibitors free of aortic binding liability by application of a conformational restriction strategy. Bioorganic & Medicinal Chemistry Letters. 47. 128202–128202. 6 indexed citations
16.
Doan, AnHai, Pradap Konda, Adel Ardalan, et al.. (2018). Toward a System Building Agenda for Data Integration (and Data Science).. IEEE Data(base) Engineering Bulletin. 41. 35–46. 3 indexed citations
17.
Das, Sanjib, Neelima Khairatkar-Joshi, Malini Bajpai, et al.. (2014). Design, synthesis and pharmacological evaluation of novel polycyclic heteroarene ethers as PDE10A inhibitors: Part I. Bioorganic & Medicinal Chemistry Letters. 24(9). 2073–2078. 8 indexed citations
18.
Chai, Xiaoyong, Nikesh Garera, Lu Liu, et al.. (2013). Social Media Analytics: The Kosmix Story.. IEEE Data(base) Engineering Bulletin. 36. 4–12. 10 indexed citations
19.
Naskar, Soumen, et al.. (2002). Performance of crossbred gilts under the influence of age and body weight. The Indian Journal of Animal Sciences. 72(11). 1013–1015.
20.
Das, Sanjib, et al.. (2001). Effect of boron and zinc application on growth and productivity of potato (Solanum tuberosum) at alluvial soil (Entisols) of India. Indian Journal of Agronomy. 64(1). 129–137. 5 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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