Ming Wen
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 6
- Biophysics top 2%
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 7
- Cancer Research top 10%
- MicroRNA in disease regulation 5
- Molecular Biology top 10%
- Protein Structure and Dynamics 3
- Metabolomics and Mass Spectrometry Studies 3
-
- Advanced Chemical Sensor Technologies 6
-
- Soil Carbon and Nitrogen Dynamics 3
-
- Agronomic Practices and Intercropping Systems 3
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Bioinformatics (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Wen
43 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Computational Theory and Mathematics 621
- Biophysics 149
- Analytical Chemistry 193
- Cancer Research 298
- Molecular Biology 1.0k
Countries citing papers authored by Ming Wen
This map shows the geographic impact of Ming Wen'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 Ming Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wen more than expected).
Fields of papers citing papers by Ming Wen
This network shows the impact of papers produced by Ming Wen. 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 Ming Wen. The network helps show where Ming Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming Wen, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 6 | |
| 17 | Effects of altitude on rice quality of Yuxiang 203. | 2018 | 1 |
| 18 | 2016 | 20 | |
| 19 | 2012 | 430 | |
| 20 | Isolation and identification of the porcine reproductive and respiratory syndrome virus (PRRSV) from Culex tritaeniorhynchus (Diptera: Culicidae) in pig farms. | 2009 | 1 |
About Ming Wen
Ming Wen is a scholar working on General Energy, Analytical Chemistry and Soil Science, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (7 papers), Computational Drug Discovery Methods (6 papers), Advanced Chemical Sensor Technologies (6 papers), MicroRNA in disease regulation (5 papers), Protein Structure and Dynamics (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Agronomic Practices and Intercropping Systems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (621 citations), Biophysics (149 citations) and Analytical Chemistry (193 citations). Ming Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongmei Lü, Zhimin Zhang, Suhua Shi, Tian Tang, Yang Shen, Yong‐Huan Yun, Dongsheng Cao, Ruihan Yang, Jie Dong and Aiping Lü. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Analytical Chemistry.
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.