Changlin Wan
Impact in
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Single-cell and spatial transcriptomics 6
- Gene expression and cancer classification 6
- Molecular Biology Techniques and Applications 2
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- Anomaly Detection Techniques and Applications 2
- Co-authors
- Gang Han (1 shared paper)Yang Zhao (1 shared paper)Jin Bao (1 shared paper)Yuqian Ma (1 shared paper)Yuanwei Zhang (1 shared paper)Tian Xue (1 shared paper)Xiangyu Zhou (1 shared paper)Zhanjun Li (1 shared paper)
- Journals
- Bioinformatics (2 papers)BMC Bioinformatics (2 papers)Humanities and Social Sciences Communications (1 paper)Journal of Applied Electrochemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Changlin Wan
23 papers receiving 577 citations
Peers
Comparison fields: 5 of 106
- Cellular and Molecular Neuroscience 85
- Cancer Research 69
- Molecular Biology 240
- Materials Chemistry 135
- Neurology 23
Countries citing papers authored by Changlin Wan
This map shows the geographic impact of Changlin Wan'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 Changlin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changlin Wan more than expected).
Fields of papers citing papers by Changlin Wan
This network shows the impact of papers produced by Changlin Wan. 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 Changlin Wan. The network helps show where Changlin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Changlin Wan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 233 | |
| 2 | 2021 | 121 | |
| 3 | 2019 | 34 | |
| 4 | 2019 | 29 | |
| 5 | 2002 | 26 | |
| 6 | 2008 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 1994 | 15 | |
| 9 | 2020 | 11 | |
| 10 | 2006 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2008 | 7 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Changlin Wan
Changlin Wan is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Cancer Research and Information Systems, having authored 25 papers that have together received 583 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Gene expression and cancer classification (6 papers), Cancer-related molecular mechanisms research (3 papers), Service-Oriented Architecture and Web Services (3 papers), Business Process Modeling and Analysis (2 papers), Anomaly Detection Techniques and Applications (2 papers), Molecular Biology Techniques and Applications (2 papers) and Digital Image Processing Techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (85 citations), Cancer Research (69 citations), Molecular Biology (240 citations), Materials Chemistry (135 citations) and Neurology (23 citations). Changlin Wan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gang Han, Yang Zhao, Jin Bao, Yuqian Ma, Yuanwei Zhang, Tian Xue, Xiangyu Zhou, Zhanjun Li, Ling Huang and Chi Zhang. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Humanities and Social Sciences Communications, Journal of Applied Electrochemistry and Journal of Clinical Investigation.
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.