Yao‐Fei Chan

11 total papers · 452 total citations
9 papers, 353 citations indexed

About

Yao‐Fei Chan is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yao‐Fei Chan has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yao‐Fei Chan's work include Immune Response and Inflammation (4 papers), NF-κB Signaling Pathways (3 papers) and Immune cells in cancer (3 papers). Yao‐Fei Chan is often cited by papers focused on Immune Response and Inflammation (4 papers), NF-κB Signaling Pathways (3 papers) and Immune cells in cancer (3 papers). Yao‐Fei Chan collaborates with scholars based in Taiwan, United States and United Kingdom. Yao‐Fei Chan's co-authors include Shu‐Min Lin, Chun‐Hua Wang, Po‐Hao Feng, Han-Pin Kuo, Chun‐Liang Chou, Kang‐Yun Lee, Fu‐Tsai Chung, Chien‐Da Huang, Chih-Teng Yu and Ya-Ling Chang and has published in prestigious journals such as The Journal of Immunology, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Yao‐Fei Chan

9 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Yao‐Fei Chan	217	147	124	78	56	9	353
Filippo Cortesi	171 0.8×	169 1.1×	151 1.2×	65 0.8×	51 0.9×	13	392
Marlies Cortés	127 0.6×	101 0.7×	174 1.4×	31 0.4×	78 1.4×	8	333
Chuan-jie Hao	208 1.0×	111 0.8×	87 0.7×	54 0.7×	36 0.6×	11	356
Michael C. Zahner	143 0.7×	101 0.7×	79 0.6×	28 0.4×	63 1.1×	8	301
Elina Timosenko	259 1.2×	171 1.2×	117 0.9×	27 0.3×	56 1.0×	7	389
Svenja Groeneveld	115 0.5×	132 0.9×	158 1.3×	53 0.7×	121 2.2×	10	377
Gage Brummer	134 0.6×	149 1.0×	96 0.8×	25 0.3×	54 1.0×	8	333
Kung‐Chi Kao	196 0.9×	131 0.9×	131 1.1×	42 0.5×	91 1.6×	9	396
Inês M. Gomes	79 0.4×	129 0.9×	156 1.3×	139 1.8×	50 0.9×	10	370
Yun-Hen Liu	269 1.2×	152 1.0×	66 0.5×	73 0.9×	21 0.4×	11	392

Countries citing papers authored by Yao‐Fei Chan

Since Specialization

Citations

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

Fields of papers citing papers by Yao‐Fei Chan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao‐Fei Chan. 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 Yao‐Fei Chan. The network helps show where Yao‐Fei Chan may publish in the future.

Co-authorship network of co-authors of Yao‐Fei Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Yao‐Fei Chan. A scholar is included among the top collaborators of Yao‐Fei Chan 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 Yao‐Fei Chan. Yao‐Fei Chan 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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