Wei‐Hung Yang

25 total papers · 1.0k total citations
21 papers, 856 citations indexed

About

Wei‐Hung Yang is a scholar working on Cancer Research, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Wei‐Hung Yang has authored 21 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 7 papers in Molecular Biology and 5 papers in Immunology and Allergy. Recurrent topics in Wei‐Hung Yang's work include Cell Adhesion Molecules Research (5 papers), NF-κB Signaling Pathways (5 papers) and MicroRNA in disease regulation (5 papers). Wei‐Hung Yang is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), NF-κB Signaling Pathways (5 papers) and MicroRNA in disease regulation (5 papers). Wei‐Hung Yang collaborates with scholars based in Taiwan and China. Wei‐Hung Yang's co-authors include Chih‐Hsin Tang, Yi‐Chin Fong, Tzu‐Wei Tan, Hsien‐Te Chen, Chun‐Yin Huang, Chin‐Jung Hsu, Yung-Sen Chang, Horng‐Chaung Hsu, Chun‐Hao Tsai and Shan‐Chi Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Wei‐Hung Yang

21 papers receiving 846 citations

Author Peers

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

Author						Papers	Cites
Wei‐Hung Yang	396	258	208	156	119	21	856
An‐Chen Chang	560 1.4×	229 0.9×	274 1.3×	127 0.8×	78 0.7×	36	934
Chih‐Hsin Tang	330 0.8×	211 0.8×	178 0.9×	106 0.7×	82 0.7×	18	715
Riccardo Chiusaroli	519 1.3×	244 0.9×	152 0.7×	115 0.7×	122 1.0×	22	896
Indrika Ratnayaka	537 1.4×	224 0.9×	179 0.9×	75 0.5×	125 1.1×	23	1.0k
Min‐Huan Wu	256 0.6×	341 1.3×	107 0.5×	204 1.3×	86 0.7×	21	766
Ming Su	378 1.0×	97 0.4×	162 0.8×	82 0.5×	60 0.5×	24	883
Ute Ungethüm	504 1.3×	141 0.5×	227 1.1×	143 0.9×	147 1.2×	25	874
Akihiro Katayama	430 1.1×	159 0.6×	364 1.8×	175 1.1×	35 0.3×	19	1.0k
Junichi Furuta	502 1.3×	144 0.6×	137 0.7×	97 0.6×	37 0.3×	43	904
Kamala Sundararaj	601 1.5×	111 0.4×	174 0.8×	218 1.4×	65 0.5×	26	1.0k

Countries citing papers authored by Wei‐Hung Yang

Since Specialization

Citations

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

Fields of papers citing papers by Wei‐Hung Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei‐Hung Yang

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