Chiranjeevi Pasala
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Heat shock proteins research 3
- vaccines and immunoinformatics approaches 3
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- Synthesis and biological activity 4
- Co-authors
- Sudheer Kumar Katari (10 shared papers)Amineni Umamaheswari (8 shared papers)Kanipakam Hema (3 shared papers)Aparna Rajeshwar Rao Bitla (5 shared papers)Pradeep Natarajan (2 shared papers)Chandra Sekhar Reddy Chilamakuri (2 shared papers)Gabriela Chiosis (5 shared papers)Sahil Sharma (3 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (3 papers)Bioorganic Chemistry (2 papers)Microbial Pathogenesis (1 paper)Cell Stress and Chaperones (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Chiranjeevi Pasala
23 papers receiving 292 citations
Peers
Comparison fields: 5 of 68
- Computational Theory and Mathematics 47
- Toxicology 8
- Biotechnology 20
- Molecular Biology 155
- Pharmacology 26
Countries citing papers authored by Chiranjeevi Pasala
This map shows the geographic impact of Chiranjeevi Pasala'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 Chiranjeevi Pasala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiranjeevi Pasala more than expected).
Fields of papers citing papers by Chiranjeevi Pasala
This network shows the impact of papers produced by Chiranjeevi Pasala. 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 Chiranjeevi Pasala. The network helps show where Chiranjeevi Pasala may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiranjeevi Pasala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 56 | |
| 2 | 2020 | 26 | |
| 3 | 2024 | 26 | |
| 4 | 2018 | 23 | |
| 5 | 2024 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2018 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2015 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2024 | 5 |
About Chiranjeevi Pasala
Chiranjeevi Pasala is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Toxicology and Immunology, having authored 25 papers that have together received 296 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Synthesis and biological activity (4 papers), Helicobacter pylori-related gastroenterology studies (4 papers), Heat shock proteins research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Peptidase Inhibition and Analysis (3 papers), vaccines and immunoinformatics approaches (3 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Computational Theory and Mathematics (47 citations), Toxicology (8 citations), Biotechnology (20 citations), Molecular Biology (155 citations) and Pharmacology (26 citations). Chiranjeevi Pasala has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Sudheer Kumar Katari, Amineni Umamaheswari, Kanipakam Hema, Aparna Rajeshwar Rao Bitla, Pradeep Natarajan, Chandra Sekhar Reddy Chilamakuri, Gabriela Chiosis, Sahil Sharma, Giorgio Colombo and Tanaya Roychowdhury. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioorganic Chemistry, Microbial Pathogenesis, Cell Stress and Chaperones and Journal of Clinical Investigation.
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.