Hui‐Chen Wu

2.0k total citations
42 papers, 1.5k citations indexed

About

Hui‐Chen Wu is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Hui‐Chen Wu has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Health, Toxicology and Mutagenesis and 9 papers in Cancer Research. Recurrent topics in Hui‐Chen Wu's work include Epigenetics and DNA Methylation (20 papers), Cancer-related gene regulation (6 papers) and RNA modifications and cancer (6 papers). Hui‐Chen Wu is often cited by papers focused on Epigenetics and DNA Methylation (20 papers), Cancer-related gene regulation (6 papers) and RNA modifications and cancer (6 papers). Hui‐Chen Wu collaborates with scholars based in United States, Taiwan and Türkiye. Hui‐Chen Wu's co-authors include Regina M. Santella, Mary Beth Terry, Jing Shen, Maya Kappil, Yujing Zhang, Lissette Delgado‐Cruzata, Julie D. Flom, Farzana Jasmine, Chien‐Jen Chen and Jennifer S. Ferris and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Hui‐Chen Wu

42 papers receiving 1.5k citations

Peers

Hui‐Chen Wu
Comparison fields: 5 of 113
  • Molecular Biology 959
  • Cancer Research 325
  • Pediatrics, Perinatology and Child Health 237
  • Genetics 172
  • Epidemiology 147
Replace Kai Zhao with:
Kai Zhao China
Tamara R. Jones United States
Giorgio Napolitano Italy
Maya Kappil United States
Hui Gu China
Victoria K. Cortessis United States
Xiaoyan Wu China
Kiyomi Matsumiya Japan
Sarah Dedeurwaerder Belgium
Witigo von Schönfels Germany
Kai Zhao China View profile →
Citations per field, relative to Hui‐Chen Wu
Hui‐Chen Wu · 1×
Citations per year, relative to Hui‐Chen Wu
Hui‐Chen Wu · 1×

Countries citing papers authored by Hui‐Chen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Chen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Chen Wu. 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 Hui‐Chen Wu. The network helps show where Hui‐Chen Wu may publish in the future.

Co-authorship network of co-authors of Hui‐Chen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Chen Wu. A scholar is included among the top collaborators of Hui‐Chen Wu 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 Hui‐Chen Wu. Hui‐Chen Wu 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 2
2 3
3 9
4 1
5 12
6 16
7 41
8 7
9 19
10 13
11 30
12 14
13 20
14 15
15 127
16 61
17 120
18 27
19 39
20
Nationwide singleton birth weight percentiles by gestational age in Taiwan, 1998-2002.
102

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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