Hong Wu
Impact in
- Transplantation top 5%
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 4
- Circular RNAs in diseases 4
-
- Prostate Cancer Treatment and Research 3
- Co-authors
- W B Malarkey (2 shared papers)Rathinasamy Sheela Devi (2 shared papers)Ann E. Jerse (1 shared paper)Steven J. Chadban (6 shared papers)Yongwen Qin (6 shared papers)Fayu Liu (5 shared papers)Changfu Sun (5 shared papers)Shan Jin (5 shared papers)
- Journals
- Pain Practice (4 papers)PM&R (4 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)American Journal of Transplantation (3 papers)Nephrology Dialysis Transplantation (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hong Wu
95 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Transplantation 64
- Cancer Research 231
- Anesthesiology and Pain Medicine 67
- Immunology 190
- Biological Psychiatry 20
Countries citing papers authored by Hong Wu
This map shows the geographic impact of Hong 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 Hong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Wu more than expected).
Fields of papers citing papers by Hong Wu
This network shows the impact of papers produced by Hong 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 Hong Wu. The network helps show where Hong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 216 | |
| 2 | 2000 | 74 | |
| 3 | 2008 | 70 | |
| 4 | 2011 | 61 | |
| 5 | 2013 | 61 | |
| 6 | 1999 | 60 | |
| 7 | 2012 | 54 | |
| 8 | 1996 | 53 | |
| 9 | 2010 | 53 | |
| 10 | 2006 | 52 | |
| 11 | 2006 | 49 | |
| 12 | 2007 | 42 | |
| 13 | 2015 | 42 | |
| 14 | 2017 | 39 | |
| 15 | 2005 | 37 | |
| 16 | 1996 | 37 | |
| 17 | 2019 | 34 | |
| 18 | 2015 | 33 | |
| 19 | Alternative pathways to prostate carcinoma activate prostate stem cell antigen expression. | 2001 | 32 |
| 20 | 2006 | 28 |
About Hong Wu
Hong Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Surgery, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Pain Management and Treatment (5 papers), Congenital Heart Disease Studies (5 papers), Head and Neck Cancer Studies (5 papers), RNA modifications and cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Circular RNAs in diseases (4 papers) and Prostate Cancer Treatment and Research (3 papers). The work is most often cited by research in Transplantation (64 citations), Cancer Research (231 citations), Anesthesiology and Pain Medicine (67 citations), Immunology (190 citations) and Biological Psychiatry (20 citations). Hong Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include W B Malarkey, Rathinasamy Sheela Devi, Ann E. Jerse, Steven J. Chadban, Yongwen Qin, Fayu Liu, Changfu Sun, Shan Jin, Anikó Szabó and Pai Pang. Their work appears in journals such as Pain Practice, PM&R, International Journal of Radiation Oncology*Biology*Physics, American Journal of Transplantation and Nephrology Dialysis Transplantation.
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.