Anirvan Chatterjee

1.3k total citations
28 papers, 565 citations indexed

About

Anirvan Chatterjee is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Anirvan Chatterjee has authored 28 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 17 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in Anirvan Chatterjee's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (15 papers) and Bacteriophages and microbial interactions (7 papers). Anirvan Chatterjee is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (15 papers) and Bacteriophages and microbial interactions (7 papers). Anirvan Chatterjee collaborates with scholars based in India, United Kingdom and Malaysia. Anirvan Chatterjee's co-authors include Nerges Mistry, Kiran Kondabagil, Kayzad Nilgiriwala, Dhananjaya Saranath, Derrick W. Crook, Louise Pankhurst, Zamin Iqbal, Phelim Bradley, David Wyllie and A Sarah Walker and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Anirvan Chatterjee

28 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anirvan Chatterjee India 12 369 353 153 144 93 28 565
Sophia B. Georghiou United States 14 671 1.8× 589 1.7× 185 1.2× 228 1.6× 33 0.4× 32 799
Camille Kolenda France 13 146 0.4× 108 0.3× 166 1.1× 164 1.1× 368 4.0× 34 589
Avanish K. Varshney United States 16 344 0.9× 96 0.3× 247 1.6× 64 0.4× 48 0.5× 21 615
W. Mijs Belgium 12 772 2.1× 852 2.4× 172 1.1× 233 1.6× 74 0.8× 16 958
M. Carmen Menéndez Spain 15 619 1.7× 806 2.3× 356 2.3× 123 0.9× 85 0.9× 26 1.0k
Florian Wölbeling Germany 6 256 0.7× 236 0.7× 187 1.2× 122 0.8× 36 0.4× 8 487
Shiomi Yoshida Japan 15 648 1.8× 728 2.1× 120 0.8× 215 1.5× 42 0.5× 69 827
Anita Suresh Switzerland 10 302 0.8× 258 0.7× 258 1.7× 109 0.8× 19 0.2× 20 675
T. J. Hellyer United Kingdom 12 336 0.9× 358 1.0× 130 0.8× 168 1.2× 82 0.9× 14 530
Nabeeh A. Hasan United States 15 352 1.0× 541 1.5× 138 0.9× 39 0.3× 47 0.5× 37 663

Countries citing papers authored by Anirvan Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Anirvan Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anirvan Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Anirvan Chatterjee. A scholar is included among the top collaborators of Anirvan Chatterjee 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 Anirvan Chatterjee. Anirvan Chatterjee 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.
Atre, Sachin, et al.. (2025). Clinical Importance of Whole-genome Sequencing for a Timely Diagnosis and Management of Drug-resistant Tuberculosis (DR-TB): Two Case Reports from Pune City, India. Medical Journal of Dr D Y Patil Vidyapeeth. 18(6). 1004–1009. 1 indexed citations
2.
Atre, Sachin, et al.. (2024). Whole-genome sequencing of clinical isolates from tuberculosis patients in India: real-world data indicates a high proportion of pre-XDR cases. Microbiology Spectrum. 12(5). e0277023–e0277023. 4 indexed citations
3.
Shah, Sanchi, Chaitali Nikam, Sanjay Bhattacharya, et al.. (2024). An integrated method for targeted Oxford Nanopore sequencing and automated bioinformatics for the simultaneous detection of bacteria, fungi, and ARG. Journal of Applied Microbiology. 135(2). 2 indexed citations
4.
Arora, V.K., S K Katiyar, Deepak Talwar, et al.. (2023). Genomic revolution: Transforming tuberculosis diagnosis and treatment with the use of Whole Genome Sequencing - A consensus statement. Indian Journal of Tuberculosis. 70(4). 383–389. 2 indexed citations
5.
Shah, Sanchi, et al.. (2022). Whole-genome sequencing of presumptive MDR-TB isolates from a tertiary healthcare setting in Mumbai. Journal of Global Antimicrobial Resistance. 31. 256–262. 7 indexed citations
6.
Agrawal, Sachee, Jayanthi Shastri, Anirvan Chatterjee, et al.. (2022). Development of a PNA–DiSc2 based portable absorbance platform for the detection of pathogen nucleic acids. The Analyst. 147(23). 5306–5313. 2 indexed citations
7.
8.
Chatterjee, Anirvan & Kiran Kondabagil. (2019). Giant viral genomic signatures in the previously reported gut metagenomes of pre-school children in rural India. Archives of Virology. 164(11). 2819–2822. 4 indexed citations
9.
10.
Votintseva, Antonina A., Phelim Bradley, Louise Pankhurst, et al.. (2017). Same-Day Diagnostic and Surveillance Data for Tuberculosis via Whole-Genome Sequencing of Direct Respiratory Samples. Journal of Clinical Microbiology. 55(5). 1285–1298. 231 indexed citations
11.
Chatterjee, Anirvan, et al.. (2017). The number of genes encoding repeat domain-containing proteins positively correlates with genome size in amoebal giant viruses. Virus Evolution. 4(1). vex039–vex039. 18 indexed citations
12.
Chatterjee, Anirvan & Kiran Kondabagil. (2017). Complete genome sequence of Kurlavirus, a novel member of the family Marseilleviridae isolated in Mumbai, India. Archives of Virology. 162(10). 3243–3245. 12 indexed citations
13.
Sriraman, Kalpana, Kayzad Nilgiriwala, Dhananjaya Saranath, Anirvan Chatterjee, & Nerges Mistry. (2017). Deregulation of Genes Associated with Alternate Drug Resistance Mechanisms in Mycobacterium tuberculosis. Current Microbiology. 75(4). 394–400. 8 indexed citations
14.
Chatterjee, Anirvan, et al.. (2016). Isolation and complete genome sequencing of Mimivirus bombay , a Giant Virus in sewage of Mumbai, India. Genomics Data. 9. 1–3. 15 indexed citations
15.
Chatterjee, Anirvan, et al.. (2014). Kinetics of recA and recX induction in drug-susceptible and MDR clinical strains of Mycobacterium tuberculosis. Journal of Antimicrobial Chemotherapy. 69(12). 3199–3202. 3 indexed citations
16.
17.
Dholakia, Yatin, et al.. (2012). Chest X-rays and associated clinical parameters in pulmonary Tubercolosis cases from the National Tubercolosis Program, Mumbai, India. Infectious Disease Reports. 4(1). e10–e10. 10 indexed citations
18.
Chatterjee, Anirvan & Nerges Mistry. (2012). MIRU–VNTR profiles of three major Mycobacterium tuberculosis spoligotypes found in western India. Tuberculosis. 93(2). 250–256. 24 indexed citations
19.
20.
Atre, Sachin, et al.. (2011). Risk factors associated with MDR-TB at the onset of therapy among new cases registered with the RNTCP in Mumbai, India. Indian Journal of Public Health. 55(1). 14–14. 16 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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