Shu Wan

1.7k total citations · 1 hit paper
38 papers, 901 citations indexed

About

Shu Wan is a scholar working on Neurology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shu Wan has authored 38 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 15 papers in Epidemiology and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shu Wan's work include Acute Ischemic Stroke Management (11 papers), Cerebrovascular and Carotid Artery Diseases (9 papers) and Intracranial Aneurysms: Treatment and Complications (8 papers). Shu Wan is often cited by papers focused on Acute Ischemic Stroke Management (11 papers), Cerebrovascular and Carotid Artery Diseases (9 papers) and Intracranial Aneurysms: Treatment and Complications (8 papers). Shu Wan collaborates with scholars based in China, United States and Germany. Shu Wan's co-authors include Lei Zhang, Yao Fan, Long Zhang, Fangfang Zhou, Xiang Li, Cong Cao, Gang Hu, Wen‐Ming Chu, BI Zhi-gang and Nicola Kouttab and has published in prestigious journals such as Scientific Reports, Biochemical Journal and Journal of Cellular Physiology.

In The Last Decade

Shu Wan

29 papers receiving 881 citations

Hit Papers

SARS-CoV-2 Omicron variant: recent progress and future pe... 2022 2026 2023 2024 2022 100 200 300

Peers

Shu Wan
Comparison fields: 5 of 117
  • Infectious Diseases 331
  • Molecular Biology 247
  • Neurology 135
  • Epidemiology 106
  • Pulmonary and Respiratory Medicine 101
Replace Dandan Wu with:
Dandan Wu China
Edith Willscher Germany
Dolores López Spain
Soeren Lukassen Germany
Andréa Novais Moreno-Amaral Brazil
Denise Goh Singapore
Kévin Berthenet France
Jeanne M. Sisk United States
Astrid Hagelkrüys Austria
Dandan Wu China View profile →
Citations per field, relative to Shu Wan
Shu Wan · 1×
Citations per year, relative to Shu Wan
Shu Wan · 1×

Countries citing papers authored by Shu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Shu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Wan. A scholar is included among the top collaborators of Shu Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shu Wan. Shu Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 2
6 0
7 0
8 11
9 11
10
SARS-CoV-2 Omicron variant: recent progress and future perspectives breakdown →
351
11 8
12 4
13 82
14 4
15 23
16 9
17 56
18 0
19 2
20 85

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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