Ashwin Dhakal

562 total citations
10 papers, 251 citations indexed

About

Ashwin Dhakal is a scholar working on Structural Biology, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ashwin Dhakal has authored 10 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Structural Biology, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Ashwin Dhakal's work include Advanced Electron Microscopy Techniques and Applications (5 papers), Bacteriophages and microbial interactions (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). Ashwin Dhakal is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (5 papers), Bacteriophages and microbial interactions (2 papers) and Integrated Circuits and Semiconductor Failure Analysis (2 papers). Ashwin Dhakal collaborates with scholars based in United States and Nepal. Ashwin Dhakal's co-authors include Jianlin Cheng, John J. Tanner, Subarna Shakya, Liguo Wang, Armstrong Aboah, Kannappan Palaniappan, Dong Xu and Zhiyuan Yang and has published in prestigious journals such as Bioinformatics, Briefings in Bioinformatics and Scientific Data.

In The Last Decade

Ashwin Dhakal

9 papers receiving 245 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ashwin Dhakal United States 6 123 96 44 41 35 10 251
Janani Durairaj Switzerland 12 269 2.2× 38 0.4× 45 1.0× 3 0.1× 59 1.7× 18 349
Shidi Tang China 6 122 1.0× 89 0.9× 8 0.2× 2 0.0× 40 1.1× 12 227
Francesco Trozzi United States 9 147 1.2× 111 1.2× 8 0.2× 3 0.1× 80 2.3× 12 242
Arup Mondal United States 9 129 1.0× 26 0.3× 6 0.1× 17 0.4× 32 0.9× 25 213
Elzbieta Rembeza Sweden 6 276 2.2× 31 0.3× 13 0.3× 2 0.0× 34 1.0× 7 354
Jianwei Zhu China 10 267 2.2× 59 0.6× 5 0.1× 4 0.1× 88 2.5× 28 406
Ben Krause United States 5 357 2.9× 62 0.6× 12 0.3× 2 0.0× 46 1.3× 22 547
Xiaoli Lin China 11 160 1.3× 100 1.0× 33 0.8× 24 0.7× 51 308
Xianglu Li China 12 168 1.4× 8 0.1× 82 1.9× 3 0.1× 7 0.2× 43 409
Katarína Furmanová Czechia 6 244 2.0× 32 0.3× 12 0.3× 2 0.0× 48 1.4× 23 389

Countries citing papers authored by Ashwin Dhakal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ashwin Dhakal

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwin Dhakal. A scholar is included among the top collaborators of Ashwin Dhakal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashwin Dhakal. Ashwin Dhakal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Dhakal, Ashwin, et al.. (2025). Multimodal deep learning integration of cryo-EM and AlphaFold3 for high-accuracy protein structure determination. Communications Chemistry. 8(1). 320–320.
2.
3.
Dhakal, Ashwin, et al.. (2024). Artificial intelligence in cryo-EM protein particle picking: recent advances and remaining challenges. Briefings in Bioinformatics. 26(1). 7 indexed citations
4.
Dhakal, Ashwin, et al.. (2024). CryoTransformer: a transformer model for picking protein particles from cryo-EM micrographs. Bioinformatics. 40(3). 15 indexed citations
5.
6.
Dhakal, Ashwin, et al.. (2023). A large expert-curated cryo-EM image dataset for machine learning protein particle picking. Scientific Data. 10(1). 392–392. 16 indexed citations
7.
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Dhakal, Ashwin, et al.. (2021). Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions. Briefings in Bioinformatics. 23(1). 149 indexed citations
9.
Dhakal, Ashwin & Subarna Shakya. (2018). Image-Based Plant Disease Detection with Deep Learning. International Journal of Computer Trends and Technology. 61(1). 26–29. 45 indexed citations
10.
Dhakal, Ashwin, et al.. (2018). Exploring Deep Learning in Semantic Question Matching. 5 indexed citations

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.

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2026