Ashwin Dhakal
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
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- Computational Drug Discovery Methods
Papers in
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- Advanced Electron Microscopy Techniques and Applications 5
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- Bioinformatics and Genomic Networks 1
- Co-authors
- Jianlin Cheng (7 shared papers)John J. Tanner (1 shared paper)Subarna Shakya (1 shared paper)Liguo Wang (4 shared papers)Hammad Gilani (1 shared paper)Kannappan Palaniappan (1 shared paper)Imad Eddine Toubal (1 shared paper)Armstrong Aboah (1 shared paper)
- Journals
- Briefings in Bioinformatics (3 papers)Scientific Data (1 paper)Communications Chemistry (1 paper)Bioinformatics (1 paper)Journal of Applied Remote Sensing (1 paper)
- Partner nations
- United StatesNepalPakistan
In The Last Decade
Ashwin Dhakal
10 papers receiving 290 citations
Peers
Comparison fields: 5 of 78
- Structural Biology 55
- Computational Theory and Mathematics 99
- Molecular Biology 116
- Biophysics 9
- Plant Science 47
Countries citing papers authored by Ashwin Dhakal
This map shows the geographic impact of Ashwin Dhakal'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 Ashwin Dhakal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Dhakal more than expected).
Fields of papers citing papers by Ashwin Dhakal
This network shows the impact of papers produced by Ashwin Dhakal. 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 Ashwin Dhakal. The network helps show where Ashwin Dhakal may publish in the future.
Co-authors
The 10 scholars most cited alongside Ashwin Dhakal, 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 | 2021 | 166 | |
| 2 | 2018 | 47 | |
| 3 | 2023 | 21 | |
| 4 | 2024 | 17 | |
| 5 | 2017 | 15 | |
| 6 | 2024 | 13 | |
| 7 | 2024 | 10 | |
| 8 | 2018 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2025 | 0 |
About Ashwin Dhakal
Ashwin Dhakal is a scholar working on Structural Biology, Molecular Biology, Ecology, Artificial Intelligence and Information Systems, having authored 11 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Electron Microscopy Techniques and Applications (5 papers), Bacteriophages and microbial interactions (2 papers), Forest ecology and management (1 paper), Plant Disease Management Techniques (1 paper), Advanced Neural Network Applications (1 paper), Remote Sensing in Agriculture (1 paper), IoT and GPS-based Vehicle Safety Systems (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Structural Biology (55 citations), Computational Theory and Mathematics (99 citations), Molecular Biology (116 citations), Biophysics (9 citations) and Plant Science (47 citations). Ashwin Dhakal has collaborated with scholars based in United States, Nepal and Pakistan. Frequent co-authors include Jianlin Cheng, John J. Tanner, Subarna Shakya, Liguo Wang, Hammad Gilani, Kannappan Palaniappan, Imad Eddine Toubal, Armstrong Aboah, Dong Xu and Zhiyuan Yang. Their work appears in journals such as Briefings in Bioinformatics, Scientific Data, Communications Chemistry, Bioinformatics and Journal of Applied Remote Sensing.
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.