Pradeep K. Chatterjee

615 citations
27 papers · 488 · h-index 11

Impact in

  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism
    • Virus-based gene therapy research

Papers in

    • Advanced biosensing and bioanalysis techniques 7
    • CRISPR and Genetic Engineering 6
    • RNA Research and Splicing 5
    • RNA Interference and Gene Delivery 4
    • RNA and protein synthesis mechanisms 4
    • Genomics and Chromatin Dynamics 4

Pradeep K. Chatterjee

26 papers receiving 465 citations

Peers

Pradeep K. Chatterjee
Comparison fields: 5 of 72
  • Pharmacology 43
  • Genetics 134
  • Molecular Biology 313
  • Endocrinology, Diabetes and Metabolism 43
  • Cell Biology 40
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Citations per field
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Citations per year

Countries citing papers authored by Pradeep K. Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep K. Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004114
2 197869
3 198657
4 200342
5 200532
6 199221
7 199920
8 198617
9 200814
10 199614
11 200114
12 20129
13 20049
14 20049
15 20009
16 20117
17 20035
18 20105
19 20045
20 20134

About Pradeep K. Chatterjee

Pradeep K. Chatterjee is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Oncology, having authored 27 papers that have together received 488 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), Bacteriophages and microbial interactions (6 papers), CRISPR and Genetic Engineering (6 papers), RNA Research and Splicing (5 papers), Chromosomal and Genetic Variations (5 papers), RNA Interference and Gene Delivery (4 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Pharmacology (43 citations), Genetics (134 citations), Molecular Biology (313 citations), Endocrinology, Diabetes and Metabolism (43 citations) and Cell Biology (40 citations). Pradeep K. Chatterjee has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Charles R. Cantor, S. J. Flint, M. E. Vayda, Willie Wilson, Rodney C. Gilmore, Delores J. Grant, David W. Threadgill, Fernando Pardo‐Manuel de Villena, Beverly Lyn‐Cook and David A. Detwiler. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, Proceedings of the National Academy of Sciences, Analytical Biochemistry and Biochemical and Biophysical Research Communications.

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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