Prasanna K. Dadi
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- Diet, Metabolism, and Disease 4
- Surgery top 10%
- Pancreatic function and diabetes 31
- Physiology top 10%
- Genetics top 10%
- Diabetes and associated disorders 11
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- Metabolism, Diabetes, and Cancer 9
- ATP Synthase and ATPases Research 4
- Ion Transport and Channel Regulation 4
- Mitochondrial Function and Pathology 3
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- David A. JacobsonZulfiqar AhmadNicholas C. VierraMatthew T. DickersonNaga Babu ChinnamM. Anaul KabirMark A. MagnusonDavid W. Piston
- Journals
- Diabetes (7 papers)Molecular Metabolism (3 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Prasanna K. Dadi
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Endocrinology, Diabetes and Metabolism 216
- Surgery 528
- Physiology 48
- Genetics 277
- Molecular Biology 549
Countries citing papers authored by Prasanna K. Dadi
This map shows the geographic impact of Prasanna K. Dadi'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 Prasanna K. Dadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasanna K. Dadi more than expected).
Fields of papers citing papers by Prasanna K. Dadi
This network shows the impact of papers produced by Prasanna K. Dadi. 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 Prasanna K. Dadi. The network helps show where Prasanna K. Dadi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Prasanna K. Dadi, 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 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 22 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 18 | |
| 12 | 2018 | 24 | |
| 13 | 2017 | 28 | |
| 14 | 2014 | 54 | |
| 15 | 2014 | 31 | |
| 16 | 2013 | 27 | |
| 17 | 2012 | 3 | |
| 18 | 2012 | 52 | |
| 19 | 2010 | 1 | |
| 20 | 2010 | 114 |
About Prasanna K. Dadi
Prasanna K. Dadi is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (31 papers), Diabetes and associated disorders (11 papers), Metabolism, Diabetes, and Cancer (9 papers), ATP Synthase and ATPases Research (4 papers), Ion Transport and Channel Regulation (4 papers), Diet, Metabolism, and Disease (4 papers), Mitochondrial Function and Pathology (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (216 citations), Surgery (528 citations) and Physiology (48 citations). Prasanna K. Dadi has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include David A. Jacobson, Zulfiqar Ahmad, Nicholas C. Vierra, Matthew T. Dickerson, Naga Babu Chinnam, M. Anaul Kabir, Mark A. Magnuson, David W. Piston, Alessandro Ustione and Lynley D. Pound. Their work appears in journals such as Diabetes, Molecular Metabolism, International Journal of Biological Macromolecules, Nature Communications and Developmental Cell.
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.