Hongyu Wu
Impact in
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 8
- RNA modifications and cancer 6
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- Prostate Cancer Treatment and Research 10
- Prostate Cancer Diagnosis and Treatment 10
- Co-authors
- Frank B. Hu (10 shared papers)Qi Sun (9 shared papers)David G. McLeod (10 shared papers)Judd W. Moul (10 shared papers)Douglas W. Soderdahl (9 shared papers)Leo Kusuda (9 shared papers)Leon Sun (9 shared papers)Timothy F. Donahue (8 shared papers)
- Journals
- PLoS ONE (7 papers)International Journal of Molecular Sciences (4 papers)Journal of Medicinal Chemistry (3 papers)Obesity (3 papers)The Journal of Urology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hongyu Wu
143 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 174
- Pulmonary and Respiratory Medicine 1.1k
- Cancer Research 473
- Endocrinology, Diabetes and Metabolism 376
- Oncology 471
- Physiology 414
Countries citing papers authored by Hongyu Wu
This map shows the geographic impact of Hongyu 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 Hongyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyu Wu more than expected).
Fields of papers citing papers by Hongyu Wu
This network shows the impact of papers produced by Hongyu 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 Hongyu Wu. The network helps show where Hongyu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongyu 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
Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 231 | |
| 2 | 2010 | 223 | |
| 3 | 2004 | 176 | |
| 4 | 2012 | 154 | |
| 5 | 2015 | 144 | |
| 6 | 2008 | 139 | |
| 7 | 2006 | 96 | |
| 8 | 2019 | 89 | |
| 9 | 2002 | 88 | |
| 10 | 2009 | 88 | |
| 11 | 2017 | 77 | |
| 12 | 2013 | 65 | |
| 13 | 2003 | 65 | |
| 14 | 2020 | 63 | |
| 15 | 2020 | 60 | |
| 16 | 2016 | 59 | |
| 17 | 2002 | 58 | |
| 18 | 2019 | 57 | |
| 19 | 2016 | 55 | |
| 20 | 2014 | 54 |
About Hongyu Wu
Hongyu Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Plant Science, Oncology and Cancer Research, having authored 156 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Prostate Cancer Treatment and Research (10 papers), Prostate Cancer Diagnosis and Treatment (10 papers), Circular RNAs in diseases (8 papers), Pancreatic and Hepatic Oncology Research (8 papers), MicroRNA in disease regulation (7 papers), Plant Molecular Biology Research (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cancer Research (473 citations), Endocrinology, Diabetes and Metabolism (376 citations), Oncology (471 citations) and Physiology (414 citations). Hongyu Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Frank B. Hu, Qi Sun, David G. McLeod, Judd W. Moul, Douglas W. Soderdahl, Leo Kusuda, Leon Sun, Timothy F. Donahue, Christopher L. Amling and Andrew Chung. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Journal of Medicinal Chemistry, Obesity and The Journal of Urology.
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.