Yu Ren

3.0k citations
123 papers · 2.0k · h-index 28

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 10%

Papers in

    • RNA modifications and cancer 6
    • Breast Cancer Treatment Studies 11
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 6

Yu Ren

116 papers receiving 2.0k citations

Peers

Yu Ren
Comparison fields: 5 of 121
  • Cancer Research 551
  • Oncology 330
  • Molecular Biology 858
  • Pulmonary and Respiratory Medicine 220
  • Biomaterials 95
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Citations per field
00.5×2.9×
Yu‐Chan Chang · 1×
Citations per year

Countries citing papers authored by Yu Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010143
2 2015108
3 201884
4
Increased epidermal growth factor receptor expression in metaplastic bronchial epithelium.
199682
5 201680
6 201573
7 202255
8 201544
9 201744
10 201743
11 201342
12 201640
13 201839
14 201937
15 201737
16 201537
17 201537
18 201234
19 201534
20 201434

About Yu Ren

Yu Ren is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 123 papers that have together received 2.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (11 papers), Ferroptosis and cancer prognosis (8 papers), Hippo pathway signaling and YAP/TAZ (7 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (6 papers), RNA modifications and cancer (6 papers), Nanoplatforms for cancer theranostics (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Cancer Research (551 citations), Oncology (330 citations), Molecular Biology (858 citations), Pulmonary and Respiratory Medicine (220 citations) and Biomaterials (95 citations). Yu Ren has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianjun He, Peijun Liu, Ke Wang, Can Zhou, Xuan Zhou, Juan Li, Yang Liu, Yuhui Zhou, Lizhe Zhu and Ke Wang. Their work appears in journals such as PLoS ONE, International Journal of Biological Sciences, Frontiers in Oncology, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics and Biochemical and Biophysical Research Communications.

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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