Kang-Hsien Fan

421 citations
23 papers · 188 indexed · h-index 9
Topics
Genetic Associations and Epidemiology (9 papers)Alzheimer's disease research and treatments (5 papers)Bioinformatics and Genomic Networks (4 papers)

In The Last Decade

Kang-Hsien Fan

19 papers receiving 184 citations

Peers

Kang-Hsien Fan
Comparison fields: 5 of 59
  • Genetics 72
  • Molecular Biology 66
  • Physiology 64
  • Immunology 33
  • Psychiatry and Mental health 30
Replace Jonathan L. Haines with:
Jonathan L. Haines United States
Patrick S. McGrath United States
Bouchra Ouled Amar Bencheikh Canada
Nunzia Mollo Italy
Stefan Macher Austria
Liling Dong China
Arda Çetinkaya Türkiye
Shanice Beerepoot Netherlands
Didem Ardıçlı Türkiye
Anh-Thu N. Lam United States
Kang-Hsien Fan relative to Jonathan L. Haines United States Jonathan L. Haines's profile →
Citations per field
00.5×10×15×20×23×
Jonathan L. Haines · 1×
Citations per year

Countries citing papers authored by Kang-Hsien Fan

Since Specialization
Citations

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

Fields of papers citing papers by Kang-Hsien Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang-Hsien Fan. 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 Kang-Hsien Fan. The network helps show where Kang-Hsien Fan may publish in the future.

Co-authorship network of co-authors of Kang-Hsien Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Kang-Hsien Fan. A scholar is included among the top collaborators of Kang-Hsien Fan 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 Kang-Hsien Fan. Kang-Hsien Fan 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 1
2 0
3 0
4 1
5 0
6 5
7 18
8 6
9 9
10 9
11 15
12 11
13 3
14 18
15 5
16 26
17
Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging
1
18 37
19 1
20 14

About Kang-Hsien Fan

Kang-Hsien Fan is a scholar working on Genetics, Physiology and Psychiatry and Mental health, having authored 23 papers that have together received 188 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Alzheimer's disease research and treatments (5 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Genetics (72 citations), Physiology (64 citations) and Psychiatry and Mental health (30 citations). Kang-Hsien Fan has collaborated with scholars based in United States, Pakistan and China. Frequent co-authors include M. Ilyas Kamboh, Eleanor Feingold, F. Yesim Demirci, Muhammad Aslam, Beth E. Snitz, Oscar L. López, Attya Bhatti, Peter John, Xingbin Wang and Qi Yan. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026