Lian Huang

2.1k total citations · 1 hit paper
58 papers, 1.3k citations indexed

About

Lian Huang is a scholar working on Epidemiology, Neurology and Molecular Biology. According to data from OpenAlex, Lian Huang has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 15 papers in Neurology and 14 papers in Molecular Biology. Recurrent topics in Lian Huang's work include Acute Ischemic Stroke Management (20 papers), Cerebrovascular and Carotid Artery Diseases (13 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Lian Huang is often cited by papers focused on Acute Ischemic Stroke Management (20 papers), Cerebrovascular and Carotid Artery Diseases (13 papers) and Venous Thromboembolism Diagnosis and Management (9 papers). Lian Huang collaborates with scholars based in China, Hong Kong and United States. Lian Huang's co-authors include Liping Liu, Yongjun Wang, Weiqi Chen, Xiaomei Xie, Li Li, Lijun Yao, Liyan Wang, Zhiqin Wu, Deming Gou and Yiwen Ruan and has published in prestigious journals such as Circulation, Circulation Research and Scientific Reports.

In The Last Decade

Lian Huang

46 papers receiving 1.3k citations

Hit Papers

Chinese Stroke Association guidelines for clinical manage... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Lian Huang
Comparison fields: 5 of 124
  • Epidemiology 413
  • Molecular Biology 317
  • Neurology 282
  • Cardiology and Cardiovascular Medicine 245
  • Pulmonary and Respiratory Medicine 208
Replace Jiahui Wu with:
Jiahui Wu China
Maria Angela Incalza Italy
Cheng Huang China
Salunya Tancharoen Thailand
Gudrun Mirick United States
Hao Xu China
Caroline Maria Oliveira Volpe Brazil
Rongrong Li China
George-Angelo Papamikroulis Greece
Jiahui Wu China View profile →
Citations per field, relative to Lian Huang
Lian Huang · 1×
Citations per year, relative to Lian Huang
Lian Huang · 1×

Countries citing papers authored by Lian Huang

Since Specialization
Citations

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

Fields of papers citing papers by Lian Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lian Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Lian Huang. A scholar is included among the top collaborators of Lian Huang 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 Lian Huang. Lian Huang 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 4
2 0
3 0
4 0
5 5
6 1
7 0
8 0
9 8
10 0
11 10
12 84
13 14
14 11
15 6
16 19
17
Chinese Stroke Association guidelines for clinical management of cerebrovascular disorders: executive summary and 2019 update of clinical management of ischaemic cerebrovascular diseases breakdown →
213
18 35
19 126
20 21

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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