Puja Pathuri

416 citations
7 papers · 193 · h-index 6

Impact in

Papers in

    • S100 Proteins and Annexins 4
    • Tuberculosis Research and Epidemiology 2
    • Amoebic Infections and Treatments 2
    • HIV/AIDS drug development and treatment 1

Puja Pathuri

7 papers receiving 184 citations

Peers

Puja Pathuri
Comparison fields: 5 of 54
  • Hepatology 33
  • Parasitology 24
  • Computational Theory and Mathematics 45
  • Virology 11
  • Infectious Diseases 41
Replace Martin DiGrandi with:
Martin DiGrandi United States
Grennady Wirjanata United Kingdom
Patrícia Meireles Portugal
Ronnatrai Ruangweerayut Thailand
Anja Rippert Germany
Jennifer Timm United States
Pamela Berry United States
Emanuela Nizi Italy
Kerstin Gagaring United States
Agnès Didier France
Puja Pathuri relative to Martin DiGrandi United States Martin DiGrandi's profile →
Citations per field
00.5×7.3×
Martin 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

7 of 7 papers shown
#Work
1 201285
2 200829
3 202426
4 201320
5 200716
6 200814
7 20063

About Puja Pathuri

Puja Pathuri is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Microbiology and Organic Chemistry, having authored 7 papers that have together received 193 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (4 papers), Computational Drug Discovery Methods (2 papers), Tuberculosis Research and Epidemiology (2 papers), Amoebic Infections and Treatments (2 papers), Antimicrobial Peptides and Activities (2 papers), Venomous Animal Envenomation and Studies (1 paper), Hepatitis C virus research (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Hepatology (33 citations), Parasitology (24 citations), Computational Theory and Mathematics (45 citations), Virology (11 citations) and Infectious Diseases (41 citations). Puja Pathuri has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Hartmut Luecke, Andrew Woodhead, Lutz Vogeley, Pamela A. Williams, Emily T. Nguyen, Christopher W. Murray, Harren Jhoti, Sharna J. Rich, Staffan G. Svärd and Brent Graham. Their work appears in journals such as Journal of Molecular Biology, Nature Chemical Biology, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry 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.

Explore authors with similar magnitude of impact