Pei-Fang Su

46 total papers · 2.7k total citations
41 papers, 678 citations indexed

About

Pei-Fang Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pei-Fang Su has authored 41 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pei-Fang Su's work include Gene expression and cancer classification (2 papers), Bayesian Methods and Mixture Models (2 papers) and Cancer-related molecular mechanisms research (2 papers). Pei-Fang Su is often cited by papers focused on Gene expression and cancer classification (2 papers), Bayesian Methods and Mixture Models (2 papers) and Cancer-related molecular mechanisms research (2 papers). Pei-Fang Su collaborates with scholars based in Taiwan, United States and Hong Kong. Pei-Fang Su's co-authors include Yu Shyr, Huang‐Tz Ou, Shihchen Kuo, Chung-I Li, Chung-Ta Lee, Nan-Haw Chow, Shao-Chieh Lin, Chuan-Mo Lee, Jing‐Houng Wang and Chien‐Hung Chen and has published in prestigious journals such as Nature, PLoS ONE and Diabetes Care.

In The Last Decade

Pei-Fang Su

41 papers receiving 671 citations

Author Peers

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

Author						Papers	Cites
Pei-Fang Su	243	118	115	71	58	41	678
Wen Wen	235 1.0×	115 1.0×	108 0.9×	59 0.8×	107 1.8×	44	720
Hala M. Raslan	119 0.5×	63 0.5×	91 0.8×	77 1.1×	33 0.6×	47	614
Xiaohan Xu	133 0.5×	61 0.5×	207 1.8×	70 1.0×	37 0.6×	41	704
Jing Shao	299 1.2×	42 0.4×	113 1.0×	78 1.1×	63 1.1×	43	651
Rebecca L. McCullough	221 0.9×	73 0.6×	248 2.2×	43 0.6×	40 0.7×	33	594
Jie Zhang	175 0.7×	70 0.6×	171 1.5×	125 1.8×	85 1.5×	58	735
Renqiang Yang	277 1.1×	56 0.5×	147 1.3×	71 1.0×	120 2.1×	39	628
Yan Yang	212 0.9×	52 0.4×	172 1.5×	42 0.6×	105 1.8×	43	622
Hüseyin Kayadibi	152 0.6×	57 0.5×	169 1.5×	62 0.9×	25 0.4×	50	555
Shuling Liu	128 0.5×	133 1.1×	175 1.5×	39 0.5×	26 0.4×	36	658

Countries citing papers authored by Pei-Fang Su

Since Specialization

Citations

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

Fields of papers citing papers by Pei-Fang Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei-Fang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Fang Su. A scholar is included among the top collaborators of Pei-Fang Su 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 Pei-Fang Su. Pei-Fang Su 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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