Shuanglan Lin

451 total citations
18 papers, 288 citations indexed

About

Shuanglan Lin is a scholar working on Epidemiology, Psychiatry and Mental health and Rehabilitation. According to data from OpenAlex, Shuanglan Lin has authored 18 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Psychiatry and Mental health and 5 papers in Rehabilitation. Recurrent topics in Shuanglan Lin's work include Stroke Rehabilitation and Recovery (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Acute Ischemic Stroke Management (5 papers). Shuanglan Lin is often cited by papers focused on Stroke Rehabilitation and Recovery (5 papers), Dementia and Cognitive Impairment Research (5 papers) and Acute Ischemic Stroke Management (5 papers). Shuanglan Lin collaborates with scholars based in China, Australia and Hong Kong. Shuanglan Lin's co-authors include Jianrong Zhou, Yanhan Chen, Yang Liu, Diane Chamberlain, Lily Dongxia Xiao, Shiqi Xie, Qiang Tu, Yan‐Jiang Wang, Shahid Ullah and Ying‐Ying Shen and has published in prestigious journals such as American Journal of Epidemiology, BMC Public Health and Journal of Hypertension.

In The Last Decade

Shuanglan Lin

14 papers receiving 280 citations

Peers

Shuanglan Lin
Comparison fields: 5 of 69
  • Rehabilitation 106
  • Oncology 76
  • Epidemiology 69
  • Psychiatry and Mental health 60
  • General Health Professions 43
Replace Trefor Aspden with:
Trefor Aspden United Kingdom
Jorge Rios Canada
Nicole Rutkowski Canada
W Scaf-Klomp Netherlands
Yang Pu China
Amirreza Fatehi United States
Katsuko Kanagawa Japan
Leire Ambrosio Spain
Yuncui Wang China
Wenna Wang China
Trefor Aspden United Kingdom View profile →
Citations per field, relative to Shuanglan Lin
Shuanglan Lin · 1×
Citations per year, relative to Shuanglan Lin
Shuanglan Lin · 1×

Countries citing papers authored by Shuanglan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shuanglan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuanglan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shuanglan Lin. A scholar is included among the top collaborators of Shuanglan Lin 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 Shuanglan Lin. Shuanglan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 5
5 1
6 6
7 0
8 2
9 3
10 8
11 49
12 9
13 15
14 40
15 3
16 20
17 22
18 105

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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