Kuang‐Hung Pan

11 total papers · 740 total citations
8 papers, 609 citations indexed

About

Kuang‐Hung Pan is a scholar working on Molecular Biology, Pharmacology and Artificial Intelligence. According to data from OpenAlex, Kuang‐Hung Pan has authored 8 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Artificial Intelligence. Recurrent topics in Kuang‐Hung Pan's work include Gene expression and cancer classification (3 papers), Evolutionary Algorithms and Applications (2 papers) and Genomics and Phylogenetic Studies (2 papers). Kuang‐Hung Pan is often cited by papers focused on Gene expression and cancer classification (3 papers), Evolutionary Algorithms and Applications (2 papers) and Genomics and Phylogenetic Studies (2 papers). Kuang‐Hung Pan collaborates with scholars based in United States, Taiwan and Hong Kong. Kuang‐Hung Pan's co-authors include Stanley N. Cohen, Chih‐Jian Lih, Hong Zhang, Jianqiang Huang, Jong Yuh Cherng, Mei‐Fen Shih, Mei‐Sze Chua, Irene Oi‐Lin Ng, Samuel So and Xin Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Oncogene.

In The Last Decade

Kuang‐Hung Pan

8 papers receiving 603 citations

Author Peers

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

Author						Papers	Cites
Kuang‐Hung Pan	417	130	114	63	55	8	609
Jeanne M. Richardson	429 1.0×	123 0.9×	165 1.4×	45 0.7×	30 0.5×	11	630
Nobuyoshi Chiba	355 0.9×	43 0.3×	79 0.7×	54 0.9×	78 1.4×	13	686
Roberta M. Danilowicz	191 0.5×	128 1.0×	115 1.0×	54 0.9×	59 1.1×	10	501
T.C. Aldridge	532 1.3×	51 0.4×	135 1.2×	71 1.1×	75 1.4×	8	648
Satish Pimprale	396 0.9×	40 0.3×	85 0.7×	64 1.0×	79 1.4×	8	692
K.L. Gearing	524 1.3×	47 0.4×	139 1.2×	103 1.6×	67 1.2×	10	610
D R Crawford	338 0.8×	36 0.3×	106 0.9×	29 0.5×	70 1.3×	11	602
K A Leingang	365 0.9×	51 0.4×	111 1.0×	52 0.8×	64 1.2×	9	611
Janice D. Thomas	383 0.9×	37 0.3×	48 0.4×	28 0.4×	66 1.2×	6	640
Gordon R. Pfeiffer	321 0.8×	44 0.3×	53 0.5×	94 1.5×	57 1.0×	12	617

Countries citing papers authored by Kuang‐Hung Pan

Since Specialization

Citations

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

Fields of papers citing papers by Kuang‐Hung Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuang‐Hung Pan. 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 Kuang‐Hung Pan. The network helps show where Kuang‐Hung Pan may publish in the future.

Co-authorship network of co-authors of Kuang‐Hung Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Kuang‐Hung Pan. A scholar is included among the top collaborators of Kuang‐Hung Pan 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 Kuang‐Hung Pan. Kuang‐Hung Pan 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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