Wei‐Chen Wang
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Advanced Proteomics Techniques and Applications 3
- Mass Spectrometry Techniques and Applications 3
-
- Animal Virus Infections Studies 4
- Co-authors
- Chien‐Chen Lai (16 shared papers)Donald L. Weaver (2 shared papers)Takamaru Ashikaga (2 shared papers)Gladwyn Leiman (2 shared papers)Barbara Beatty (2 shared papers)Weiwei Wang (1 shared paper)Longlong Wang (1 shared paper)Mengyue Yang (1 shared paper)
- Journals
- Food Chemistry (3 papers)American Journal of Clinical Pathology (2 papers)Nature Communications (2 papers)Virology Journal (2 papers)Rapid Communications in Mass Spectrometry (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Wei‐Chen Wang
27 papers receiving 320 citations
Peers
Comparison fields: 5 of 59
- Analytical Chemistry 34
- Geriatrics and Gerontology 9
- Pathology and Forensic Medicine 36
- Oncology 47
- Spectroscopy 28
Countries citing papers authored by Wei‐Chen Wang
This map shows the geographic impact of Wei‐Chen 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 Wei‐Chen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Chen Wang more than expected).
Fields of papers citing papers by Wei‐Chen Wang
This network shows the impact of papers produced by Wei‐Chen 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 Wei‐Chen Wang. The network helps show where Wei‐Chen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Chen 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 57 | |
| 2 | 2021 | 46 | |
| 3 | 2022 | 33 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 17 | |
| 9 | 2024 | 16 | |
| 10 | 2020 | 8 | |
| 11 | 2004 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2013 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | Analysis of liposoluble components from the oil of Semen Ziziphi Spinose. | 2015 | 3 |
About Wei‐Chen Wang
Wei‐Chen Wang is a scholar working on Spectroscopy, Animal Science and Zoology, Molecular Biology, Infectious Diseases and Analytical Chemistry, having authored 33 papers that have together received 332 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Identification and Quantification in Food (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Tea Polyphenols and Effects (2 papers), Food and Agricultural Sciences (2 papers) and Radical Photochemical Reactions (2 papers). The work is most often cited by research in Analytical Chemistry (34 citations), Geriatrics and Gerontology (9 citations), Pathology and Forensic Medicine (36 citations), Oncology (47 citations) and Spectroscopy (28 citations). Wei‐Chen Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chien‐Chen Lai, Donald L. Weaver, Takamaru Ashikaga, Gladwyn Leiman, Barbara Beatty, Weiwei Wang, Longlong Wang, Mengyue Yang, Kaiwu Dong and Linli Zhang. Their work appears in journals such as Food Chemistry, American Journal of Clinical Pathology, Nature Communications, Virology Journal and Rapid Communications in Mass Spectrometry.
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.