Sue‐Min Lai

3.7k total citations
49 papers, 2.9k citations indexed

About

Sue‐Min Lai is a scholar working on Epidemiology, Rehabilitation and Surgery. According to data from OpenAlex, Sue‐Min Lai has authored 49 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 17 papers in Rehabilitation and 11 papers in Surgery. Recurrent topics in Sue‐Min Lai's work include Stroke Rehabilitation and Recovery (16 papers), Acute Ischemic Stroke Management (16 papers) and Scoliosis diagnosis and treatment (10 papers). Sue‐Min Lai is often cited by papers focused on Stroke Rehabilitation and Recovery (16 papers), Acute Ischemic Stroke Management (16 papers) and Scoliosis diagnosis and treatment (10 papers). Sue‐Min Lai collaborates with scholars based in United States, Taiwan and Netherlands. Sue‐Min Lai's co-authors include Pamela W. Duncan, Stephanie A. Studenski, Subashan Perera, John Keighley, Marc A. Asher, Douglas C. Burton, Stephanie Studenski, Atul T. Patel, Lorie Richards and Craig A. Velozo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Cancer.

In The Last Decade

Sue‐Min Lai

49 papers receiving 2.8k citations

Peers

Sue‐Min Lai
Comparison fields: 5 of 143
  • Rehabilitation 1.3k
  • Epidemiology 820
  • Psychiatry and Mental health 595
  • Surgery 577
  • Neurology 439
Replace William Stiers with:
William Stiers United States
Tsan‐Hon Liou Taiwan
Granger Cv United States
C V Granger United States
Julie Moreland Canada
Sharon Kramer Australia
Glen E. Gresham United States
Carlotte Kiekens Italy
Swati Mehta Canada
Erik Hendriks Netherlands
William Stiers United States View profile →
Citations per field, relative to Sue‐Min Lai
Sue‐Min Lai · 1×
Citations per year, relative to Sue‐Min Lai
Sue‐Min Lai · 1×

Countries citing papers authored by Sue‐Min Lai

Since Specialization
Citations

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

Fields of papers citing papers by Sue‐Min Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue‐Min Lai. 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 Sue‐Min Lai. The network helps show where Sue‐Min Lai may publish in the future.

Co-authorship network of co-authors of Sue‐Min Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Sue‐Min Lai. A scholar is included among the top collaborators of Sue‐Min Lai 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 Sue‐Min Lai. Sue‐Min Lai 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 38
2 5
3 13
4 4
5 19
6 11
7 76
8 122
9 20
10 19
11 93
12 45
13
PEER REVIEWED: Sex Differences in Stroke Recovery
2
14 112
15 106
16 218
17 128
18 52
19 41
20 32

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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