Jin Y. Jin
- Oncology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Statistics and Probability top 2%
- Immunology
- Co-authors
- William J. JuskoDebra C. DuBoisRichard R. AlmonSandhya GirishRené BrunoNageshwar BudhaSravanthi CheetiChunze Li
- Topics
- HER2/EGFR in Cancer Research (20 papers)Monoclonal and Polyclonal Antibodies Research (20 papers)Statistical Methods in Clinical Trials (19 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Jin Y. Jin
93 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 119
- Oncology 732
- Molecular Biology 538
- Radiology, Nuclear Medicine and Imaging 384
- Statistics and Probability 210
- Immunology 204
Countries citing papers authored by Jin Y. Jin
This map shows the geographic impact of Jin Y. Jin'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 Jin Y. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Y. Jin more than expected).
Fields of papers citing papers by Jin Y. Jin
This network shows the impact of papers produced by Jin Y. Jin. 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 Jin Y. Jin. The network helps show where Jin Y. Jin may publish in the future.
Co-authorship network of co-authors of Jin Y. Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Y. Jin. A scholar is included among the top collaborators of Jin Y. Jin 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 Jin Y. Jin. Jin Y. Jin 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 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 24 | |
| 15 | 24 | |
| 16 | 61 | |
| 17 | 62 | |
| 18 | 53 | |
| 19 | 97 | |
| 20 | 74 |
About Jin Y. Jin
Jin Y. Jin is a scholar working on Statistics and Probability, Oncology and Modeling and Simulation, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (20 papers), Monoclonal and Polyclonal Antibodies Research (20 papers) and Statistical Methods in Clinical Trials (19 papers). The work is most often cited by research in Oncology (732 citations), Statistics and Probability (210 citations) and Pharmacology (197 citations). Jin Y. Jin has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include William J. Jusko, Debra C. DuBois, Richard R. Almon, Sandhya Girish, René Bruno, Nageshwar Budha, Sravanthi Cheeti, Chunze Li, Mark J. Dresser and Bert L. Lum. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer Research.
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.