Pavan Vaddady
Impact in
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- Antibiotic Resistance in Bacteria
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- Synthesis and biological activity
- Click Chemistry and Applications
- Synthesis and Characterization of Heterocyclic Compounds
Papers in
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- Antibiotics Pharmacokinetics and Efficacy 5
- Co-authors
- Bernd Meibohm (4 shared papers)Richard Lee (2 shared papers)Duane D. Miller (1 shared paper)James T. Dalton (1 shared paper)Zhao Wang (1 shared paper)Jianjun Chen (1 shared paper)Chien-Ming Li (1 shared paper)Wěi Li (1 shared paper)
- Journals
- Clinical and Translational Science (6 papers)CPT Pharmacometrics & Systems Pharmacology (3 papers)Clinical Pharmacology & Therapeutics (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Diabetes (2 papers)
- Partner nations
- United StatesGreeceJapan
In The Last Decade
Pavan Vaddady
19 papers receiving 258 citations
Peers
Comparison fields: 5 of 73
- Molecular Medicine 22
- Organic Chemistry 92
- Health Informatics 4
- Pharmacology 43
- Applied Microbiology and Biotechnology 5
Countries citing papers authored by Pavan Vaddady
This map shows the geographic impact of Pavan Vaddady'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 Pavan Vaddady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavan Vaddady more than expected).
Fields of papers citing papers by Pavan Vaddady
This network shows the impact of papers produced by Pavan Vaddady. 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 Pavan Vaddady. The network helps show where Pavan Vaddady may publish in the future.
Co-authors
The 25 scholars most cited alongside Pavan Vaddady, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 107 | |
| 2 | 2010 | 41 | |
| 3 | 2023 | 40 | |
| 4 | 2017 | 16 | |
| 5 | 2018 | 9 | |
| 6 | 2017 | 9 | |
| 7 | 2021 | 8 | |
| 8 | 2023 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2018 | 3 | |
| 15 | 2010 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2024 | 0 |
About Pavan Vaddady
Pavan Vaddady is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Infectious Diseases and Oncology, having authored 24 papers that have together received 264 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (5 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers), HIV/AIDS drug development and treatment (4 papers), Hepatitis C virus research (3 papers), Antibiotic Resistance in Bacteria (3 papers), Pancreatic function and diabetes (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Molecular Medicine (22 citations), Organic Chemistry (92 citations), Health Informatics (4 citations), Pharmacology (43 citations) and Applied Microbiology and Biotechnology (5 citations). Pavan Vaddady has collaborated with scholars based in United States, Greece and Japan. Frequent co-authors include Bernd Meibohm, Richard Lee, Duane D. Miller, James T. Dalton, Zhao Wang, Jianjun Chen, Chien-Ming Li, Wěi Li, Yan Lü and Didier Renard. Their work appears in journals such as Clinical and Translational Science, CPT Pharmacometrics & Systems Pharmacology, Clinical Pharmacology & Therapeutics, Antimicrobial Agents and Chemotherapy and Diabetes.
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.