Y-Y Mo

4.9k citations

10 papers · 3.9k indexed · 2 hit papers · h-index 10

Impact in

Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Molecular Biology top 2%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques

Papers in ⓘ

Cancer Research 9
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 2
- Cancer, Hypoxia, and Metabolism 2
Molecular Biology 10
- Circular RNAs in diseases 4
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Ion Transport and Channel Regulation 2
- ATP Synthase and ATPases Research 2

Co-authors: Pratistha Koirala (1 shared paper)Feng Wu (3 shared papers)Zhongxin Lu (1 shared paper)Hui Wu (1 shared paper)Shengtao Zhu (1 shared paper)Kounosuke Watabe (7 shared papers)Meng Xu (2 shared papers)Nanjiang Zhou (2 shared papers)
Journals: Oncogene (6 papers)Cell Death and Disease (2 papers)Oncogenesis (1 paper)Cell Death and Differentiation (1 paper)
Partner nations: United States China Japan

In The Last Decade

Y-Y Mo

10 papers receiving 3.8k citations

Hit Papers

align trajectories log scale

LncRNA-mediated regulation of cell signaling in cancer 2017 · 1.3k citations

Peers

Countries citing papers authored by Y-Y Mo

Since Specialization

Citations

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

Fields of papers citing papers by Y-Y Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y-Y Mo. 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 Y-Y Mo. The network helps show where Y-Y Mo may publish in the future.

Co-authors

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

All Works

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10 of 10 papers shown

#	Work
1	miR-21-mediated tumor growth Oncogene ·M.-L. Si, Shengtao Zhu, Hui Wu, Zhongxin Lu, Feng Wu, Y-Y Mo Hit paper breakdown →	2006	1332
2	LncRNA-mediated regulation of cell signaling in cancer Oncogene ·W-X Peng, Pratistha Koirala, Y-Y Mo Hit paper breakdown →	2017	1263
3	Negative regulation of lncRNA GAS5 by miR-21 Cell Death and Differentiation ·Zhiren Zhang, Zhe Zhu, Kounosuke Watabe, Xiang Zhang, Chunxue Bai, Meng Xu, Feng Wu, Y-Y Mo	2013	357
4	Long non-coding RNA UCA1 promotes breast tumor growth by suppression of p27 (Kip1) Cell Death and Disease ·Jianguo Huang, Nanjiang Zhou, Kounosuke Watabe, Lu Zhao, Feng Wu, Meng Xu, Y-Y Mo	2014	316
5	Hypoxia-induced Jagged2 promotes breast cancer metastasis and self-renewal of cancer stem-like cells Oncogene ·Fei Xing, Hiroshi Okuda, Misako Watabe, Akira Kobayashi, Sanjay Pai, Wei Liu, Prabhakar Pandey, Koji Fukuda, Shigeru Hirota, Tamotsu Sugai, G Wakabayshi, Keisuke Koeda, M Kashiwaba, Kazuyuki Suzuki, Toshimi Chiba, Masaki Endo, Y-Y Mo, Kounosuke Watabe	2011	187
6	Regulation of alternative splicing of Bcl-x by BC200 contributes to breast cancer pathogenesis Cell Death and Disease ·Ramesh Singh, Shrish C. Gupta, W-X Peng, Nanjiang Zhou, R Pochampally, Azeddine Atfi, Kounosuke Watabe, Zheng Lü, Y-Y Mo	2016	126
7	Elevated lipogenesis in epithelial stem-like cell confers survival advantage in ductal carcinoma in situ of breast cancer Oncogene ·Prabhakar Pandey, Fei Xing, Sambad Sharma, Misako Watabe, Sanjay Pai, Megumi Iiizumi‐Gairani, Koji Fukuda, Shigeru Hirota, Y-Y Mo, Kounosuke Watabe	2012	79
8	miR-509 suppresses brain metastasis of breast cancer cells by modulating RhoC and TNF-α Oncogene ·Fei Xing, Sambad Sharma, Yingchao Liu, Y-Y Mo, Kui Wu, YY Zhang, Radhika Pochampally, Luis A. Martinez, Hui‐Wen Lo, Kounosuke Watabe	2015	74
9	ERK-mediated NF-κB activation through ASIC1 in response to acidosis Oncogenesis ·Bin Chen, Jianjun Liu, T-T Ho, Xianfeng Ding, Y-Y Mo	2016	71
10	Regulation of breast tumorigenesis through acid sensors Oncogene ·Shrish C. Gupta, Ramesh Singh, M Asters, Jianjun Liu, Xiang Zhang, Mallikarjuna R. Pabbidi, Kounosuke Watabe, Y-Y Mo	2015	67

About Y-Y Mo

Y-Y Mo is a scholar working on Cancer Research, Molecular Biology, Physiology, Oncology and Infectious Diseases, having authored 10 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), MicroRNA in disease regulation (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ion Transport and Channel Regulation (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Cancer Research (3.2k citations), Molecular Biology (3.3k citations), Oncology (335 citations), Immunology (140 citations) and Pulmonary and Respiratory Medicine (210 citations). Y-Y Mo has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Pratistha Koirala, Feng Wu, Zhongxin Lu, Hui Wu, Shengtao Zhu, Kounosuke Watabe, Meng Xu, Nanjiang Zhou, Xiang Zhang and Chunxue Bai. Their work appears in journals such as Oncogene, Cell Death and Disease, Oncogenesis and Cell Death and Differentiation.

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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