Hui‐Chin Peng

35 total papers · 867 total citations
29 papers, 738 citations indexed

About

Hui‐Chin Peng is a scholar working on Genetics, Hematology and Immunology and Allergy. According to data from OpenAlex, Hui‐Chin Peng has authored 29 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 16 papers in Hematology and 11 papers in Immunology and Allergy. Recurrent topics in Hui‐Chin Peng's work include Venomous Animal Envenomation and Studies (16 papers), Platelet Disorders and Treatments (14 papers) and Cell Adhesion Molecules Research (11 papers). Hui‐Chin Peng is often cited by papers focused on Venomous Animal Envenomation and Studies (16 papers), Platelet Disorders and Treatments (14 papers) and Cell Adhesion Molecules Research (11 papers). Hui‐Chin Peng collaborates with scholars based in Taiwan, United States and China. Hui‐Chin Peng's co-authors include Tur‐Fu Huang, Wen‐Bin Wu, Ching‐Hu Chung, Rong‐Sen Yang, Shyh‐Chyi Lo, Chun‐Chieh Hsu, Dong‐Tsamn Lin, Chaoho Ouyang, Che‐Ming Teng and Chien‐Hsin Chang and has published in prestigious journals such as Blood, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Hui‐Chin Peng

29 papers receiving 729 citations

Author Peers

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

Author						Papers	Cites
Hui‐Chin Peng	374	307	259	154	103	29	738
Jui‐Lan Su	418 1.1×	154 0.5×	99 0.4×	38 0.2×	86 0.8×	21	841
M. Anna Kowalska	179 0.5×	127 0.4×	121 0.5×	317 2.1×	111 1.1×	19	627
R Bredehorst	300 0.8×	120 0.4×	142 0.5×	52 0.3×	339 3.3×	32	887
Philip A. Klenotic	520 1.4×	167 0.5×	63 0.2×	35 0.2×	158 1.5×	27	909
Susan Gidwitz	227 0.6×	103 0.3×	179 0.7×	264 1.7×	75 0.7×	14	650
Brian J. Aneskievich	421 1.1×	100 0.3×	107 0.4×	45 0.3×	172 1.7×	39	718
Antoine Désilets	303 0.8×	58 0.2×	83 0.3×	173 1.1×	87 0.8×	35	765
Karim Dib	428 1.1×	54 0.2×	163 0.6×	50 0.3×	206 2.0×	36	755
Pirkko Mattila	380 1.0×	57 0.2×	231 0.9×	56 0.4×	260 2.5×	37	850
R W Barton	259 0.7×	76 0.2×	208 0.8×	84 0.5×	269 2.6×	21	843

Countries citing papers authored by Hui‐Chin Peng

Since Specialization

Citations

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

Fields of papers citing papers by Hui‐Chin Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Chin Peng. 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 Hui‐Chin Peng. The network helps show where Hui‐Chin Peng may publish in the future.

Co-authorship network of co-authors of Hui‐Chin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Chin Peng. A scholar is included among the top collaborators of Hui‐Chin Peng 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 Hui‐Chin Peng. Hui‐Chin Peng 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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