Ramesh Kandimalla
- Biological Psychiatry top 2%
- Physiology top 1%
- Alzheimer's disease research and treatments 23
- Molecular Medicine top 2%
- Curcumin's Biomedical Applications 5
- Neurology top 2%
- Long-Term Effects of COVID-19 6
- Parkinson's Disease Mechanisms and Treatments 5
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- Mitochondrial Function and Pathology 11
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- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 7
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- Autophagy in Disease and Therapy 6
- Co-authors
- P. Hemachandra ReddyV. JayalakshmiMaria MańczakSaikat DewanjeeKiran Dip GillAbhijit DeyUttpal AnandWillayat Yousuf Wani
- Journals
- Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)Free Radical Biology and Medicine (1 paper)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Ramesh Kandimalla
80 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Biological Psychiatry 240
- Physiology 1.6k
- Molecular Medicine 263
- Neurology 419
- Complementary and alternative medicine 407
Countries citing papers authored by Ramesh Kandimalla
This map shows the geographic impact of Ramesh Kandimalla'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 Ramesh Kandimalla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Kandimalla more than expected).
Fields of papers citing papers by Ramesh Kandimalla
This network shows the impact of papers produced by Ramesh Kandimalla. 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 Ramesh Kandimalla. The network helps show where Ramesh Kandimalla may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ramesh Kandimalla, 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 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 36 | |
| 5 | 2023 | 27 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 3 | |
| 9 | Cancer chemotherapy and beyond: Current status, drug candidates, associated risks and progress in targeted therapeuticsbreakdown → | 2022 | 924 |
| 10 | 2021 | 39 | |
| 11 | 2021 | 135 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 43 | |
| 14 | 2021 | 59 | |
| 15 | 2021 | 47 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 31 | |
| 19 | 2020 | 2 | |
| 20 | 2020 | 24 |
About Ramesh Kandimalla
Ramesh Kandimalla is a scholar working on Biological Psychiatry, Physiology and Molecular Medicine, having authored 86 papers that have together received 5.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), Mitochondrial Function and Pathology (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (6 papers), Autophagy in Disease and Therapy (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Curcumin's Biomedical Applications (5 papers). The work is most often cited by research in Biological Psychiatry (240 citations), Physiology (1.6k citations) and Molecular Medicine (263 citations). Ramesh Kandimalla has collaborated with scholars based in India, United States and Italy. Frequent co-authors include P. Hemachandra Reddy, V. Jayalakshmi, Maria Mańczak, Saikat Dewanjee, Kiran Dip Gill, Abhijit Dey, Uttpal Anand, Willayat Yousuf Wani, Aditya Sunkaria and Annette Boles. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Free Radical Biology and 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.