Wang‐Fun Fong

2.7k total citations
56 papers, 2.2k citations indexed

About

Wang‐Fun Fong is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Wang‐Fun Fong has authored 56 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Oncology and 8 papers in Pharmacology. Recurrent topics in Wang‐Fun Fong's work include Drug Transport and Resistance Mechanisms (10 papers), Polyamine Metabolism and Applications (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Wang‐Fun Fong is often cited by papers focused on Drug Transport and Resistance Mechanisms (10 papers), Polyamine Metabolism and Applications (6 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Wang‐Fun Fong collaborates with scholars based in Hong Kong, China and United States. Wang‐Fun Fong's co-authors include Hon‐Yeung Cheung, Xiaoling Shen, Mengsu Yang, Anfernee Kai‐Wing Tse, Chi‐Keung Wan, Zhi‐Ling Yu, Guo‐Yuan Zhu, Jieliang Li, Jimmy Wu and Cheng Wang and has published in prestigious journals such as Journal of Biological Chemistry, Trends in Biochemical Sciences and Biochemical and Biophysical Research Communications.

In The Last Decade

Wang‐Fun Fong

56 papers receiving 2.1k citations

Peers

Wang‐Fun Fong
Comparison fields: 5 of 103
  • Molecular Biology 1.1k
  • Oncology 412
  • Complementary and alternative medicine 396
  • Pharmacology 336
  • Organic Chemistry 306
Replace Eun‐Ryeong Hahm with:
Eun‐Ryeong Hahm United States
Guo‐Yuan Zhu Macao
Haoyu Ye China
Nand Kishor Roy India
Shih-Lan Hsu Taiwan
Hiroshige Hibasami Japan
Yuqing Zhao China
Yumiko Yasui Japan
Jong‐Keun Son South Korea
Jiaolin Bao Macao
Eun‐Ryeong Hahm United States View profile →
Citations per field, relative to Wang‐Fun Fong
Wang‐Fun Fong · 1×
Citations per year, relative to Wang‐Fun Fong
Wang‐Fun Fong · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 137
2 53
3 35
4 19
5 44
6 24
7 28
8 124
9 71
10 119
11 112
12 21
13 55
14 58
15 20
16 9
17 10
18 66
19 25
20 14

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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