He Wu
Impact in
- Neurology top 2%
- Intracerebral and Subarachnoid Hemorrhage Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Cancer Research top 10%
Papers in
-
- Kruppel-like factors research 6
- Heme Oxygenase-1 and Carbon Monoxide 4
- S100 Proteins and Annexins 3
- Neurology 18
- Intracerebral and Subarachnoid Hemorrhage Research 18
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Jian Wang (14 shared papers)Tao Wu (6 shared papers)Jiping Qi (15 shared papers)Qingwu Yang (3 shared papers)Ze Zhang (2 shared papers)Hong Lu (2 shared papers)Zhen Zhang (1 shared paper)Yuejia Song (6 shared papers)
- Journals
- Journal of Cerebral Blood Flow & Metabolism (3 papers)Oncotarget (3 papers)Blood (2 papers)Aging (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
He Wu
45 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 87
- Neurology 430
- Neurology 699
- Cancer Research 177
- Nephrology 75
- Immunology 203
Countries citing papers authored by He Wu
This map shows the geographic impact of He 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 He Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites He Wu more than expected).
Fields of papers citing papers by He Wu
This network shows the impact of papers produced by He 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 He Wu. The network helps show where He Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside He 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 221 | |
| 2 | 2010 | 157 | |
| 3 | 2007 | 90 | |
| 4 | 2018 | 84 | |
| 5 | 2011 | 82 | |
| 6 | 2016 | 77 | |
| 7 | 2015 | 69 | |
| 8 | 2010 | 64 | |
| 9 | 2014 | 64 | |
| 10 | 2018 | 62 | |
| 11 | 2015 | 62 | |
| 12 | 2010 | 60 | |
| 13 | 2011 | 59 | |
| 14 | 2016 | 48 | |
| 15 | 2016 | 45 | |
| 16 | 2011 | 41 | |
| 17 | 2015 | 37 | |
| 18 | 2016 | 34 | |
| 19 | 2020 | 28 | |
| 20 | 2023 | 24 |
About He Wu
He Wu is a scholar working on Molecular Biology, Neurology, Oncology, Cancer Research and Epidemiology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (18 papers), Kruppel-like factors research (6 papers), Immune cells in cancer (4 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Hepatitis B Virus Studies (3 papers), S100 Proteins and Annexins (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (430 citations), Neurology (699 citations), Cancer Research (177 citations), Nephrology (75 citations) and Immunology (203 citations). He Wu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jian Wang, Tao Wu, Jiping Qi, Qingwu Yang, Ze Zhang, Hong Lu, Zhen Zhang, Yuejia Song, Jessica Wang and Xueying Xu. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Oncotarget, Blood, Aging and International Immunopharmacology.
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.