Puja Pathuri

424 citations
8 papers · 210 · h-index 6

Impact in

Papers in

    • S100 Proteins and Annexins 4
    • Cancer therapeutics and mechanisms 1
    • Protein Structure and Dynamics 1
    • Tuberculosis Research and Epidemiology 2
    • Amoebic Infections and Treatments 2

Puja Pathuri

8 papers receiving 200 citations

Peers

Puja Pathuri
Comparison fields: 5 of 53
  • Hepatology 33
  • Parasitology 26
  • Computational Theory and Mathematics 50
  • Infectious Diseases 41
  • Virology 10
Replace Martin J. DiGrandi with:
Martin J. DiGrandi United States
Grennady Wirjanata United Kingdom
Jennifer Timm United States
Anubhav Srivastava Australia
Eric Baret France
Giulia Muratore Italy
Agnès Didier France
Anne Purfield United States
Paul Depledge United Kingdom
Marylin Torrentino-Madamet France
Puja Pathuri relative to Martin J. DiGrandi United States Martin J. DiGrandi's profile →
Citations per field
00.5×6.5×
Martin J. DiGrandi · 1×
Citations per year

Countries citing papers authored by Puja Pathuri

Since Specialization
Citations

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

Fields of papers citing papers by Puja Pathuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201291
2 202431
3 200829
4 201321
5 200817
6 200716
7 20063
8 20142

About Puja Pathuri

Puja Pathuri is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Microbiology and Organic Chemistry, having authored 8 papers that have together received 210 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), Computational Drug Discovery Methods (3 papers), Tuberculosis Research and Epidemiology (2 papers), Amoebic Infections and Treatments (2 papers), Antimicrobial Peptides and Activities (2 papers), Click Chemistry and Applications (1 paper), Cancer therapeutics and mechanisms (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Hepatology (33 citations), Parasitology (26 citations), Computational Theory and Mathematics (50 citations), Infectious Diseases (41 citations) and Virology (10 citations). Puja Pathuri has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Hartmut Luecke, Andrew Woodhead, Lutz Vogeley, Emily T. Nguyen, Pamela A. Williams, Gianni Chessari, Brent Graham, Caroline J. Richardson, Sharna J. Rich and Staffan G. Svärd. Their work appears in journals such as Journal of Molecular Biology, Journal of Medicinal Chemistry, ACS Medicinal Chemistry Letters, Nature Chemical Biology and Acta Crystallographica Section F Structural Biology and Crystallization 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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