Yang Duan

1.0k citations
41 papers · 720 · h-index 15

Impact in

Papers in

Yang Duan

35 papers receiving 703 citations

Peers

Yang Duan
Comparison fields: 5 of 102
  • Pathology and Forensic Medicine 355
  • Neurology 156
  • Health Informatics 11
  • Neurology 67
  • Rheumatology 83
Replace Melissa Cambron with:
Melissa Cambron Belgium
Sirin Gandhi United States
Ran Harel Israel
Timm Oberwahrenbrock Germany
Jingjie Wang China
Sandy Patel Australia
Rahşan Göçmen Türkiye
Rosella Cavarretta Italy
Mário João Fartaria Switzerland
Suk-Won Ahn South Korea
Yang Duan relative to Melissa Cambron Belgium Melissa Cambron's profile →
Citations per field
00.5×3.7×
Melissa Cambron · 1×
Citations per year

Countries citing papers authored by Yang Duan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009177
2 2009107
3 201754
4 200940
5 201440
6 202234
7 200828
8 201726
9 202024
10 200922
11 202021
12 202318
13 201915
14 202215
15 202115
16 202111
17 20239
18 20239
19 20127
20 20217

About Yang Duan

Yang Duan is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Neurology, Pathology and Forensic Medicine and Neurology, having authored 41 papers that have together received 720 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (20 papers), Cerebrovascular and Carotid Artery Diseases (16 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Multiple Sclerosis Research Studies (5 papers), Brain Tumor Detection and Classification (4 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (355 citations), Neurology (156 citations), Health Informatics (11 citations), Neurology (67 citations) and Rheumatology (83 citations). Yang Duan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Rohit Bakshi, Charles R.G. Guttmann, Howard L. Weiner, Samia J. Khoury, Bonnie I. Glanz, Guy J. Buckle, Brian C. Healy, Lynn Stazzone, Benqiang Yang and Annika Berger. Their work appears in journals such as Frontiers in Neurology, Frontiers in Aging Neuroscience, American Journal of Neuroradiology, Computers in Biology and Medicine and Acta Radiologica.

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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