Ashutosh Tiwari
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 13
- Neurological diseases and metabolism 7
- Parkinson's Disease Mechanisms and Treatments 4
- Neurology top 2%
- Amyotrophic Lateral Sclerosis Research 13
- Neurological diseases and metabolism 7
- Parkinson's Disease Mechanisms and Treatments 4
- Spectroscopy top 1%
- Molecular Sensors and Ion Detection 11
- Genetics top 2%
- Neurogenetic and Muscular Disorders Research 5
- Physiology top 5%
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- Luminescence and Fluorescent Materials 11
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- Advanced biosensing and bioanalysis techniques 5
- Protein Structure and Dynamics 4
- Co-authors
- Lawrence J. HaywardSaji AlexJoan Selverstone ValentineHaiying LiuRobert H. BrownFen‐Tair LuoJorge RodríguezJingtuo Zhang
- Cited by
- NeurologySpectroscopy
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (10 papers)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesTaiwanIndia
In The Last Decade
Ashutosh Tiwari
45 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 126
- Neurology 1.2k
- Neurology 373
- Spectroscopy 658
- Genetics 372
- Physiology 518
Countries citing papers authored by Ashutosh Tiwari
This map shows the geographic impact of Ashutosh Tiwari'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 Ashutosh Tiwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashutosh Tiwari more than expected).
Fields of papers citing papers by Ashutosh Tiwari
This network shows the impact of papers produced by Ashutosh Tiwari. 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 Ashutosh Tiwari. The network helps show where Ashutosh Tiwari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashutosh Tiwari, 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 | 9 | |
| 3 | 2020 | 20 | |
| 4 | 2018 | 39 | |
| 5 | 2017 | 62 | |
| 6 | 2015 | 85 | |
| 7 | Advanced biomaterials and biodevices | 2014 | 9 |
| 8 | 2009 | 68 | |
| 9 | 2009 | 59 | |
| 10 | 2008 | 89 | |
| 11 | 2008 | 71 | |
| 12 | 2008 | 23 | |
| 13 | 2006 | 70 | |
| 14 | 2005 | 89 | |
| 15 | 2005 | 43 | |
| 16 | 2004 | 155 | |
| 17 | 2003 | 191 | |
| 18 | 2002 | 204 | |
| 19 | 2001 | 12 | |
| 20 | 2000 | 2 |
About Ashutosh Tiwari
Ashutosh Tiwari is a scholar working on Neurology, Neurology and Spectroscopy, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (13 papers), Molecular Sensors and Ion Detection (11 papers), Luminescence and Fluorescent Materials (11 papers), Neurological diseases and metabolism (7 papers), Neurogenetic and Muscular Disorders Research (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Protein Structure and Dynamics (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Neurology (1.2k citations), Neurology (373 citations) and Spectroscopy (658 citations). Ashutosh Tiwari has collaborated with scholars based in United States, Taiwan and India. Frequent co-authors include Lawrence J. Hayward, Saji Alex, Joan Selverstone Valentine, Haiying Liu, Robert H. Brown, Fen‐Tair Luo, Jorge Rodríguez, Jingtuo Zhang, Mu Yang and Daryl K. Eggers. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.