Xiaoyu Jia
- Transplantation top 2%
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research 4
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 5
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- Prostate Cancer Treatment and Research 8
- Renal cell carcinoma treatment 5
- Sarcoma Diagnosis and Treatment 5
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- Machine Learning in Healthcare 5
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- Statistical Methods in Clinical Trials 4
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- Testicular diseases and treatments 4
- Co-authors
- Glenn HellerHoward I. ScherMartin FleisherJohann S. de BonoDerek RaghavanKenneth J. PientaM. FruscioneEthan Basch
- Journals
- Journal of Clinical Oncology (11 papers)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Xiaoyu Jia
62 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Transplantation 213
- Oncology 1.4k
- Cancer Research 730
- Pulmonary and Respiratory Medicine 1.4k
- Radiology, Nuclear Medicine and Imaging 415
Countries citing papers authored by Xiaoyu Jia
This map shows the geographic impact of Xiaoyu Jia'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 Xiaoyu Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Jia more than expected).
Fields of papers citing papers by Xiaoyu Jia
This network shows the impact of papers produced by Xiaoyu Jia. 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 Xiaoyu Jia. The network helps show where Xiaoyu Jia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoyu Jia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 27 | |
| 5 | 2022 | 59 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 9 | |
| 8 | 2019 | 3 | |
| 9 | 2017 | 2 | |
| 10 | 2015 | 294 | |
| 11 | 2014 | 30 | |
| 12 | 2013 | 41 | |
| 13 | 2012 | 37 | |
| 14 | 2012 | 89 | |
| 15 | 2011 | 76 | |
| 16 | 2011 | 119 | |
| 17 | 2010 | 70 | |
| 18 | 2010 | 71 | |
| 19 | Adverse Symptom Event Reporting by Patients vs Clinicians: Relationships With Clinical Outcomesbreakdown → | 2009 | 480 |
| 20 | 2007 | 142 |
About Xiaoyu Jia
Xiaoyu Jia is a scholar working on Transplantation, Statistics and Probability and Oncology, having authored 65 papers that have together received 3.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (8 papers), Renal cell carcinoma treatment (5 papers), Cancer Genomics and Diagnostics (5 papers), Sarcoma Diagnosis and Treatment (5 papers), Machine Learning in Healthcare (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Statistical Methods in Clinical Trials (4 papers) and Testicular diseases and treatments (4 papers). The work is most often cited by research in Transplantation (213 citations), Oncology (1.4k citations) and Cancer Research (730 citations). Xiaoyu Jia has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Glenn Heller, Howard I. Scher, Martin Fleisher, Johann S. de Bono, Derek Raghavan, Kenneth J. Pienta, M. Fruscione, Ethan Basch, Laura Sit and Friedrich K. Port. 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.