Shulin Wang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Cell death mechanisms and regulation
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- RNA Interference and Gene Delivery
Papers in
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- Gene expression and cancer classification 18
- Bioinformatics and Genomic Networks 15
- Machine Learning in Bioinformatics 12
- Circular RNAs in diseases 5
- Single-cell and spatial transcriptomics 5
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- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 9
- Co-authors
- Wafik S. El‐Deiry (6 shared papers)Jiawei Luo (4 shared papers)Jie Cai (1 shared paper)Sheng Yang (1 shared paper)Chunyi Wu (1 shared paper)Li Wen (7 shared papers)De-Shuang Huang (2 shared papers)Jie Gui (2 shared papers)
- Journals
- Neurocomputing (4 papers)Computers in Biology and Medicine (4 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Journal of Computational Biology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Shulin Wang
109 papers receiving 4.2k citations
Shulin Wang's Hit Papers
Peers
Comparison fields: 5 of 200
- Cancer Research 405
- Molecular Biology 1.8k
- Artificial Intelligence 692
- Health Information Management 100
- Immunology 386
Countries citing papers authored by Shulin Wang
This map shows the geographic impact of Shulin 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 Shulin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shulin Wang more than expected).
Fields of papers citing papers by Shulin Wang
This network shows the impact of papers produced by Shulin 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 Shulin Wang. The network helps show where Shulin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shulin 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Feature selection in machine learning: A new perspective Hit paper breakdown → | 2018 | 1432 |
| 2 | TRAIL and apoptosis induction by TNF-family death receptors Hit paper breakdown → | 2003 | 725 |
| 3 | 2003 | 128 | |
| 4 | 2019 | 119 | |
| 5 | 2011 | 105 | |
| 6 | 2003 | 88 | |
| 7 | 2005 | 86 | |
| 8 | 2006 | 86 | |
| 9 | 2001 | 80 | |
| 10 | 2009 | 75 | |
| 11 | 2020 | 75 | |
| 12 | 2015 | 57 | |
| 13 | 2023 | 54 | |
| 14 | 2007 | 52 | |
| 15 | 2023 | 51 | |
| 16 | 2022 | 46 | |
| 17 | 2018 | 45 | |
| 18 | 2021 | 44 | |
| 19 | 2011 | 42 | |
| 20 | 2016 | 42 |
About Shulin Wang
Shulin Wang is a scholar working on Molecular Biology, Cancer Research, Artificial Intelligence, Cell Biology and Computational Theory and Mathematics, having authored 112 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (18 papers), Bioinformatics and Genomic Networks (15 papers), Machine Learning in Bioinformatics (12 papers), Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (9 papers), Computational Drug Discovery Methods (6 papers), Circular RNAs in diseases (5 papers) and Single-cell and spatial transcriptomics (5 papers). The work is most often cited by research in Cancer Research (405 citations), Molecular Biology (1.8k citations), Artificial Intelligence (692 citations), Health Information Management (100 citations) and Immunology (386 citations). Shulin Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wafik S. El‐Deiry, Jiawei Luo, Jie Cai, Sheng Yang, Chunyi Wu, Li Wen, De-Shuang Huang, Jie Gui, Shanwen Zhang and Jiayou Ji. Their work appears in journals such as Neurocomputing, Computers in Biology and Medicine, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of Computational Biology and Scientific Reports.
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.