Anirvan Chatterjee

1.3k citations
28 papers · 565 · h-index 12

Impact in

Papers in

Anirvan Chatterjee

28 papers receiving 557 citations

Peers

Anirvan Chatterjee
Comparison fields: 5 of 72
  • Infectious Diseases 369
  • Molecular Medicine 75
  • Epidemiology 353
  • Clinical Biochemistry 52
  • Endocrinology 19
Replace Sasha J. Rose with:
Sasha J. Rose United States
Julia Feldmann Switzerland
Patrick Beckert Germany
Marjorie Pizarro‐Guajardo Chile
Michael C. Wehrhahn Australia
Elena Limeschenko Russia
W. Mijs Belgium
Anabela Miranda Portugal
Michael E. Watson United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Anirvan Chatterjee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anirvan Chatterjee Line = papers co-authored together Anirvan Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017231
2 201058
3 201337
4 201729
5 201224
6 201223
7 201718
8 202017
9 201116
10 201615
11 201712
12 201911
13 201611
14 201210
15 20178
16 20227
17 20127
18 20126
19 20215
20 20244

About Anirvan Chatterjee

Anirvan Chatterjee is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Ecology and Surgery, having authored 28 papers that have together received 565 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (15 papers), Bacteriophages and microbial interactions (7 papers), Plant Virus Research Studies (5 papers), Antibiotic Resistance in Bacteria (4 papers), Infectious Diseases and Tuberculosis (4 papers), Genomics and Phylogenetic Studies (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). The work is most often cited by research in Infectious Diseases (369 citations), Molecular Medicine (75 citations), Epidemiology (353 citations), Clinical Biochemistry (52 citations) and Endocrinology (19 citations). Anirvan Chatterjee has collaborated with scholars based in India, United Kingdom and Switzerland. Frequent co-authors include Nerges Mistry, Kiran Kondabagil, Kayzad Nilgiriwala, Dhananjaya Saranath, Zamin Iqbal, Louise Pankhurst, Derrick W. Crook, Antonina A. Votintseva, Phelim Bradley and E. Grace Smith. Their work appears in journals such as Tuberculosis, Journal of Clinical Microbiology, Archives of Virology, PLoS ONE and Scientific Reports.

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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