Wang‐Kai Fang

40 total papers · 806 total citations
29 papers, 393 citations indexed

About

Wang‐Kai Fang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Wang‐Kai Fang has authored 29 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Surgery. Recurrent topics in Wang‐Kai Fang's work include Cancer-related gene regulation (10 papers), Wnt/β-catenin signaling in development and cancer (9 papers) and Esophageal Cancer Research and Treatment (5 papers). Wang‐Kai Fang is often cited by papers focused on Cancer-related gene regulation (10 papers), Wnt/β-catenin signaling in development and cancer (9 papers) and Esophageal Cancer Research and Treatment (5 papers). Wang‐Kai Fang collaborates with scholars based in China, Canada and Hong Kong. Wang‐Kai Fang's co-authors include En‐Min Li, Li‐Yan Xu, Lian‐Di Liao, Jian‐Jun Xie, Jian‐Yi Wu, Xiu‐E Xu, Haiying Zou, Zhi‐Yong Wu, Bingli Wu and Yang‐Min Xie and has published in prestigious journals such as Biochemical Journal, Clinical Cancer Research and The American Journal of Human Genetics.

In The Last Decade

Wang‐Kai Fang

28 papers receiving 392 citations

Author Peers

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

Author Last Decade Papers Cites
Wang‐Kai Fang 255 87 81 71 53 29 393
Patricia Q. Rodriguez 188 0.7× 60 0.7× 64 0.8× 40 0.6× 30 0.6× 20 354
Yujie Cui 189 0.7× 62 0.7× 54 0.7× 48 0.7× 36 0.7× 23 362
K Inada 150 0.6× 88 1.0× 74 0.9× 97 1.4× 54 1.0× 25 433
Hui Wang 271 1.1× 62 0.7× 68 0.8× 34 0.5× 35 0.7× 23 401
Heqing Li 164 0.6× 70 0.8× 92 1.1× 67 0.9× 102 1.9× 18 388
Yan Dai 181 0.7× 84 1.0× 124 1.5× 45 0.6× 51 1.0× 19 417
Kyoko Wakamatsu 92 0.4× 54 0.6× 74 0.9× 43 0.6× 54 1.0× 23 358
Lijuan Qu 260 1.0× 118 1.4× 61 0.8× 67 0.9× 64 1.2× 33 446
Pengfei Zhao 196 0.8× 106 1.2× 50 0.6× 38 0.5× 30 0.6× 28 436
Henning Leske 125 0.5× 77 0.9× 84 1.0× 66 0.9× 34 0.6× 25 389

Countries citing papers authored by Wang‐Kai Fang

Since Specialization
Citations

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

Fields of papers citing papers by Wang‐Kai Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang‐Kai Fang

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