Su‐Lan Liao

4.6k citations
99 papers · 3.7k indexed · h-index 38
Topics
Neuroinflammation and Neurodegeneration Mechanisms (36 papers)Neuroscience and Neuropharmacology Research (13 papers)Mosquito-borne diseases and control (11 papers)
Partner nations
TaiwanChinaUnited States

In The Last Decade

Su‐Lan Liao

96 papers receiving 3.7k citations

Peers

Su‐Lan Liao
Comparison fields: 5 of 130
  • Molecular Biology 1.0k
  • Neurology 975
  • Cellular and Molecular Neuroscience 660
  • Public Health, Environmental and Occupational Health 420
  • Immunology 408
Replace Irene Paterniti with:
Irene Paterniti Italy
Jin Zeng China
Won-Ki Kim South Korea
Weiwei Hu China
Ileana Giambanco Italy
Dan Zhang China
Luca Cucullo United States
Björn Bauer United States
Siti R. Yusof Malaysia
Su‐Lan Liao relative to Irene Paterniti Italy Irene Paterniti's profile →
Citations per field
00.5×3.0×
Irene Paterniti · 1×
Citations per year

Countries citing papers authored by Su‐Lan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Lan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Lan Liao. 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 Su‐Lan Liao. The network helps show where Su‐Lan Liao may publish in the future.

Co-authorship network of co-authors of Su‐Lan Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Lan Liao. A scholar is included among the top collaborators of Su‐Lan Liao 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 Su‐Lan Liao. Su‐Lan Liao 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 2
2 0
3 2
4 13
5 12
6 25
7 1
8 35
9 111
10 31
11 88
12 18
13 17
14 17
15 65
16 15
17 48
18 50
19 133
20
Magnetoresistance Study in Co-Cr Superlattices and Films
5

About Su‐Lan Liao

Su‐Lan Liao is a scholar working on Neurology, Biological Psychiatry and Developmental Neuroscience, having authored 99 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (36 papers), Neuroscience and Neuropharmacology Research (13 papers) and Mosquito-borne diseases and control (11 papers). The work is most often cited by research in Neurology (975 citations), Developmental Neuroscience (221 citations) and Biological Psychiatry (111 citations). Su‐Lan Liao has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chun‐Jung Chen, Shue‐Ling Raung, Yen‐Chuan Ou, Wen‐Ying Chen, Cheng-Yi Chang, Chun‐Jung Chen, Wen‐Yin Chen, Shih‐Yi Lin, Shih‐Yun Chen and Chun‐Jung Chen. Their work appears in journals such as Physical review. B, Condensed matter, PLoS ONE and Journal of Applied Physics.

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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