Manish C. Bagchi

405 total citations
22 papers, 353 citations indexed

About

Manish C. Bagchi is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Manish C. Bagchi has authored 22 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 16 papers in Computational Theory and Mathematics and 5 papers in Molecular Biology. Recurrent topics in Manish C. Bagchi's work include Computational Drug Discovery Methods (16 papers), Synthesis and biological activity (14 papers) and Multicomponent Synthesis of Heterocycles (4 papers). Manish C. Bagchi is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Synthesis and biological activity (14 papers) and Multicomponent Synthesis of Heterocycles (4 papers). Manish C. Bagchi collaborates with scholars based in India, United States and Slovenia. Manish C. Bagchi's co-authors include Sisir Nandi, Marjan Vračko, Denise Mills, Subhash C. Basak, Payel Ghosh, Barnali Maiti, Payel Ghosh, Sanjoy Mukherjee, Asis Kumar Chattopadhyay and Apurba K. Bhattacharjee and has published in prestigious journals such as Journal of Enzyme Inhibition and Medicinal Chemistry, Journal of Molecular Modeling and Molecular Simulation.

In The Last Decade

Manish C. Bagchi

22 papers receiving 341 citations

Peers

Manish C. Bagchi

CTM

PHARM

Devidas T. Mahajan India

Razieh Sabet Iran

Carolina L. Bellera Argentina

Dasong Wang China

Mounir Ghamali Morocco

Rahul D. Jawarkar India

Ibrahim Olaide Adedotun Nigeria

Yuquan Zhou China

Philipe Oliveira Fernandes Brazil

Rameshwar S. Cheke India

Devidas T. Mahajan India

Manish C. Bagchi

256 ×1.3

CTM

235 ×1.3

150 ×1.2

37 ×0.8

39 ×1.6

PHARM

Citations per year, relative to Manish C. Bagchi Manish C. Bagchi (= 1×) peers Devidas T. Mahajan

Countries citing papers authored by Manish C. Bagchi

Since Specialization

Citations

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

Fields of papers citing papers by Manish C. Bagchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manish C. Bagchi. 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 Manish C. Bagchi. The network helps show where Manish C. Bagchi may publish in the future.

Co-authorship network of co-authors of Manish C. Bagchi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nandi, Sisir & Manish C. Bagchi. (2022). Exploring CDKs, Ras-ERK, and PI3K-Aktin Abnormal Signaling and Cancer. 11. 63–69. 5 indexed citations

Nandi, Sisir & Manish C. Bagchi. (2016). EGFr, FGFr and PDGFr: Emerging Targets for Anticancer Drug Design. 5(3). 6 indexed citations

Nandi, Sisir & Manish C. Bagchi. (2015). QSAR of Chalcones Utilizing Theoretical Molecular Descriptors. Current Computer - Aided Drug Design. 11(2). 184–193. 3 indexed citations

Nandi, Sisir, et al.. (2014). QSAR and pharmacophore modeling of indole-based C-3 pyridone compounds as HCV NS5B polymerase inhibitors utilizing computed molecular descriptors. Medicinal Chemistry Research. 24(6). 2432–2440. 11 indexed citations

Nandi, Sisir & Manish C. Bagchi. (2013). QSAR modeling of 4-anilinofuro[2,3-b]quinolines: an approach to anticancer drug design. Medicinal Chemistry Research. 23(4). 1672–1682. 6 indexed citations

Nandi, Sisir & Manish C. Bagchi. (2012). Importance of Kier-Hall Topological Indices in the QSAR of Anticancer Drug Design. Current Computer - Aided Drug Design. 8(2). 159–170. 10 indexed citations

Nandi, Sisir & Manish C. Bagchi. (2011). Activity Prediction of Some Nontested Anticancer Compounds Using GA‐Based PLS Regression Models. Chemical Biology & Drug Design. 78(4). 587–595. 10 indexed citations

Nandi, Sisir & Manish C. Bagchi. (2011). In silicodesign of potent EGFR kinase inhibitors using combinatorial libraries. Molecular Simulation. 37(3). 196–209. 12 indexed citations

Ghosh, Payel & Manish C. Bagchi. (2010). Anti-tubercular drug designing by structure based screening of combinatorial libraries. Journal of Molecular Modeling. 17(7). 1607–1620. 14 indexed citations

10.

Nandi, Sisir & Manish C. Bagchi. (2009). 3D-QSAR and molecular docking studies of 4-anilinoquinazoline derivatives: a rational approach to anticancer drug design. Molecular Diversity. 14(1). 27–38. 51 indexed citations

11.

Ghosh, Payel & Manish C. Bagchi. (2009). Comparative QSAR studies of nitrofuranyl amide derivatives using theoretical structural properties. Molecular Simulation. 35(14). 1185–1200. 23 indexed citations

12.

Ghosh, Payel, Marjan Vračko, Asis Kumar Chattopadhyay, & Manish C. Bagchi. (2008). On Application of Constitutional Descriptors for Merging of Quinoxaline Data Sets Using Linear Statistical Methods. Chemical Biology & Drug Design. 72(2). 155–162. 5 indexed citations

13.

Nandi, Sisir, Marjan Vračko, & Manish C. Bagchi. (2007). Anticancer Activity of Selected Phenolic Compounds: QSAR Studies Using Ridge Regression and Neural Networks. Chemical Biology & Drug Design. 70(5). 424–436. 59 indexed citations

14.

Nandi, Sisir & Manish C. Bagchi. (2007). QSAR Analysis of BABQ compounds via calculated molecular descriptors. Medicinal Chemistry Research. 15(7-8). 393–406. 3 indexed citations

15.

Bagchi, Manish C., et al.. (2006). On an aspect of calculated molecular descriptors in QSAR studies of quinolone antibacterials. Molecular Diversity. 10(3). 415–427. 16 indexed citations

16.

Bagchi, Manish C., Denise Mills, & Subhash C. Basak. (2006). Quantitative structure-activity relationship (QSAR) studies of quinolone antibacterials against M. fortuitum and M. smegmatis using theoretical molecular descriptors. Journal of Molecular Modeling. 13(1). 111–120. 30 indexed citations

17.

Bagchi, Manish C., et al.. (2004). Usefulness of graphical invariants in quantitative structure?activity correlations of tuberculostatic drugs of the isonicotinic acid hydrazide type. Journal of Molecular Modeling. 10(2). 102–111. 20 indexed citations

18.

Bagchi, Manish C., et al.. (2004). QSAR of anti tuberculosis drugs of INH type using graphical invariants. Journal of Molecular Structure THEOCHEM. 679(3). 179–186. 19 indexed citations

19.

Bagchi, Manish C. & Barnali Maiti. (2003). On application of atom pairs in drug design. Journal of Molecular Structure THEOCHEM. 623(1-3). 31–37. 12 indexed citations

20.

Bagchi, Manish C., et al.. (1993). Lipid peroxidation in hepatic microsomal membranes isolated from mice in health and in experimental leishmaniasis.. PubMed. 30(5). 277–81. 17 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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