Indira Chatterjee

742 citations
44 papers · 574 · h-index 14

Impact in

  • Biophysics top 2%
    • Electromagnetic Fields and Biological Effects
    • Microbial Inactivation Methods

Papers in

Indira Chatterjee

36 papers receiving 550 citations

Peers

Indira Chatterjee
Comparison fields: 5 of 86
  • Biophysics 166
  • Biotechnology 230
  • Physiology 68
  • Cellular and Molecular Neuroscience 129
  • Biomedical Engineering 258
Replace Agnese Denzi with:
Agnese Denzi Italy
Delia Arnaud‐Cormos France
Sergii Romanenko Australia
Deleana Pozzi Italy
Yukihisa Suzuki Japan
Joachim Streckert Germany
Enrico D’Emilia Italy
Christian W. Zemlin United States
Iurii Semenov United States
Maura Casciola United States
Indira Chatterjee relative to Agnese Denzi Italy Agnese Denzi's profile →
Citations per field
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Agnese Denzi · 1×
Citations per year

Countries citing papers authored by Indira Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Indira Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201088
2 198667
3 199161
4 201144
5 200938
6 197928
7 198325
8 200222
9 200222
10 200020
11 199419
12 201719
13 201616
14 201715
15 200311
16 202011
17 201410
18 20197
19 20037
20 20217

About Indira Chatterjee

Indira Chatterjee is a scholar working on Biomedical Engineering, Biotechnology, Biophysics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 44 papers that have together received 574 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (10 papers), Electromagnetic Fields and Biological Effects (9 papers), Neuroscience and Neural Engineering (8 papers), Career Development and Diversity (7 papers), Microfluidic and Bio-sensing Technologies (7 papers), Engineering Education and Curriculum Development (5 papers), Wireless Body Area Networks (4 papers) and Engineering Education and Pedagogy (4 papers). The work is most often cited by research in Biophysics (166 citations), Biotechnology (230 citations), Physiology (68 citations), Cellular and Molecular Neuroscience (129 citations) and Biomedical Engineering (258 citations). Indira Chatterjee has collaborated with scholars based in United States, India and Egypt. Frequent co-authors include Gale L. Craviso, O.P. Gandhi, P. Thomas Vernier, Paroma Chatterjee, Nelson G. Publicover, Normand Leblanc, Gordon K. Livingston, Karsten Witt, L. Gayle Littlefield and Joseph L. Roti Roti. Their work appears in journals such as Bioelectrochemistry, Bioelectromagnetics, IEEE Transactions on Biomedical Engineering, The Journal of Membrane Biology and PLoS ONE.

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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