Yu‐Fang Pei

110 total papers · 3.1k total citations
80 papers, 1.9k citations indexed

About

Yu‐Fang Pei is a scholar working on Genetics, Molecular Biology and Orthopedics and Sports Medicine. According to data from OpenAlex, Yu‐Fang Pei has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Genetics, 35 papers in Molecular Biology and 11 papers in Orthopedics and Sports Medicine. Recurrent topics in Yu‐Fang Pei's 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). Yu‐Fang Pei is often cited by papers focused on 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). Yu‐Fang Pei collaborates with scholars based in China, United States and Taiwan. Yu‐Fang Pei's co-authors include Lei Zhang, Hong‐Wen Deng, Xin‐Tong Wei, Guijuan Feng, Christopher J. Papasian, Xiaolin Yang, Qian Xu, Jing‐Jing Ni, Bai‐Xue Han and Shanshan Yan and has published in prestigious journals such as Bioinformatics, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Yu‐Fang Pei

79 papers receiving 1.9k citations

Hit Papers

Causal Relationship Betwe... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yu‐Fang Pei 953 865 393 221 185 80 1.9k
Sofia Movérare‐Skrtic 915 1.0× 637 0.7× 381 1.0× 333 1.5× 162 0.9× 62 1.9k
Elin Grundberg 1.1k 1.1× 640 0.7× 298 0.8× 219 1.0× 122 0.7× 65 2.2k
Marie K. Lagerquist 1.4k 1.4× 926 1.1× 323 0.8× 519 2.3× 121 0.7× 76 2.7k
Lan‐Juan Zhao 946 1.0× 396 0.5× 404 1.0× 576 2.6× 275 1.5× 87 2.2k
Andreas Kindmark 931 1.0× 1.1k 1.3× 219 0.6× 479 2.2× 217 1.2× 78 2.8k
Vincenzo Forgetta 684 0.7× 862 1.0× 190 0.5× 140 0.6× 312 1.7× 68 2.6k
Wilma T. Steegenga 1.8k 1.9× 413 0.5× 386 1.0× 90 0.4× 155 0.8× 54 2.7k
Ulrika Islander 731 0.8× 437 0.5× 159 0.4× 174 0.8× 79 0.4× 56 1.7k
Giovanni Federico 485 0.5× 363 0.4× 239 0.6× 263 1.2× 274 1.5× 102 2.1k
James D. Jones 541 0.6× 205 0.2× 352 0.9× 293 1.3× 139 0.8× 68 2.1k

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

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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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