Yong Wan

3.1k citations
45 papers · 2.2k indexed · h-index 26
  • Physiology top 2%
    • Adenosine and Purinergic Signaling 5
    • Ubiquitin and proteasome pathways 15
    • Cancer-related gene regulation 10
    • Kruppel-like factors research 10
    • Epigenetics and DNA Methylation 5
  • Oncology top 5%
    • Cancer-related Molecular Pathways 7
    • Microtubule and mitosis dynamics 6
    • Immune Cell Function and Interaction 5

Yong Wan

45 papers receiving 2.2k citations

Peers

Yong Wan
Comparison fields: 5 of 105
  • Physiology 115
  • Molecular Biology 1.6k
  • Oncology 621
  • Cell Biology 366
  • Cancer Research 323
Replace Ruth LaPushin with:
Ruth LaPushin United States
Gwenola Manic Italy
Zuzana Hořejšı́ United Kingdom
Junmin Wu United States
Chitose Oneyama Japan
Tammy L. Moser United States
Apolinar Maya‐Mendoza Denmark
Judy Wai Ping Yam Hong Kong
Gustavo Pacheco–Rodriguez United States
Trevor G. Shepherd Canada
Yong Wan relative to Ruth LaPushin United States Ruth LaPushin's profile →
Citations per field
00.5×10×15.4×
Ruth LaPushin · 1×
Citations per year

Countries citing papers authored by Yong Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yong Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong Wan. 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 Yong Wan. The network helps show where Yong Wan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202418
2 202320
3 202318
4 202146
5 2020101
6 202031
7 202011
8 202019
9 202012
10 201992
11 201933
12 201955
13 201678
14 201685
15 201669
16 201228
17 200925
18 200818
19 2003102
20 200127

About Yong Wan

Yong Wan is a scholar working on Physiology, Cell Biology and Oncology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (15 papers), Cancer-related gene regulation (10 papers), Kruppel-like factors research (10 papers), Cancer-related Molecular Pathways (7 papers), Microtubule and mitosis dynamics (6 papers), Epigenetics and DNA Methylation (5 papers), Immune Cell Function and Interaction (5 papers) and Adenosine and Purinergic Signaling (5 papers). The work is most often cited by research in Physiology (115 citations), Molecular Biology (1.6k citations) and Oncology (621 citations). Yong Wan has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Zhuan Zhou, Mingjing He, Xuedong Liu, Dong Hu, Marc W. Kirschner, İvet Bahar, Bin Zhang, Takeo Fujita, Huiping Liu and Daniela Matei. Their work appears in journals such as Journal of Biological Chemistry, EBioMedicine, Journal of Clinical Investigation, Cancer Research and Cell Division.

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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