Adrish Anand
Impact in
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- Neurological disorders and treatments
- Transcranial Magnetic Stimulation Studies
- Parkinson's Disease Mechanisms and Treatments
- Botulinum Toxin and Related Neurological Disorders
Papers in
- Surgery 6
- Organ Transplantation Techniques and Outcomes 4
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- Neurological disorders and treatments 5
- Co-authors
- Ben Shofty (9 shared papers)Sameer A. Sheth (9 shared papers)Ron Gadot (9 shared papers)Ricardo A. Najera (8 shared papers)Wayne K. Goodman (3 shared papers)Eric A. Storch (2 shared papers)Malcolm F. McDonald (8 shared papers)Abbas Rana (8 shared papers)
- Journals
- Journal of neurosurgery (4 papers)World Neurosurgery (2 papers)Clinical Transplantation (2 papers)Journal of Personalized Medicine (1 paper)Neurosurgery (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Adrish Anand
23 papers receiving 195 citations
Peers
Comparison fields: 5 of 50
- Neurology 83
- Transplantation 11
- Neurology 27
- Clinical Psychology 62
- Cognitive Neuroscience 47
Countries citing papers authored by Adrish Anand
This map shows the geographic impact of Adrish Anand'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 Adrish Anand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrish Anand more than expected).
Fields of papers citing papers by Adrish Anand
This network shows the impact of papers produced by Adrish Anand. 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 Adrish Anand. The network helps show where Adrish Anand may publish in the future.
Co-authors
The 25 scholars most cited alongside Adrish Anand, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 69 | |
| 2 | 2022 | 17 | |
| 3 | 2022 | 14 | |
| 4 | 2021 | 14 | |
| 5 | 2024 | 13 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 7 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2022 | 2 |
About Adrish Anand
Adrish Anand is a scholar working on Surgery, Neurology, Cognitive Neuroscience, Transplantation and Hepatology, having authored 23 papers that have together received 196 indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Liver Disease and Transplantation (4 papers), Autism Spectrum Disorder Research (3 papers), EEG and Brain-Computer Interfaces (3 papers), Obsessive-Compulsive Spectrum Disorders (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Neurology (83 citations), Transplantation (11 citations), Neurology (27 citations), Clinical Psychology (62 citations) and Cognitive Neuroscience (47 citations). Adrish Anand has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Ben Shofty, Sameer A. Sheth, Ron Gadot, Ricardo A. Najera, Wayne K. Goodman, Eric A. Storch, Malcolm F. McDonald, Abbas Rana, Nhu Thao Nguyen Galván and Christine A. O’Mahony. Their work appears in journals such as Journal of neurosurgery, World Neurosurgery, Clinical Transplantation, Journal of Personalized Medicine and Neurosurgery.
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.