Won‐Jing Wang

3.4k citations
38 papers · 2.5k indexed · h-index 24
    • Microtubule and mitosis dynamics 15
    • Cellular transport and secretion 3
  • Genetics top 2%
    • Genetic and Kidney Cyst Diseases 18
    • Protist diversity and phylogeny 9
    • Hedgehog Signaling Pathway Studies 4
    • Ubiquitin and proteasome pathways 4
    • Mitochondrial Function and Pathology 3
    • Epigenetics and DNA Methylation 3
  • Aging top 10%

Won‐Jing Wang

36 papers receiving 2.4k citations

Peers

Won‐Jing Wang
Comparison fields: 5 of 109
  • Cell Biology 1.2k
  • Genetics 898
  • Molecular Biology 1.9k
  • Structural Biology 29
  • Aging 26
Replace Tang K. Tang with:
Tang K. Tang Taiwan
Daiju Kitagawa Japan
Catherine Lindon United Kingdom
Florian Steinberg Germany
Juliati Rahajeng United States
Thomas Weimbs United States
Seng Hui Low United States
Mike Costa United States
Christian Delphin France
Mikhail Bashkurov Canada
Won‐Jing Wang relative to Tang K. Tang Taiwan Tang K. Tang's profile →
Citations per field
00.5×
Tang K. Tang · 1×
Citations per year

Countries citing papers authored by Won‐Jing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Jing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Won‐Jing 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 Won‐Jing Wang Line = papers co-authored together Won‐Jing Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20251
5 20245
6 20243
7 20233
8 202312
9 201950
10 201975
11 201817
12 201814
13 201737
14 2016104
15 201484
16 2013306
17 201373
18 2009233
19 200618
20 200247

About Won‐Jing Wang

Won‐Jing Wang is a scholar working on Cell Biology, Genetics, Molecular Biology, Immunology and Allergy and Immunology, having authored 38 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (18 papers), Microtubule and mitosis dynamics (15 papers), Protist diversity and phylogeny (9 papers), Hedgehog Signaling Pathway Studies (4 papers), Ubiquitin and proteasome pathways (4 papers), Mitochondrial Function and Pathology (3 papers), Epigenetics and DNA Methylation (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Cell Biology (1.2k citations), Genetics (898 citations), Molecular Biology (1.9k citations), Structural Biology (29 citations) and Aging (26 citations). Won‐Jing Wang has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Meng-Fu Bryan Tsou, Kunihiro Uryu, Ruey‐Hwa Chen, Jean‐Cheng Kuo, Rajesh K. Soni, B Tanos, Chung‐Chen Jane Yao, Frank Macaluso, John M. Asara and Jung‐Chi Liao. Their work appears in journals such as The Journal of Cell Biology, Nature Communications, Developmental Cell, Cell Reports and EMBO Reports.

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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