Hetao Bian

24 papers receiving 663 citations

Hetao Bian's Hit Papers

Prevalence of stroke in China, 2013–2019: A population-based study 2022 · 119 citations
1190+1+2Years since publication255075100

Peers

Hetao Bian
Comparison fields: 5 of 106
  • Biological Psychiatry 76
  • Neurology 137
  • Behavioral Neuroscience 35
  • Rehabilitation 54
  • Geriatrics and Gerontology 29
Replace Xiaoping Gu with:
Xiaoping Gu China
Ya-Shuo Feng China
Priya Balasubramanian United States
Zixuan Tan China
Gemma Comes Spain
Sophia Raefsky United States
Zhengtang Qi China
Kao‐Chang Lin Taiwan
Malika Winfield United States
Masudul Haque United States
Hetao Bian relative to Xiaoping Gu China Xiaoping Gu's profile →
Citations per field
00.5×3.9×
Xiaoping Gu · 1×
Citations per year

Countries citing papers authored by Hetao Bian

Since Specialization
Citations

This map shows the geographic impact of Hetao Bian'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 Hetao Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hetao Bian more than expected).

Fields of papers citing papers by Hetao Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hetao Bian. 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 Hetao Bian. The network helps show where Hetao Bian may publish in the future.

Co-authors

The 25 scholars most cited alongside Hetao Bian, 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 Hetao Bian Line = papers co-authored together Hetao Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of stroke in China, 2013–2019: A population-based study
Hit paper breakdown →
2022119
2 202085
3 201775
4 201454
5 201746
6 201842
7 201138
8 202029
9 201428
10 202221
11 201019
12 201419
13 202219
14 202214
15 202113
16 201111
17 20229
18 20229
19 20146
20 20175

About Hetao Bian

Hetao Bian is a scholar working on Neurology, Molecular Biology, Biological Psychiatry, Epidemiology and Neurology, having authored 24 papers that have together received 666 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Tryptophan and brain disorders (7 papers), Acute Ischemic Stroke Management (4 papers), Adenosine and Purinergic Signaling (3 papers), Stress Responses and Cortisol (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Mesenchymal stem cell research (2 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). The work is most often cited by research in Biological Psychiatry (76 citations), Neurology (137 citations), Behavioral Neuroscience (35 citations), Rehabilitation (54 citations) and Geriatrics and Gerontology (29 citations). Hetao Bian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gaohua Wang, John H. Zhang, Jiping Tang, Qin Hu, Huiling Wang, Ling Xiao, Junjie Huang, Hui Wang, Wen‐Jun Tu and Liang Liang. Their work appears in journals such as International Immunopharmacology, Stroke, Experimental Neurology, Scientific Reports and Journal of Cellular Biochemistry.

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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