Bin Yao

1.3k citations
40 papers · 1.0k indexed · h-index 17

Impact in

Papers in

Bin Yao

36 papers receiving 1.0k citations

Peers

Bin Yao
Comparison fields: 5 of 104
  • Neurology 153
  • Developmental Neuroscience 69
  • Cellular and Molecular Neuroscience 300
  • Pathology and Forensic Medicine 243
  • Neurology 173
Replace Åsa Sandelius with:
Åsa Sandelius Sweden
Jennifer D. Sokolowski United States
Reina Roivainen Finland
Haruhiko Sakamoto Japan
Stephanie Bonney United States
Koji Osuka Japan
Koen Poesen Belgium
Nithi Asavapanumas Thailand
Nicole A. Terpolilli Germany
Mir Ahamed Hossain United States
Bin Yao relative to Åsa Sandelius Sweden Åsa Sandelius's profile →
Citations per field
00.5×4.8×
Åsa Sandelius · 1×
Citations per year

Countries citing papers authored by Bin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20241
5 20236
6 20215
7 20197
8 20197
9 201546
10 201289
11 20111
12 2011280
13 200935
14 200763
15 20052
16 200580
17 20045
18 200442
19 200241
20 200159

About Bin Yao

Bin Yao is a scholar working on Cellular and Molecular Neuroscience, Cancer Research, Oncology, Neurology and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Angiogenesis and VEGF in Cancer (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (4 papers), Gene expression and cancer classification (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Acute Ischemic Stroke Management (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). The work is most often cited by research in Neurology (153 citations), Developmental Neuroscience (69 citations), Cellular and Molecular Neuroscience (300 citations), Pathology and Forensic Medicine (243 citations) and Neurology (173 citations). Bin Yao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jeffrey A. Loeb, Aashit Shah, J.H. Duyn, Hellmut Merkle, Peter van Gelderen, Francesca Bagnato, Simon Hametner, Hans Lassmann, Yuchuan Ding and Thomas Beaumont. Their work appears in journals such as Human Gene Therapy, Journal of Neuroinflammation, Neurological Research, Arteriosclerosis Thrombosis and Vascular Biology and Scientific Reports.

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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