Dipak Chetia

1.7k total citations
73 papers, 1.2k citations indexed

About

Dipak Chetia is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dipak Chetia has authored 73 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computational Theory and Mathematics, 32 papers in Organic Chemistry and 23 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dipak Chetia's work include Computational Drug Discovery Methods (39 papers), Malaria Research and Control (23 papers) and Synthesis and biological activity (22 papers). Dipak Chetia is often cited by papers focused on Computational Drug Discovery Methods (39 papers), Malaria Research and Control (23 papers) and Synthesis and biological activity (22 papers). Dipak Chetia collaborates with scholars based in India, Indonesia and China. Dipak Chetia's co-authors include Mithun Rudrapal, Neelutpal Gogoi, James H. Zothantluanga, Partha Pratim Kaishap, Gauri Duarah, Bhaskarjyoti Gogoi, Mukesh Kumar Kumawat, Vineeta Singh, Anil Prakash and Aparoop Das and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Journal of Ethnopharmacology.

In The Last Decade

Dipak Chetia

69 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipak Chetia India 21 516 453 307 182 109 73 1.2k
Edeildo Ferreira da Silva‐Júnior Brazil 23 391 0.8× 188 0.4× 451 1.5× 343 1.9× 89 0.8× 93 1.3k
Barij Nayan Sinha India 25 637 1.2× 220 0.5× 550 1.8× 160 0.9× 278 2.6× 108 1.6k
Chaofeng Lou China 9 263 0.5× 559 1.2× 472 1.5× 49 0.3× 117 1.1× 11 1.2k
Nizam Uddin Pakistan 24 736 1.4× 381 0.8× 405 1.3× 44 0.2× 191 1.8× 75 1.5k
Yenamandra S. Prabhakar India 21 667 1.3× 414 0.9× 411 1.3× 77 0.4× 121 1.1× 82 1.2k
Alexander V. Dmitriev Russia 20 203 0.4× 505 1.1× 511 1.7× 124 0.7× 126 1.2× 72 1.2k
Assia Belhassan Morocco 14 315 0.6× 475 1.0× 225 0.7× 38 0.2× 74 0.7× 34 827
Yun Tang China 4 246 0.5× 442 1.0× 384 1.3× 45 0.2× 96 0.9× 4 974
Vijay H. Masand India 23 922 1.8× 750 1.7× 533 1.7× 71 0.4× 264 2.4× 102 1.7k
Malgorzata N. Drwal Germany 13 253 0.5× 542 1.2× 510 1.7× 42 0.2× 141 1.3× 18 1.1k

Countries citing papers authored by Dipak Chetia

Since Specialization
Citations

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

Fields of papers citing papers by Dipak Chetia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipak Chetia

This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Chetia. A scholar is included among the top collaborators of Dipak Chetia 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 Dipak Chetia. Dipak Chetia 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
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Gogoi, Neelutpal, Bhaskarjyoti Gogoi, Partha Pratim Kaishap, & Dipak Chetia. (2024). Identification of antimalarial phytoconstituents from Tinospora sinensis (Lour.) Merr. Stem by in vitro whole cell assay and multiple targets directed in silico screening against Plasmodium falciparum. Journal of Ethnopharmacology. 338(Pt 3). 119134–119134. 4 indexed citations
4.
Gogoi, Neelutpal, et al.. (2023). Design and Screening of Tetracycline Antibiotics: An In Silico Approach. SHILAP Revista de lepidopterología. 2(1). 7–13. 3 indexed citations
5.
Chetia, Dipak, et al.. (2023). Lawsonia inermis Linn: A Breakthrough in Cosmeceuticals. SHILAP Revista de lepidopterología. 2(1). 99–120. 3 indexed citations
6.
Zothantluanga, James H., et al.. (2023). An In-Silico Investigation on the Molecular Interactions between Ellagic Acid and Pf DHFR-TS. Polycyclic aromatic compounds. 44(6). 4081–4102. 2 indexed citations
7.
Zothantluanga, James H., et al.. (2023). Revelation of potential drug targets of luteolin in Plasmodium falciparum through multi-target molecular dynamics simulation studies. Journal of Biomolecular Structure and Dynamics. 42(21). 11612–11628. 1 indexed citations
8.
Chetia, Dipak, et al.. (2022). In Silico Design and Screening of Cephalosporin Derivatives for Their Inhibitory Potential Against Haemophilus influenza. SHILAP Revista de lepidopterología. 1(2). 60–67. 4 indexed citations
9.
Zothantluanga, James H. & Dipak Chetia. (2022). A Beginner’s Guide to Molecular Docking. SHILAP Revista de lepidopterología. 1(2). 90–93. 9 indexed citations
10.
Gogoi, Neelutpal, et al.. (2022). Integrated computational approach towards repurposing of antimalarial drug against SARS-CoV-2 main protease. Structural Chemistry. 33(5). 1409–1422. 3 indexed citations
11.
Kumawat, Mukesh Kumar & Dipak Chetia. (2021). Synthesis, Antimalarial Activity Evaluation and Molecular Docking Studies of Some New Substituted Spiro-1,2,4,5-Tetraoxane Derivatives. Pharmaceutical Chemistry Journal. 55(8). 814–820. 4 indexed citations
12.
Rudrapal, Mithun & Dipak Chetia. (2020). Virtual Screening, Molecular Docking and QSAR Studies in Drug Discovery and Development Programme. Journal of Drug Delivery and Therapeutics. 10(4). 225–233. 20 indexed citations
13.
Borah, Debajit, Priyanka Trivedi, Abdul Aziz Ali, et al.. (2020). A Simple Work-Up-free, Solvent-free Approach to Novel Amino Acid Linked 1,4-Disubstituted 1,2,3-Triazoles as Potent Antituberculosis Agents. ACS Omega. 5(46). 29830–29837. 40 indexed citations
14.
Chetia, Dipak, et al.. (2019). In Vivo Validation of Folkloric Use of Costus pictus D. Don as Antidiabetic Plant in Assam, Using Streptozotocin Induced Wister Rat Model. Indian Journal of Clinical Biochemistry. 35(2). 225–231. 4 indexed citations
15.
Chetia, Dipak, et al.. (2019). Molecular Docking, Drug-Likeness Studies and ADMET Prediction of Quinoline Imines for Antimalarial Activity. Chemical Science Transactions. 8(2). 8 indexed citations
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Rudrapal, Mithun, Dipak Chetia, & Vineeta Singh. (2017). Novel series of 1,2,4-trioxane derivatives as antimalarial agents. Journal of Enzyme Inhibition and Medicinal Chemistry. 32(1). 1159–1173. 45 indexed citations
18.
Roy, Susanta Sinha, Dipak Chetia, Mithun Rudrapal, & Anil Prakash. (2013). Synthesis and Antimalarial Activity Study of Some New Mannich Bases of 7-Chloro-4-Aminoquinoline. Medicinal Chemistry. 9(3). 379–383. 15 indexed citations
19.
Rudrapal, Mithun & Dipak Chetia. (2011). Novel 4-aminoquinoline analogues as antimalarial agents: A review. Der pharmacia lettre. 3(3). 29–36. 5 indexed citations
20.
Bhattacharya, Sanjib, et al.. (2009). Synthesis and antimalarial screening of some new isoquine analogues.. International Journal of ChemTech Research. 1(2). 322–328. 1 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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