Fen-Hwa Wong

19 total papers · 1.2k total citations
17 papers, 1.0k citations indexed

About

Fen-Hwa Wong is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Fen-Hwa Wong has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Immunology. Recurrent topics in Fen-Hwa Wong's work include Vector-Borne Animal Diseases (3 papers), Cleft Lip and Palate Research (3 papers) and Cancer-related Molecular Pathways (3 papers). Fen-Hwa Wong is often cited by papers focused on Vector-Borne Animal Diseases (3 papers), Cleft Lip and Palate Research (3 papers) and Cancer-related Molecular Pathways (3 papers). Fen-Hwa Wong collaborates with scholars based in Taiwan, United States and China. Fen-Hwa Wong's co-authors include Lee Ratner, Jason T. Kimata, Mary M. Zutter, Timothy J. Ley, William J. Grossman, Cheng-po Hu, Chung-Ming Chang, Shiu‐Feng Huang, Chuen-Miin Leu and Michael D. Robek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Oncogene.

In The Last Decade

Fen-Hwa Wong

17 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Fen-Hwa Wong 548 400 389 376 201 17 1.0k
Daniel Bertolette 466 0.9× 305 0.8× 371 1.0× 284 0.8× 142 0.7× 22 934
J E Green 347 0.6× 164 0.4× 344 0.9× 142 0.4× 285 1.4× 11 988
Kusuki Nishioka 460 0.8× 144 0.4× 252 0.6× 108 0.3× 211 1.0× 13 996
Naomi Taylor 507 0.9× 197 0.5× 273 0.7× 182 0.5× 152 0.8× 15 825
C Thévenin 521 1.0× 122 0.3× 326 0.8× 111 0.3× 156 0.8× 15 925
Robin ABU-GHAZALEH 97 0.2× 374 0.9× 708 1.8× 150 0.4× 119 0.6× 10 1.2k
Yasuo Kuwazuru 201 0.4× 106 0.3× 363 0.9× 123 0.3× 426 2.1× 20 846
Marian Seto 203 0.4× 92 0.2× 290 0.7× 85 0.2× 109 0.5× 13 826
Jeremy Kitson 320 0.6× 191 0.5× 488 1.3× 117 0.3× 84 0.4× 10 830
Alberto Corradin 232 0.4× 118 0.3× 458 1.2× 113 0.3× 118 0.6× 16 1.0k

Countries citing papers authored by Fen-Hwa Wong

Since Specialization
Citations

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

Fields of papers citing papers by Fen-Hwa Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fen-Hwa Wong. 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 Fen-Hwa Wong. The network helps show where Fen-Hwa Wong may publish in the future.

Co-authorship network of co-authors of Fen-Hwa Wong

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