Wang‐Fun Fong

10 total papers · 973 total citations
10 papers, 735 citations indexed

About

Wang‐Fun Fong is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Wang‐Fun Fong has authored 10 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Oncology. Recurrent topics in Wang‐Fun Fong's work include Pharmacological Effects of Natural Compounds (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Ginseng Biological Effects and Applications (2 papers). Wang‐Fun Fong is often cited by papers focused on Pharmacological Effects of Natural Compounds (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Ginseng Biological Effects and Applications (2 papers). Wang‐Fun Fong collaborates with scholars based in Hong Kong, China and Switzerland. Wang‐Fun Fong's co-authors include Zhi‐Ling Yu, Yifan Han, Dik‐Lung Ma, Kam-Ming Ko, Si-Yuan Pan, Shu-Feng Zhou, Guo‐Yuan Zhu, Sibao Chen, Chung-Hang Leung and Kim Hung Lam and has published in prestigious journals such as Life Sciences, European Journal of Pharmacology and Naunyn-Schmiedeberg s Archives of Pharmacology.

In The Last Decade

Wang‐Fun Fong

10 papers receiving 704 citations

Hit Papers

New Perspectives on How t... 2013 2026 2017 2021 2013 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Wang‐Fun Fong 291 228 141 138 114 10 735
Iqra Sarfraz 318 1.1× 163 0.7× 97 0.7× 118 0.9× 88 0.8× 12 712
Zidan Khan 246 0.8× 241 1.1× 81 0.6× 129 0.9× 130 1.1× 17 804
Pallavi Mandave 417 1.4× 161 0.7× 85 0.6× 106 0.8× 73 0.6× 7 847
James Syce 191 0.7× 276 1.2× 124 0.9× 139 1.0× 126 1.1× 27 756
Dharmender Rathee 290 1.0× 342 1.5× 138 1.0× 161 1.2× 120 1.1× 22 811
Kanokkarn Phromnoi 329 1.1× 147 0.6× 124 0.9× 100 0.7× 72 0.6× 18 761
Jung Chao 377 1.3× 172 0.8× 162 1.1× 178 1.3× 98 0.9× 28 846
Shahenur Alam Sakib 176 0.6× 189 0.8× 127 0.9× 138 1.0× 137 1.2× 17 660
Luciano Chiang 310 1.1× 280 1.2× 100 0.7× 156 1.1× 124 1.1× 21 879
Kanika Patel 329 1.1× 227 1.0× 112 0.8× 149 1.1× 133 1.2× 25 838

Countries citing papers authored by Wang‐Fun Fong

Since Specialization
Citations

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

Fields of papers citing papers by Wang‐Fun Fong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang‐Fun Fong

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