Kuo‐Lun Huang

1.3k citations
68 papers · 868 indexed · h-index 18
Topics
Cerebrovascular and Carotid Artery Diseases (23 papers)Alzheimer's disease research and treatments (18 papers)Dementia and Cognitive Impairment Research (18 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Kuo‐Lun Huang

66 papers receiving 859 citations

Peers

Kuo‐Lun Huang
Comparison fields: 5 of 101
  • Pulmonary and Respiratory Medicine 241
  • Neurology 234
  • Physiology 217
  • Epidemiology 175
  • Psychiatry and Mental health 172
Replace Bibek Gyanwali with:
Bibek Gyanwali Singapore
Shu‐Hua Huang Taiwan
Karim Farid France
Gudrun Roob Austria
Jin San Lee South Korea
M.-L. Gross Germany
Xu Yang China
Shih‐Wei Hsu Taiwan
Matthias Wittstock Germany
Luı́s Cunha Portugal
Kuo‐Lun Huang relative to Bibek Gyanwali Singapore Bibek Gyanwali's profile →
Citations per field
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Bibek Gyanwali · 1×
Citations per year

Countries citing papers authored by Kuo‐Lun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Lun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo‐Lun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Lun Huang. A scholar is included among the top collaborators of Kuo‐Lun 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 Kuo‐Lun Huang. Kuo‐Lun 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
#WorkIndexed citations
1 4
2 0
3 2
4 3
5 7
6 7
7 9
8 4
9 3
10 6
11 7
12 28
13 9
14 3
15 17
16 6
17
Differential trajectory of functional recovery and determinants for first time stroke survivors by using a LCGA approach: a hospital based analysis over a 1-year period.
13
18 7
19 11
20 44

About Kuo‐Lun Huang

Kuo‐Lun Huang is a scholar working on Psychiatry and Mental health, Neurology and Neurology, having authored 68 papers that have together received 868 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (23 papers), Alzheimer's disease research and treatments (18 papers) and Dementia and Cognitive Impairment Research (18 papers). The work is most often cited by research in Neurology (150 citations), Neurology (234 citations) and Psychiatry and Mental health (172 citations). Kuo‐Lun Huang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ting‐Yu Chang, Tsong‐Hai Lee, Chi‐Hung Liu, Kun‐Ju Lin, Tzu‐Chen Yen, Chin‐Chang Huang, Ing‐Tsung Hsiao, Shiaw‐Pyng Wey, M.-Y. Ho and Chien-Hung Chang. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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