Yu‐Fang Pei

3.2k citations
80 papers · 1.9k indexed · 1 hit paper · h-index 23
Topics
Genetic Associations and Epidemiology (52 papers)Genetic and phenotypic traits in livestock (16 papers)Genetic Mapping and Diversity in Plants and Animals (13 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Yu‐Fang Pei

79 papers receiving 1.9k citations

Hit Papers

Causal Relationship Between Gut Microbiota and Autoimmune...2022202620232024202250100150

Peers

Yu‐Fang Pei
Comparison fields: 5 of 122
  • Molecular Biology 961
  • Genetics 868
  • Physiology 397
  • Orthopedics and Sports Medicine 223
  • Epidemiology 186
Replace Giovanni Federico with:
Giovanni Federico Italy
Bok‐Ghee Han South Korea
Lan‐Juan Zhao China
Neşe İmeryüz Türkiye
Alessandra Barassi Italy
M. Ardawi Saudi Arabia
Junli Ma China
Brett D. Mahon United States
Monica Froicu United States
Tea Skaaby Denmark
Yu‐Fang Pei relative to Giovanni Federico Italy Giovanni Federico's profile →
Citations per field
00.5×4.9×
Giovanni Federico · 1×
Citations per year

Countries citing papers authored by Yu‐Fang Pei

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Fang Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Fang Pei. 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 Yu‐Fang Pei. The network helps show where Yu‐Fang Pei may publish in the future.

Co-authorship network of co-authors of Yu‐Fang Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Fang Pei. A scholar is included among the top collaborators of Yu‐Fang Pei 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 Yu‐Fang Pei. Yu‐Fang Pei 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 1
3 7
4 10
5 159
6 2
7 19
8 4
9 52
10 12
11 11
12 10
13 9
14 18
15 62
16 10
17 7
18 23
19 12
20 50

About Yu‐Fang Pei

Yu‐Fang Pei is a scholar working on Genetics, Orthopedics and Sports Medicine and Life-span and Life-course Studies, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (52 papers), Genetic and phenotypic traits in livestock (16 papers) and Genetic Mapping and Diversity in Plants and Animals (13 papers). The work is most often cited by research in Genetics (868 citations), Orthopedics and Sports Medicine (223 citations) and Physiology (397 citations). Yu‐Fang Pei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Hong‐Wen Deng, Lei Zhang, Xin‐Tong Wei, Guijuan Feng, Christopher J. Papasian, Xiaolin Yang, Jing‐Jing Ni, Qian Xu, Bai‐Xue Han and Shanshan Yan. Their work appears in journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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