Shen Yin
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology
- Co-authors
- Michael C. WeiLihua E. BuddeNancy L. BartlettSarit AssoulineAsad UmarJohn I. RisingerJ. Carl BarrettJ. Russell Lipford
- Topics
- CAR-T cell therapy research (14 papers)Lymphoma Diagnosis and Treatment (10 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Shen Yin
30 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 705
- Pathology and Forensic Medicine 631
- Molecular Biology 233
- Radiology, Nuclear Medicine and Imaging 224
- Immunology 195
Countries citing papers authored by Shen Yin
This map shows the geographic impact of Shen 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 Shen Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen Yin more than expected).
Fields of papers citing papers by Shen Yin
This network shows the impact of papers produced by Shen 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 Shen Yin. The network helps show where Shen Yin may publish in the future.
Co-authorship network of co-authors of Shen Yin
This figure shows the co-authorship network connecting the top 25 collaborators of Shen Yin. A scholar is included among the top collaborators of Shen 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 Shen Yin. Shen 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 | 1 | |
| 2 | 34 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 34 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 44 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 14 | |
| 13 | 8 | |
| 14 | Safety and efficacy of mosunetuzumab, a bispecific antibody, in patients with relapsed or refractory follicular lymphoma: a single-arm, multicentre, phase 2 studybreakdown → | 244 |
| 15 | 27 | |
| 16 | Mitochondria P-glycoprotein confers paclitaxel resistance on ovarian cancer cells | 1 |
| 17 | 44 | |
| 18 | 2 | |
| 19 | 21 | |
| 20 | 9 |
About Shen Yin
Shen Yin is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Lymphoma Diagnosis and Treatment (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (631 citations), Oncology (705 citations) and Genetics (129 citations). Shen Yin has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Michael C. Wei, Lihua E. Budde, Nancy L. Bartlett, Sarit Assouline, Asad Umar, John I. Risinger, J. Carl Barrett, J. Russell Lipford, Michael Kane and Jayne C. Boyer. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.