Wei Yin
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Hematology top 2%
- Biomedical Engineering top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- David A. RubensteinBerhane GhebrehiwetEllinor I.B. PeerschkeJolyon JestyDanny BluesteinK. AffeldPeter L. PerrottaBiree Andemariam
- Topics
- Platelet Disorders and Treatments (17 papers)Antiplatelet Therapy and Cardiovascular Diseases (15 papers)Coronary Interventions and Diagnostics (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBiomaterials
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Wei Yin
109 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 147
- Surgery 537
- Cardiology and Cardiovascular Medicine 530
- Hematology 492
- Biomedical Engineering 446
- Pulmonary and Respiratory Medicine 327
Countries citing papers authored by Wei Yin
This map shows the geographic impact of Wei Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Yin more than expected).
Fields of papers citing papers by Wei Yin
This network shows the impact of papers produced by Wei Yin. 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 Yin. The network helps show where Wei Yin may publish in the future.
Co-authorship network of co-authors of Wei Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Yin. A scholar is included among the top collaborators of Wei Yin 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 Wei Yin. Wei Yin 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 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 27 | |
| 12 | Clinical significance of quantitative HER2 gene amplification as related to its predictive value in breast cancer patients in neoadjuvant setting | 2 |
| 13 | 20 | |
| 14 | 103 | |
| 15 | 52 | |
| 16 | 6 | |
| 17 | Clinical Analysis of Kawasaki Disease with Non-Responsiveness Immunoglobulin Therapy | 1 |
| 18 | 5 | |
| 19 | 56 | |
| 20 | 49 |
About Wei Yin
Wei Yin is a scholar working on Hematology, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 116 papers that have together received 2.4k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (17 papers), Antiplatelet Therapy and Cardiovascular Diseases (15 papers) and Coronary Interventions and Diagnostics (13 papers). The work is most often cited by research in Hematology (492 citations), Internal Medicine (99 citations) and Cardiology and Cardiovascular Medicine (530 citations). Wei Yin has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include David A. Rubenstein, Berhane Ghebrehiwet, Ellinor I.B. Peerschke, Jolyon Jesty, Danny Bluestein, K. Affeld, Peter L. Perrotta, Biree Andemariam, James B. Bussel and Yared Alemu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.
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.