Weizhi Chen
Impact in
-
- Neuroscience and Neuropharmacology Research
-
- FinTech, Crowdfunding, Digital Finance
Papers in
-
- Molecular Biology Techniques and Applications 3
-
- Cancer Genomics and Diagnostics 15
- Co-authors
- Paul A. Rosenberg (5 shared papers)Haisu Zhang (2 shared papers)Tara M. DeSilva (3 shared papers)Nina Irwin (3 shared papers)Urs V. Berger (2 shared papers)Chiye Aoki (2 shared papers)Veeravan Mahadomrongkul (2 shared papers)Youhe Gao (1 shared paper)
- Journals
- Journal of Clinical Oncology (10 papers)PLoS ONE (3 papers)Journal of Neuroscience (2 papers)Advanced Science (2 papers)Frontiers in Endocrinology (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Weizhi Chen
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 541
- Management Information Systems 140
- Developmental Neuroscience 58
- Biochemistry 101
- Pollution 108
Countries citing papers authored by Weizhi Chen
This map shows the geographic impact of Weizhi Chen'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 Weizhi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weizhi Chen more than expected).
Fields of papers citing papers by Weizhi Chen
This network shows the impact of papers produced by Weizhi Chen. 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 Weizhi Chen. The network helps show where Weizhi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Weizhi Chen, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 228 | |
| 2 | 2002 | 182 | |
| 3 | 2000 | 153 | |
| 4 | 2005 | 94 | |
| 5 | 2018 | 88 | |
| 6 | 2022 | 84 | |
| 7 | 2016 | 75 | |
| 8 | 2018 | 65 | |
| 9 | 2018 | 55 | |
| 10 | 2006 | 54 | |
| 11 | 2007 | 47 | |
| 12 | 2022 | 38 | |
| 13 | 2023 | 28 | |
| 14 | 2021 | 28 | |
| 15 | 2017 | 25 | |
| 16 | 2016 | 23 | |
| 17 | 2019 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2016 | 18 | |
| 20 | 2019 | 15 |
About Weizhi Chen
Weizhi Chen is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Cellular and Molecular Neuroscience, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (15 papers), Neuroscience and Neuropharmacology Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Plant Physiology and Cultivation Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Epilepsy research and treatment (3 papers), Microplastics and Plastic Pollution (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (541 citations), Management Information Systems (140 citations), Developmental Neuroscience (58 citations), Biochemistry (101 citations) and Pollution (108 citations). Weizhi Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Paul A. Rosenberg, Haisu Zhang, Tara M. DeSilva, Nina Irwin, Urs V. Berger, Chiye Aoki, Veeravan Mahadomrongkul, Youhe Gao, Min Li and Michael Simons. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE, Journal of Neuroscience, Advanced Science and Frontiers in Endocrinology.
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.