Vishwajeeth Pagala
- Aging top 5%
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways 9
- Metabolomics and Mass Spectrometry Studies 7
- Muscle Physiology and Disorders 3
- Cell Biology top 10%
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications 9
- Mass Spectrometry Techniques and Applications 8
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- Genetic Neurodegenerative Diseases 4
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- Autophagy in Disease and Therapy 4
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- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Junmin PengClive A. SlaughterAnthony A. HighKalman P. BencsathMichael PodgorskiBrenda A. SchulmanFabio DemontisHaiyan Tan
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Journal of Biological Chemistry (2 papers)Nature Communications (4 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Vishwajeeth Pagala
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Aging 41
- Molecular Biology 767
- Cell Biology 153
- Spectroscopy 144
- Cellular and Molecular Neuroscience 117
Countries citing papers authored by Vishwajeeth Pagala
This map shows the geographic impact of Vishwajeeth Pagala'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 Vishwajeeth Pagala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishwajeeth Pagala more than expected).
Fields of papers citing papers by Vishwajeeth Pagala
This network shows the impact of papers produced by Vishwajeeth Pagala. 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 Vishwajeeth Pagala. The network helps show where Vishwajeeth Pagala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vishwajeeth Pagala, 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 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 15 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 41 | |
| 11 | 2021 | 49 | |
| 12 | 2020 | 34 | |
| 13 | 2019 | 32 | |
| 14 | 2017 | 13 | |
| 15 | 2016 | 31 | |
| 16 | 2016 | 81 | |
| 17 | 2015 | 34 | |
| 18 | 2015 | 36 | |
| 19 | 2005 | 18 | |
| 20 | 2002 | 108 |
About Vishwajeeth Pagala
Vishwajeeth Pagala is a scholar working on Aging, Spectroscopy and Molecular Biology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Ubiquitin and proteasome pathways (9 papers), Mass Spectrometry Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Genetic Neurodegenerative Diseases (4 papers), Autophagy in Disease and Therapy (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Aging (41 citations), Molecular Biology (767 citations) and Cell Biology (153 citations). Vishwajeeth Pagala has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Junmin Peng, Clive A. Slaughter, Anthony A. High, Kalman P. Bencsath, Michael Podgorski, Brenda A. Schulman, Fabio Demontis, Haiyan Tan, Yiping Fan and Yuxin Li. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.
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.