Yu‐Fen Wang

159 total papers · 3.9k total citations
96 papers, 2.6k citations indexed

About

Yu‐Fen Wang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Yu‐Fen Wang has authored 96 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Genetics and 13 papers in Oncology. Recurrent topics in Yu‐Fen Wang's work include Digital Imaging for Blood Diseases (10 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers) and Reproductive biology and impacts on aquatic species (9 papers). Yu‐Fen Wang is often cited by papers focused on Digital Imaging for Blood Diseases (10 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers) and Reproductive biology and impacts on aquatic species (9 papers). Yu‐Fen Wang collaborates with scholars based in China, Taiwan and United States. Yu‐Fen Wang's co-authors include John F. Sheridan, Jonathan P. Godbout, Bernard D. Johnson, Xiaoqing Shi, Ru Shen, Hwei‐Ru Tsou, Marvin F. Reich, Ramaswamy Nilakantan, William Hallett and Carolyn Discafani and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Yu‐Fen Wang

86 papers receiving 2.6k citations

Hit Papers

Antitumor Activity of HKI... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yu‐Fen Wang 994 879 465 271 266 96 2.6k
Jun Wei 1.8k 1.8× 500 0.6× 240 0.5× 150 0.6× 147 0.6× 168 3.6k
Feng Gao 1.1k 1.1× 949 1.1× 496 1.1× 608 2.2× 67 0.3× 137 3.7k
Yi Shen 995 1.0× 578 0.7× 182 0.4× 171 0.6× 59 0.2× 91 3.0k
Jesse Alt 1.2k 1.2× 397 0.5× 197 0.4× 154 0.6× 165 0.6× 79 3.0k
Xiaohu Zhang 1.3k 1.3× 521 0.6× 147 0.3× 202 0.7× 208 0.8× 103 2.4k
Akira Masuda 1.8k 1.8× 746 0.8× 361 0.8× 76 0.3× 211 0.8× 144 3.5k
Jenny Wong 1.6k 1.6× 409 0.5× 321 0.7× 278 1.0× 27 0.1× 67 3.9k
Hong Zhu 1.1k 1.1× 646 0.7× 410 0.9× 206 0.8× 23 0.1× 136 2.8k
Richard E. Kast 901 0.9× 451 0.5× 207 0.4× 112 0.4× 90 0.3× 121 2.3k
Li Cai 1.7k 1.7× 799 0.9× 520 1.1× 110 0.4× 38 0.1× 157 3.3k

Countries citing papers authored by Yu‐Fen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Fen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Fen Wang. 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 Yu‐Fen Wang. The network helps show where Yu‐Fen Wang may publish in the future.

Co-authorship network of co-authors of Yu‐Fen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Fen Wang. A scholar is included among the top collaborators of Yu‐Fen Wang 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 Yu‐Fen Wang. Yu‐Fen Wang 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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