He Wu

2.1k citations
48 papers · 1.6k · h-index 21

Impact in

  • Neurology top 1%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Kruppel-like factors research 6
    • Heme Oxygenase-1 and Carbon Monoxide 4
    • Intracerebral and Subarachnoid Hemorrhage Research 17
    • Neuroinflammation and Neurodegeneration Mechanisms 3

He Wu

46 papers receiving 1.6k citations

Peers

He Wu
Comparison fields: 5 of 83
  • Neurology 697
  • Neurology 391
  • Cancer Research 151
  • Nephrology 64
  • Genetics 95
Replace Yideng Liang with:
Yideng Liang United States
Anna Peñalba Spain
Enming J. Su United States
Arantxa Ortega‐Aznar Spain
Ruidong Ye China
Chuanzhi Duan China
Xiao‐Yi Xiong China
Zongduo Guo China
Keisuke Ishizawa Japan
Honglu Chao China
He Wu relative to Yideng Liang United States Yideng Liang's profile →
Citations per field
00.5×3.1×
Yideng Liang · 1×
Citations per year

Countries citing papers authored by He Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with He Wu Line = papers co-authored together He Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016229
2 2010162
3 200798
4 201188
5 201886
6 201678
7 201574
8 201467
9 201866
10 201065
11 201563
12 201062
13 201160
14 201653
15 201646
16 201141
17 201537
18 201634
19 202029
20 202328

About He Wu

He Wu is a scholar working on Molecular Biology, Neurology, Oncology, Immunology and Epidemiology, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (17 papers), Kruppel-like factors research (6 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), Immune cells in cancer (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Hepatitis B Virus Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Neurology (697 citations), Neurology (391 citations), Cancer Research (151 citations), Nephrology (64 citations) and Genetics (95 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, Xueying Xu and Jessica Wang. Their work appears in journals such as Oncotarget, Journal of Cerebral Blood Flow & Metabolism, Blood, International Immunopharmacology and Aging.

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.

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