Yuhong Wei
- Molecular Biology
- Immunology
- Strategy and Management
- Oncology
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Toshiyuki MatsuuraKozo KiyotaShujiro UrataCynthia G. GoodyerZakaria RhaniDaniela F. QuailMartin WabitschWen Zhang
- Topics
- Growth Hormone and Insulin-like Growth Factors (4 papers)Cancer Immunotherapy and Biomarkers (2 papers)Reproductive System and Pregnancy (2 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Yuhong Wei
13 papers receiving 183 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 60
- Immunology 39
- Strategy and Management 36
- Oncology 36
- General Economics, Econometrics and Finance 32
Countries citing papers authored by Yuhong Wei
This map shows the geographic impact of Yuhong Wei'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 Yuhong Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhong Wei more than expected).
Fields of papers citing papers by Yuhong Wei
This network shows the impact of papers produced by Yuhong Wei. 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 Yuhong Wei. The network helps show where Yuhong Wei may publish in the future.
Co-authorship network of co-authors of Yuhong Wei
This figure shows the co-authorship network connecting the top 25 collaborators of Yuhong Wei. A scholar is included among the top collaborators of Yuhong Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuhong Wei. Yuhong Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 27 | |
| 8 | 33 | |
| 9 | 23 | |
| 10 | Life tables of the experimental population of codling moth, Cydia pomonella (L.) at different temperatures. | 4 |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 49 | |
| 15 | 20 | |
| 16 | 7 |
About Yuhong Wei
Yuhong Wei is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Immunology, having authored 16 papers that have together received 191 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (32 citations), Strategy and Management (36 citations) and Immunology (39 citations). Yuhong Wei has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Toshiyuki Matsuura, Kozo Kiyota, Shujiro Urata, Cynthia G. Goodyer, Zakaria Rhani, Daniela F. Quail, Martin Wabitsch, Wen Zhang, Tillie‐Louise Hackett and Samuel Doré. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Clinical Endocrinology & Metabolism.
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.