Chandrajit Lahiri

550 total citations
23 papers, 344 citations indexed

About

Chandrajit Lahiri is a scholar working on Molecular Biology, Computational Theory and Mathematics and Molecular Medicine. According to data from OpenAlex, Chandrajit Lahiri has authored 23 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Molecular Medicine. Recurrent topics in Chandrajit Lahiri's work include Computational Drug Discovery Methods (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Protein Structure and Dynamics (3 papers). Chandrajit Lahiri is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Protein Structure and Dynamics (3 papers). Chandrajit Lahiri collaborates with scholars based in Malaysia, India and United States. Chandrajit Lahiri's co-authors include Provas Kumar Roy, Chirajyoti Deb, Shrikant Pawar, Rohit Mishra, Chit Laa Poh, Kuan Onn Tan, Archana Pan, Wriddhiman Ghosh, Sukhendu Mandal and Bomba Dam and has published in prestigious journals such as Scientific Reports, Journal of Bacteriology and Frontiers in Immunology.

In The Last Decade

Chandrajit Lahiri

23 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandrajit Lahiri Malaysia 12 183 61 58 49 40 23 344
Samantha M. Prezioso United States 10 154 0.8× 33 0.5× 39 0.7× 32 0.7× 55 1.4× 15 296
Ádám Györkei Hungary 7 296 1.6× 155 2.5× 76 1.3× 70 1.4× 17 0.4× 12 593
Tobias Persson Denmark 7 418 2.3× 98 1.6× 38 0.7× 33 0.7× 37 0.9× 9 545
Michael R. M. Ranieri Canada 5 345 1.9× 52 0.9× 34 0.6× 18 0.4× 44 1.1× 6 477
Hirak Jyoti Chakraborty India 11 170 0.9× 35 0.6× 119 2.1× 9 0.2× 36 0.9× 28 419
Xiaoli Xue China 10 305 1.7× 41 0.7× 34 0.6× 42 0.9× 42 1.1× 19 500
Ruchira Mukherji India 11 243 1.3× 30 0.5× 38 0.7× 45 0.9× 40 1.0× 18 385
Hee‐Won Bae South Korea 10 274 1.5× 69 1.1× 214 3.7× 48 1.0× 52 1.3× 22 511
Martina Adamek Germany 15 419 2.3× 35 0.6× 54 0.9× 15 0.3× 73 1.8× 23 666
Marco Tilotta Italy 9 221 1.2× 29 0.5× 39 0.7× 16 0.3× 19 0.5× 11 342

Countries citing papers authored by Chandrajit Lahiri

Since Specialization
Citations

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

Fields of papers citing papers by Chandrajit Lahiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chandrajit Lahiri

This figure shows the co-authorship network connecting the top 25 collaborators of Chandrajit Lahiri. A scholar is included among the top collaborators of Chandrajit Lahiri 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 Chandrajit Lahiri. Chandrajit Lahiri 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.
Tan, Kuan Onn, et al.. (2025). Whiteleg shrimp-derived Cryptides induce mitochondrial-mediated cytotoxicity in human breast Cancer. Bioorganic Chemistry. 160. 108432–108432. 1 indexed citations
2.
Lahiri, Chandrajit, et al.. (2023). Novel cationic cryptides in Penaeus vannamei demonstrate antimicrobial and anti-cancer activities. Scientific Reports. 13(1). 14673–14673. 6 indexed citations
3.
Abdella, Mohamed, Chandrajit Lahiri, Iskandar Abdullah, & Ayaz Anwar. (2023). Antibacterial Evaluation of Gallic Acid and its Derivatives against a Panelof Multi-drug Resistant Bacteria. Medicinal Chemistry. 20(2). 130–139. 1 indexed citations
4.
Lahiri, Chandrajit, et al.. (2022). Promising Acinetobacter baumannii Vaccine Candidates and Drug Targets in Recent Years. Frontiers in Immunology. 13. 900509–900509. 26 indexed citations
5.
Asghar, Ali, Muhammad Zahoor, Syafiq Asnawi Zainal Abidin, et al.. (2021). A scaffolded approach to unearth potential antibacterial components from epicarp of Malaysian Nephelium lappaceum L.. Scientific Reports. 11(1). 13859–13859. 16 indexed citations
6.
Asghar, Ali, et al.. (2021). Metabolite Profiling of Malaysian Gracilaria edulis Reveals Eplerenone as Novel Antibacterial Compound for Drug Repurposing Against MDR Bacteria. Frontiers in Microbiology. 12. 653562–653562. 16 indexed citations
7.
Lahiri, Chandrajit, et al.. (2020). A Comparative Genomics Approach for Shortlisting Broad-Spectrum Drug Targets in Nontuberculous Mycobacteria. Microbial Drug Resistance. 27(2). 212–226. 7 indexed citations
8.
Lahiri, Chandrajit, et al.. (2020). The phylogenomics of CRISPR-Cas system and revelation of its features in Salmonella. Scientific Reports. 10(1). 21156–21156. 17 indexed citations
9.
Mishra, Rohit, et al.. (2019). Delineating the Plausible Molecular Vaccine Candidates and Drug Targets of Multidrug-Resistant Acinetobacter baumannii. Frontiers in Cellular and Infection Microbiology. 9. 203–203. 15 indexed citations
10.
11.
Pawar, Shrikant, et al.. (2018). A side-effect free method for identifying cancer drug targets. Scientific Reports. 8(1). 6669–6669. 14 indexed citations
12.
Lahiri, Chandrajit, et al.. (2018). PNMA family: Protein interaction network and cell signalling pathways implicated in cancer and apoptosis. Cellular Signalling. 45. 54–62. 32 indexed citations
13.
Pawar, Shrikant, et al.. (2018). In silico Identification of the Indispensable Quorum Sensing Proteins of Multidrug Resistant Proteus mirabilis. Frontiers in Cellular and Infection Microbiology. 8. 269–269. 15 indexed citations
14.
Gatherer, Derek, et al.. (2018). Paradigm Shift in Drug Re-purposing From Phenalenone to Phenaleno-Furanone to Combat Multi-Drug Resistant Salmonella enterica Serovar Typhi. Frontiers in Cellular and Infection Microbiology. 8. 3 indexed citations
15.
Lahiri, Chandrajit, et al.. (2018). Quorum sensing: An imperative longevity weapon in bacteria. African Journal of Microbiology Research. 12(4). 96–104. 7 indexed citations
16.
Pan, Archana, et al.. (2015). Computational analysis of protein interaction networks for infectious diseases. Briefings in Bioinformatics. 17(3). 517–526. 32 indexed citations
17.
Lahiri, Chandrajit, et al.. (2014). Interactome analyses of Salmonella pathogenicity islands reveal SicA indispensable for virulence. Journal of Theoretical Biology. 363. 188–197. 19 indexed citations
18.
Sivakumar, Dakshinamurthy, Chandrajit Lahiri, & Dipshikha Chakravortty. (2012). Computational studies on histidine kinase protein BaeS to target multidrug-resistant Salmonella. Medicinal Chemistry Research. 22(4). 1804–1811. 4 indexed citations
19.
Lahiri, Chandrajit, et al.. (2012). Identifying indispensable proteins of the type III secretion systems of Salmonella enterica serovar Typhimurium strain LT2. BMC Bioinformatics. 13(S12). 4 indexed citations
20.
Lahiri, Chandrajit, Sukhendu Mandal, Wriddhiman Ghosh, Bomba Dam, & Provas Kumar Roy. (2006). A Novel Gene Cluster soxSRT Is Essential for the Chemolithotrophic Oxidation of Thiosulfate and Tetrathionate by Pseudaminobacter salicylatoxidans KCT001. Current Microbiology. 52(4). 267–273. 28 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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