Jianrong Wu
- Neurology top 1%
- Neuroblastoma Research and Treatments 36
- Oncology top 2%
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- Sarcoma Diagnosis and Treatment 34
- Cancer Research top 5%
- Genetics top 2%
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- Statistical Methods in Clinical Trials 22
- Statistical Methods and Inference 12
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- Cancer therapeutics and mechanisms 17
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- Bone Tumor Diagnosis and Treatments 14
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- Optimal Experimental Design Methods 14
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- Lymphoma Diagnosis and Treatment 13
- Co-authors
- Peter J. HoughtonCatherine A. BillupsMalcolm A. SmithJohn M. MarisStephen T. KeirE. Anders KolbNajat C. DawC. Patrick Reynolds
- Journals
- JAMA (1 paper)Journal of Clinical Oncology (16 papers)Journal of the American Statistical Association (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Jianrong Wu
156 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 140
- Neurology 991
- Oncology 1.4k
- Pulmonary and Respiratory Medicine 1.6k
- Cancer Research 571
- Genetics 389
Countries citing papers authored by Jianrong Wu
This map shows the geographic impact of Jianrong Wu'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 Jianrong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianrong Wu more than expected).
Fields of papers citing papers by Jianrong Wu
This network shows the impact of papers produced by Jianrong Wu. 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 Jianrong Wu. The network helps show where Jianrong Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianrong Wu, 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 | 2020 | 5 | |
| 2 | 2017 | 114 | |
| 3 | 2016 | 5 | |
| 4 | 2016 | 24 | |
| 5 | 2016 | 10 | |
| 6 | 2015 | 30 | |
| 7 | 2015 | 26 | |
| 8 | 2014 | 40 | |
| 9 | 2014 | 17 | |
| 10 | 2012 | 78 | |
| 11 | 2011 | 24 | |
| 12 | 2011 | 44 | |
| 13 | 2011 | 91 | |
| 14 | 2009 | 26 | |
| 15 | 2008 | 73 | |
| 16 | 2008 | 8 | |
| 17 | 2007 | 98 | |
| 18 | 2007 | 99 | |
| 19 | 2006 | 68 | |
| 20 | 2002 | 41 |
About Jianrong Wu
Jianrong Wu is a scholar working on Statistics and Probability, Neurology and Pulmonary and Respiratory Medicine, having authored 158 papers that have together received 4.5k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (36 papers), Sarcoma Diagnosis and Treatment (34 papers), Statistical Methods in Clinical Trials (22 papers), Cancer therapeutics and mechanisms (17 papers), Bone Tumor Diagnosis and Treatments (14 papers), Optimal Experimental Design Methods (14 papers), Lymphoma Diagnosis and Treatment (13 papers) and Statistical Methods and Inference (12 papers). The work is most often cited by research in Neurology (991 citations), Oncology (1.4k citations) and Pulmonary and Respiratory Medicine (1.6k citations). Jianrong Wu has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Peter J. Houghton, Catherine A. Billups, Malcolm A. Smith, John M. Maris, Stephen T. Keir, E. Anders Kolb, Najat C. Daw, C. Patrick Reynolds, Christopher L. Morton and Richard Görlick. Their work appears in journals such as JAMA, Journal of Clinical Oncology and Journal of the American Statistical Association.
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.