Ashish K. Gadicherla
- Molecular Biology top 10%
- Connexins and lens biology 9
- Mitochondrial Function and Pathology 5
- Endocrine and Autonomic Systems top 10%
- Neurology top 10%
- Physiology top 10%
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- Viral gastroenteritis research and epidemiology 9
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- Electron Spin Resonance Studies 6
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- Cardiac Ischemia and Reperfusion 6
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- Animal Virus Infections Studies 5
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- Hepatitis Viruses Studies and Epidemiology 5
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- Cardiac electrophysiology and arrhythmias 5
- Co-authors
- Luc LeybaertMélissa BolMarijke De BockElke DecrockGeert BultynckNan WangAmadou K.S. CamaraFeliksas F. Bukauskas
- Journals
- International Journal of Molecular Sciences (3 papers)Cold Spring Harbor Protocols (3 papers)Virus Research (2 papers)
- Partner nations
- GermanyUnited StatesBelgium
In The Last Decade
Ashish K. Gadicherla
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 881
- Endocrine and Autonomic Systems 81
- Neurology 84
- Physiology 44
- Cellular and Molecular Neuroscience 164
Countries citing papers authored by Ashish K. Gadicherla
This map shows the geographic impact of Ashish K. Gadicherla'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 Ashish K. Gadicherla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashish K. Gadicherla more than expected).
Fields of papers citing papers by Ashish K. Gadicherla
This network shows the impact of papers produced by Ashish K. Gadicherla. 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 Ashish K. Gadicherla. The network helps show where Ashish K. Gadicherla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashish K. Gadicherla, 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 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 22 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 52 | |
| 12 | 2017 | 99 | |
| 13 | 2013 | 14 | |
| 14 | 2013 | 106 | |
| 15 | 2013 | 145 | |
| 16 | 2013 | 50 | |
| 17 | 2012 | 33 | |
| 18 | 2012 | 170 | |
| 19 | 2011 | 76 | |
| 20 | 2010 | 1 |
About Ashish K. Gadicherla
Ashish K. Gadicherla is a scholar working on Biophysics, Structural Biology and Hepatology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Connexins and lens biology (9 papers), Electron Spin Resonance Studies (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Mitochondrial Function and Pathology (5 papers), Animal Virus Infections Studies (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). The work is most often cited by research in Molecular Biology (881 citations), Endocrine and Autonomic Systems (81 citations) and Neurology (84 citations). Ashish K. Gadicherla has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Luc Leybaert, Mélissa Bol, Marijke De Bock, Elke Decrock, Geert Bultynck, Nan Wang, Amadou K.S. Camara, Feliksas F. Bukauskas, David F. Stowe and Mathieu Vinken. Their work appears in journals such as International Journal of Molecular Sciences, Cold Spring Harbor Protocols, Virus Research, International Journal of Food Microbiology and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.