S. Chatterjee

1.4k citations
34 papers · 1.2k · h-index 19

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 21
    • Cytomegalovirus and herpesvirus research 10
    • Virus-based gene therapy research 9

S. Chatterjee

34 papers receiving 1.1k citations

Peers

S. Chatterjee
Comparison fields: 5 of 69
  • Virology 155
  • Epidemiology 838
  • Genetics 439
  • Immunology 293
  • Immunology and Allergy 54
Replace I. W. Halliburton with:
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Citations per field
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Citations per year

Countries citing papers authored by S. Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by S. Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. 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 S. Chatterjee Line = papers co-authored together S. Chatterjee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995167
2 1993161
3 1987111
4 199885
5 199177
6 198564
7 198757
8 198246
9 198641
10 198230
11 199127
12 198925
13 197925
14 198425
15 199123
16 198122
17 200520
18
Aerobiological investigation and in vitro studies of pollen grains from 2 dominant avenue trees in Kolkata, India.
200820
19 198019
20
Phoenix sylvestris Roxb pollen allergy: a 2-year randomized controlled trial and follow-up study of immunotherapy in patients with seasonal allergy in an agricultural area of West Bengal, India.
200616

About S. Chatterjee

S. Chatterjee is a scholar working on Epidemiology, Genetics, Immunology, Virology and Molecular Biology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (21 papers), Cytomegalovirus and herpesvirus research (10 papers), Virus-based gene therapy research (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HIV Research and Treatment (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Poxvirus research and outbreaks (3 papers). The work is most often cited by research in Virology (155 citations), Epidemiology (838 citations), Genetics (439 citations), Immunology (293 citations) and Immunology and Allergy (54 citations). S. Chatterjee has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Richard J. Whitley, Eric Hunter, Bernard Roizman, J Chou, R. J. Whitley, Earl R. Kern, Richard Longnecker, Junichi Koga, Fred D. Lakeman and James A. Bradac. Their work appears in journals such as Journal of Virology, Virology, Proceedings of the National Academy of Sciences, Virus Research and Antiviral Research.

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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