Wen‐Der Wang

852 citations
30 papers · 653 indexed · h-index 18

Impact in

Papers in

    • Congenital heart defects research 7
    • Angiogenesis and VEGF in Cancer 3
    • Developmental Biology and Gene Regulation 3
    • Zebrafish Biomedical Research Applications 10

Wen‐Der Wang

29 papers receiving 647 citations

Peers

Wen‐Der Wang
Comparison fields: 5 of 98
  • Developmental Neuroscience 53
  • Cell Biology 175
  • Aging 16
  • Health, Toxicology and Mutagenesis 101
  • Molecular Biology 326
Replace Shota Sasagawa with:
Shota Sasagawa Japan
Éric Samarut Canada
Satish Srinivas Kitambi Sweden
Qingshun Zhao China
Joseph A. Bedell United States
Tae‐Ik Choi South Korea
Igor Kondrychyn Singapore
Ulrike Langheinrich Germany
Nathalie Turque France
Noriko Umemoto Japan
Wen‐Der Wang relative to Shota Sasagawa Japan Shota Sasagawa's profile →
Citations per field
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Shota Sasagawa · 1×
Citations per year

Countries citing papers authored by Wen‐Der Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Der Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wen‐Der Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wen‐Der Wang Line = papers co-authored together Wen‐Der Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201182
2 200958
3 201541
4 201441
5 201334
6 201334
7 202034
8 201732
9 201126
10 201424
11 200023
12 200422
13 200122
14 201922
15 201321
16 202020
17 202019
18 201417
19 201814
20 200614

About Wen‐Der Wang

Wen‐Der Wang is a scholar working on Molecular Biology, Cell Biology, Plant Science, Health, Toxicology and Mutagenesis and Cancer Research, having authored 30 papers that have together received 653 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Congenital heart defects research (7 papers), Plant-Microbe Interactions and Immunity (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Fish Ecology and Management Studies (3 papers), Developmental Biology and Gene Regulation (3 papers), MicroRNA in disease regulation (2 papers) and Environmental Toxicology and Ecotoxicology (2 papers). The work is most often cited by research in Developmental Neuroscience (53 citations), Cell Biology (175 citations), Aging (16 citations), Health, Toxicology and Mutagenesis (101 citations) and Molecular Biology (326 citations). Wen‐Der Wang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Ela W. Knapik, Hwei‐Jan Hsu, Chang‐Yi Wu, D. Melville, Chin‐Hwa Hu, Antonis K. Hatzopoulos, Sarah Kucenas, Bruce Appel, Su Mei Wu and Tun‐Wen Pai. Their work appears in journals such as International Journal of Molecular Sciences, Nature Communications, Developmental Biology, Biochemical and Biophysical Research Communications and PLoS ONE.

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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