Puniti Mathur
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Chemical Synthesis and Analysis 8
- Protein Structure and Dynamics 5
- Machine Learning in Bioinformatics 2
-
- Carbohydrate Chemistry and Synthesis 3
- Inorganic and Organometallic Chemistry 2
- Co-authors
- Suryanarayanarao Ramakumar (3 shared papers)V. S. Chauhan (2 shared papers)Anil K. Mishra (1 shared paper)Ashima Bagaria (1 shared paper)Atanu Basu (1 shared paper)Virander S. Chauhan (4 shared papers)N. R. Jagannathan (3 shared papers)U.A. Ramagopal (2 shared papers)
- Journals
- Journal of Peptide Science (4 papers)Biopolymers (2 papers)ACS Omega (1 paper)Journal of Biomolecular Structure and Dynamics (1 paper)Protein Science (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesItaly
In The Last Decade
Puniti Mathur
19 papers receiving 367 citations
Peers
Comparison fields: 5 of 61
- Biomaterials 126
- Microbiology 51
- Organic Chemistry 155
- Filtration and Separation 9
- Molecular Biology 224
Countries citing papers authored by Puniti Mathur
This map shows the geographic impact of Puniti Mathur'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 Puniti Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puniti Mathur more than expected).
Fields of papers citing papers by Puniti Mathur
This network shows the impact of papers produced by Puniti Mathur. 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 Puniti Mathur. The network helps show where Puniti Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Puniti Mathur, 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 | 2007 | 136 | |
| 2 | 2004 | 71 | |
| 3 | 2002 | 27 | |
| 4 | 2010 | 23 | |
| 5 | 1967 | 22 | |
| 6 | 2007 | 17 | |
| 7 | 2022 | 14 | |
| 8 | 2024 | 12 | |
| 9 | 2003 | 11 | |
| 10 | 2006 | 10 | |
| 11 | 2019 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2011 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2017 | 2 | |
| 16 | 1964 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Puniti Mathur
Puniti Mathur is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Surgery and Pharmacology, having authored 20 papers that have together received 369 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (8 papers), Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Antimicrobial Peptides and Activities (2 papers), Inorganic and Organometallic Chemistry (2 papers), Supramolecular Self-Assembly in Materials (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Biomaterials (126 citations), Microbiology (51 citations), Organic Chemistry (155 citations), Filtration and Separation (9 citations) and Molecular Biology (224 citations). Puniti Mathur has collaborated with scholars based in India, United Arab Emirates and Italy. Frequent co-authors include Suryanarayanarao Ramakumar, V. S. Chauhan, Anil K. Mishra, Ashima Bagaria, Atanu Basu, Virander S. Chauhan, N. R. Jagannathan, U.A. Ramagopal, Nanjaian Mahadevan and Subhash Mohan Agarwal. Their work appears in journals such as Journal of Peptide Science, Biopolymers, ACS Omega, Journal of Biomolecular Structure and Dynamics and Protein Science.
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.