Niranjan Khadka
Impact in
- Neurology top 1%
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
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- Pain Management and Treatment
Papers in
- Neurology 40
- Transcranial Magnetic Stimulation Studies 39
- Neurological disorders and treatments 10
- Vagus Nerve Stimulation Research 4
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- Pain Management and Treatment 10
- Co-authors
- Marom BiksonDennis Q. TruongAdantchede L. ZannouDevin AdairJohn H. MartinAsif RahmanFelipe FregniRosana Esteller
- Journals
- Brain stimulation (17 papers)Neuromodulation Technology at the Neural Interface (6 papers)Journal of Neural Engineering (3 papers)Physics in Medicine and Biology (2 papers)Annals of Biomedical Engineering (2 papers)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Niranjan Khadka
44 papers receiving 740 citations
Peers
Comparison fields: 5 of 66
- Neurology 566
- Anesthesiology and Pain Medicine 118
- Cognitive Neuroscience 282
- Cellular and Molecular Neuroscience 204
- Rehabilitation 37
Countries citing papers authored by Niranjan Khadka
This map shows the geographic impact of Niranjan Khadka'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 Niranjan Khadka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niranjan Khadka more than expected).
Fields of papers citing papers by Niranjan Khadka
This network shows the impact of papers produced by Niranjan Khadka. 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 Niranjan Khadka. The network helps show where Niranjan Khadka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Niranjan Khadka, 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 | 11 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 19 | |
| 10 | 2020 | 44 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 20 | |
| 13 | 2019 | 27 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 9 | |
| 16 | 2017 | 7 | |
| 17 | 2016 | 4 | |
| 18 | 2016 | 30 | |
| 19 | 2016 | 28 | |
| 20 | 2015 | 44 |
About Niranjan Khadka
Niranjan Khadka is a scholar working on Neurology, Anesthesiology and Pain Medicine, Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 48 papers that have together received 747 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (39 papers), Neuroscience and Neural Engineering (17 papers), Muscle activation and electromyography studies (14 papers), Pain Management and Treatment (10 papers), Neurological disorders and treatments (10 papers), Vagus Nerve Stimulation Research (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Laser Applications in Dentistry and Medicine (4 papers). The work is most often cited by research in Neurology (566 citations), Anesthesiology and Pain Medicine (118 citations), Cognitive Neuroscience (282 citations), Cellular and Molecular Neuroscience (204 citations) and Rehabilitation (37 citations). Niranjan Khadka has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Marom Bikson, Dennis Q. Truong, Marom Bikson, Adantchede L. Zannou, Devin Adair, John H. Martin, Asif Rahman, Felipe Fregni, Rosana Esteller and Lucas C. Parra. Their work appears in journals such as Brain stimulation, Neuromodulation Technology at the Neural Interface, Journal of Neural Engineering, Physics in Medicine and Biology and Annals of Biomedical Engineering.
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.