Duolin Wang
Impact in
- Molecular Biology top 10%
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA modifications and cancer
Papers in
-
- Machine Learning in Bioinformatics 17
- Protein Structure and Dynamics 11
- RNA and protein synthesis mechanisms 9
- Bioinformatics and Genomic Networks 7
- Genomics and Phylogenetic Studies 5
- vaccines and immunoinformatics approaches 5
- Gene expression and cancer classification 4
- Co-authors
- Dong Xu (35 shared papers)Yuexu Jiang (15 shared papers)Yanchun Liang (5 shared papers)Trupti Joshi (9 shared papers)Fei He (8 shared papers)Shuai Zeng (6 shared papers)Dongpeng Liu (3 shared papers)Chunhui Xu (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Computational and Structural Biotechnology Journal (5 papers)Bioinformatics (3 papers)Nature Machine Intelligence (2 papers)Remote Sensing (2 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Duolin Wang
41 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Molecular Biology 865
- Cancer Research 94
- Genetics 142
- Computational Theory and Mathematics 82
- Biophysics 24
Countries citing papers authored by Duolin Wang
This map shows the geographic impact of Duolin Wang'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 Duolin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duolin Wang more than expected).
Fields of papers citing papers by Duolin Wang
This network shows the impact of papers produced by Duolin Wang. 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 Duolin Wang. The network helps show where Duolin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Duolin Wang, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 206 | |
| 2 | 2020 | 197 | |
| 3 | 2021 | 121 | |
| 4 | 2019 | 107 | |
| 5 | 2018 | 106 | |
| 6 | 2023 | 103 | |
| 7 | 2023 | 76 | |
| 8 | 2021 | 72 | |
| 9 | 2014 | 52 | |
| 10 | 2021 | 23 | |
| 11 | 2023 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2022 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2024 | 14 | |
| 17 | 2019 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2018 | 11 |
About Duolin Wang
Duolin Wang is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Immunology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (17 papers), Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (9 papers), Bioinformatics and Genomic Networks (7 papers), Genomics and Phylogenetic Studies (5 papers), vaccines and immunoinformatics approaches (5 papers), Gene expression and cancer classification (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (865 citations), Cancer Research (94 citations), Genetics (142 citations), Computational Theory and Mathematics (82 citations) and Biophysics (24 citations). Duolin Wang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Dong Xu, Yuexu Jiang, Yanchun Liang, Trupti Joshi, Fei He, Shuai Zeng, Dongpeng Liu, Chunhui Xu, Wang‐Ren Qiu and Juexin Wang. Their work appears in journals such as Nucleic Acids Research, Computational and Structural Biotechnology Journal, Bioinformatics, Nature Machine Intelligence and 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.