Jin Piao
Impact in
- Ophthalmology top 5%
- Ocular Oncology and Treatments
-
- Cutaneous Melanoma Detection and Management
- Cancer Immunotherapy and Biomarkers
Papers in
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- Sarcoma Diagnosis and Treatment 5
- Co-authors
- Jing Ning (16 shared papers)Mark Krailo (11 shared papers)Yong Chen (3 shared papers)Murali Chintagumpala (6 shared papers)Todd A. Alonzo (10 shared papers)Lauren Saguilig (10 shared papers)Carlos A. Torres‐Cabala (2 shared papers)Michael A. Davies (2 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Pediatric Blood & Cancer (4 papers)Clinical Cancer Research (2 papers)Journal of Pediatric Surgery (2 papers)Biometrics (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jin Piao
42 papers receiving 392 citations
Peers
Comparison fields: 5 of 69
- Ophthalmology 57
- Oncology 119
- Statistics and Probability 31
- Hepatology 22
- Cancer Research 42
Countries citing papers authored by Jin Piao
This map shows the geographic impact of Jin Piao'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 Piao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Piao more than expected).
Fields of papers citing papers by Jin Piao
This network shows the impact of papers produced by Jin Piao. 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 Piao. The network helps show where Jin Piao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Piao, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 41 | |
| 2 | 2016 | 38 | |
| 3 | 2016 | 38 | |
| 4 | 2021 | 25 | |
| 5 | 2022 | 24 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 20 | |
| 9 | 2017 | 14 | |
| 10 | 2019 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2018 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2012 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2023 | 5 |
About Jin Piao
Jin Piao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Statistics and Probability, Surgery and Neurology, having authored 49 papers that have together received 396 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (6 papers), Statistical Methods in Clinical Trials (6 papers), Statistical Methods and Inference (5 papers), Sarcoma Diagnosis and Treatment (5 papers), Testicular diseases and treatments (4 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers), Ocular Oncology and Treatments (4 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Ophthalmology (57 citations), Oncology (119 citations), Statistics and Probability (31 citations), Hepatology (22 citations) and Cancer Research (42 citations). Jin Piao has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jing Ning, Mark Krailo, Yong Chen, Murali Chintagumpala, Todd A. Alonzo, Lauren Saguilig, Carlos A. Torres‐Cabala, Michael A. Davies, Phyu P. Aung and Jinsong Liu. Their work appears in journals such as Journal of Clinical Oncology, Pediatric Blood & Cancer, Clinical Cancer Research, Journal of Pediatric Surgery and Biometrics.
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.