Yining Ye
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in ⓘ
- Co-authors
- Douglas E. Schaubel (2 shared papers)John D. Kalbfleisch (2 shared papers)Jason Chesney (3 shared papers)Robert S. Coffin (3 shared papers)Robert Hans Ingemar Andtbacka (3 shared papers)Howard L. Kaufman (3 shared papers)Thomas Amatruda (3 shared papers)Neil Senzer (3 shared papers)
- Journals
- Journal of Clinical Oncology (8 papers)Biometrics (2 papers)Journal of Substance Abuse Treatment (1 paper)Cancer Research (1 paper)Buildings (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Yining Ye
31 papers receiving 685 citations
Peers
Comparison fields: 5 of 101
- Statistics and Probability 155
- Oncology 235
- Endocrine and Autonomic Systems 57
- Immunology 97
- Pulmonary and Respiratory Medicine 132
Countries citing papers authored by Yining Ye
This map shows the geographic impact of Yining Ye'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 Yining Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yining Ye more than expected).
Fields of papers citing papers by Yining Ye
This network shows the impact of papers produced by Yining Ye. 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 Yining Ye. The network helps show where Yining Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Yining Ye, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 107 | |
| 2 | 2008 | 93 | |
| 3 | 2013 | 91 | |
| 4 | 2013 | 62 | |
| 5 | 2005 | 51 | |
| 6 | 2009 | 44 | |
| 7 | 2014 | 36 | |
| 8 | 2012 | 35 | |
| 9 | 2013 | 27 | |
| 10 | 2024 | 16 | |
| 11 | 2007 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2024 | 13 | |
| 15 | 2006 | 13 | |
| 16 | 2012 | 11 | |
| 17 | 2007 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2014 | 5 |
About Yining Ye
Yining Ye is a scholar working on General Engineering, Statistics and Probability, Health Information Management, Oncology and Information Systems and Management, having authored 32 papers that have together received 703 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (9 papers), Lung Cancer Treatments and Mutations (5 papers), CAR-T cell therapy research (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Peptidase Inhibition and Analysis (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Statistics and Probability (155 citations), Oncology (235 citations), Endocrine and Autonomic Systems (57 citations), Immunology (97 citations) and Pulmonary and Respiratory Medicine (132 citations). Yining Ye has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Douglas E. Schaubel, John D. Kalbfleisch, Jason Chesney, Robert S. Coffin, Robert Hans Ingemar Andtbacka, Howard L. Kaufman, Thomas Amatruda, Neil Senzer, Igor Puzanov and Keith A. Delman. Their work appears in journals such as Journal of Clinical Oncology, Biometrics, Journal of Substance Abuse Treatment, Cancer Research and Buildings.
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.