Yuchan Wang

2.4k citations
87 papers · 1.7k · h-index 25

Impact in

Papers in

    • Ubiquitin and proteasome pathways 10
    • RNA Research and Splicing 6
    • Protein Degradation and Inhibitors 6
    • RNA modifications and cancer 5

Yuchan Wang

87 papers receiving 1.7k citations

Peers

Yuchan Wang
Comparison fields: 5 of 115
  • Biological Psychiatry 76
  • Behavioral Neuroscience 64
  • Cancer Research 241
  • Molecular Biology 973
  • Oncology 282
Replace Nicola Perrotti with:
Nicola Perrotti Italy
Jing Yu China
Ilja Vietor Austria
Gordon P. Meares United States
Timour Prozorovski Germany
Nabil Hajji United Kingdom
Shidou Zhao China
Anton Bauer Austria
Maura Calvani Italy
Yuchan Wang relative to Nicola Perrotti Italy Nicola Perrotti's profile →
Citations per field
00.5×1.5×2.1×
Nicola Perrotti · 1×
Citations per year

Countries citing papers authored by Yuchan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuchan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009143
2 201487
3 201470
4 200968
5 201567
6 201365
7 201552
8 201552
9 201746
10 201340
11 201539
12 202336
13 201636
14 201534
15 201733
16 201332
17 201231
18 201429
19 202129
20 201926

About Yuchan Wang

Yuchan Wang is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Hematology and Immunology, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (10 papers), Multiple Myeloma Research and Treatments (9 papers), Lymphoma Diagnosis and Treatment (8 papers), RNA Research and Splicing (6 papers), Protein Degradation and Inhibitors (6 papers), Cell Adhesion Molecules Research (5 papers), RNA modifications and cancer (5 papers) and Tryptophan and brain disorders (5 papers). The work is most often cited by research in Biological Psychiatry (76 citations), Behavioral Neuroscience (64 citations), Cancer Research (241 citations), Molecular Biology (973 citations) and Oncology (282 citations). Yuchan Wang has collaborated with scholars based in China, United States and Saint Kitts and Nevis. Frequent co-authors include Chun Cheng, Weizu Li, Yanyan Yin, Aiguo Shen, Yueming Zhao, Wen Hu, Weiping Li, Song He, Linlin Sun and Song He. Their work appears in journals such as Leukemia Research, Tumor Biology, Cancer Biology & Therapy, Journal of Biological Chemistry and Experimental Cell Research.

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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