Junyu Tan

498 citations
11 papers · 348 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Wnt/β-catenin signaling in development and cancer

Papers in

    • Epigenetics and DNA Methylation 6
    • Cancer-related gene regulation 4
    • RNA modifications and cancer 3
    • Protein Degradation and Inhibitors 1
    • Peptidase Inhibition and Analysis 1

Junyu Tan

10 papers receiving 344 citations

Peers

Junyu Tan
Comparison fields: 5 of 60
  • Cancer Research 102
  • Molecular Biology 269
  • Oncology 95
  • Cell Biology 39
  • Immunology and Allergy 14
Replace Grégoire F. Le Bras with:
Grégoire F. Le Bras United States
Alexander E. Kudinov United States
Xian-Zi Yang China
Martin Hellriegel Germany
Steve C.L. Leung Hong Kong
Qinghua Xi China
Genesio Leo Italy
Ewa Aładowicz United Kingdom
Hazel O’Sullivan Ireland
Tressa M. Allington United States
Junyu Tan relative to Grégoire F. Le Bras United States Grégoire F. Le Bras's profile →
Citations per field
00.5×1.6×
Grégoire F. Le Bras · 1×
Citations per year

Countries citing papers authored by Junyu Tan

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006107
2 201180
3 201858
4 201333
5 201929
6 201913
7 20209
8 20199
9 20196
10 20224
11 20240

About Junyu Tan

Junyu Tan is a scholar working on Molecular Biology, Oncology, Cancer Research, Rheumatology and Small Animals, having authored 11 papers that have together received 348 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Cancer-related gene regulation (4 papers), RNA modifications and cancer (3 papers), Peptidase Inhibition and Analysis (1 paper), Protein Degradation and Inhibitors (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Bone and Dental Protein Studies (1 paper). The work is most often cited by research in Cancer Research (102 citations), Molecular Biology (269 citations), Oncology (95 citations), Cell Biology (39 citations) and Immunology and Allergy (14 citations). Junyu Tan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yuxian Guo, Yaochen Li, Qian Tao, Gopesh Srivastava, Hongyan Li, Anthony T.�C. Chan, Wenjun Xiao, Xiong Liu, Yichao Fan and Sai Wah Tsao. Their work appears in journals such as Oncogene, Frontiers in Cell and Developmental Biology, Oncogenesis, Experimental Cell Research and Frontiers in Pharmacology.

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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