Puja Pathuri
Impact in
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- Computational Drug Discovery Methods
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- Hepatitis C virus research
Papers in
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- Enzyme Structure and Function 6
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- S100 Proteins and Annexins 3
- Protein Degradation and Inhibitors 2
- Melanoma and MAPK Pathways 2
- RNA and protein synthesis mechanisms 1
- PI3K/AKT/mTOR signaling in cancer 1
- Co-authors
- Hartmut Luecke (4 shared papers)Andrew Woodhead (2 shared papers)Lutz Vogeley (1 shared paper)Emily Tam Nguyen (3 shared papers)Harren Jhoti (2 shared papers)Pamela A. Williams (2 shared papers)Staffan G. Svärd (2 shared papers)Susanne M. Saalau-Bethell (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (3 papers)Journal of Molecular Biology (3 papers)Nature Chemical Biology (1 paper)ACS Medicinal Chemistry Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Puja Pathuri
12 papers receiving 311 citations
Peers
Comparison fields: 5 of 38
- Computational Theory and Mathematics 93
- Hepatology 33
- Parasitology 22
- Molecular Biology 170
- Organic Chemistry 34
Countries citing papers authored by Puja Pathuri
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 94 | |
| 2 | 2016 | 54 | |
| 3 | 2018 | 53 | |
| 4 | 2024 | 35 | |
| 5 | 2008 | 29 | |
| 6 | 2013 | 22 | |
| 7 | 2021 | 18 | |
| 8 | 2008 | 17 | |
| 9 | 2007 | 16 | |
| 10 | 2006 | 3 | |
| 11 | 2014 | 2 | |
| 12 | 2024 | 2 |
About Puja Pathuri
Puja Pathuri is a scholar working on Materials Chemistry, Molecular Biology, Computational Theory and Mathematics, Hepatology and Organic Chemistry, having authored 12 papers that have together received 345 indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), S100 Proteins and Annexins (3 papers), Protein Degradation and Inhibitors (2 papers), Computational Drug Discovery Methods (2 papers), Melanoma and MAPK Pathways (2 papers), RNA and protein synthesis mechanisms (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper) and Hepatitis C virus research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (93 citations), Hepatology (33 citations), Parasitology (22 citations), Molecular Biology (170 citations) and Organic Chemistry (34 citations). Puja Pathuri has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Hartmut Luecke, Andrew Woodhead, Lutz Vogeley, Emily Tam Nguyen, Harren Jhoti, Pamela A. Williams, Staffan G. Svärd, Susanne M. Saalau-Bethell, Brent L. Graham and Gianni Chessari. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Molecular Biology, Nature Chemical Biology, ACS Medicinal Chemistry Letters and Nature 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.