Yin-Yuan Mo

3.5k total citations · 1 hit paper
26 papers, 2.9k citations indexed

About

Yin-Yuan Mo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yin-Yuan Mo has authored 26 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Yin-Yuan Mo's work include Cancer therapeutics and mechanisms (8 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer-related molecular mechanisms research (5 papers). Yin-Yuan Mo is often cited by papers focused on Cancer therapeutics and mechanisms (8 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer-related molecular mechanisms research (5 papers). Yin-Yuan Mo collaborates with scholars based in United States, India and Canada. Yin-Yuan Mo's co-authors include Fangting Wu, William T. Beck, Hailong Wu, Shijie Sheng, Daotai Nie, Yanni Yu, Stergios J. Moschos, Pui Lai Rachel Ee, Chi Chen and A.-N. Tony Kong and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Cancer Research.

In The Last Decade

Yin-Yuan Mo

26 papers receiving 2.9k citations

Hit Papers

MicroRNA-21 targets tumor suppressor genes in invasion an... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yin-Yuan Mo United States 22 2.5k 1.4k 389 214 164 26 2.9k
Krushna C. Patra United States 14 1.9k 0.7× 1.5k 1.1× 527 1.4× 131 0.6× 218 1.3× 18 2.8k
Luciano Vellón United States 27 1.7k 0.7× 1.0k 0.7× 489 1.3× 122 0.6× 220 1.3× 51 2.5k
Renza Vento Italy 34 1.9k 0.8× 863 0.6× 731 1.9× 149 0.7× 202 1.2× 97 2.8k
Xiangling Yang China 31 2.0k 0.8× 1.5k 1.1× 433 1.1× 114 0.5× 110 0.7× 71 2.9k
Marco Sciacovelli United Kingdom 22 1.6k 0.6× 803 0.6× 241 0.6× 156 0.7× 135 0.8× 26 2.1k
Rui Liu China 24 1.5k 0.6× 937 0.7× 336 0.9× 266 1.2× 203 1.2× 93 2.4k
Niels J. F. van den Broek Netherlands 19 1.7k 0.7× 697 0.5× 262 0.7× 283 1.3× 107 0.7× 24 2.1k
Zhaojian Liu China 37 2.1k 0.9× 1.1k 0.8× 572 1.5× 140 0.7× 263 1.6× 71 3.2k
Christiaan F. Labuschagne United Kingdom 15 2.2k 0.9× 1.4k 1.1× 632 1.6× 154 0.7× 222 1.4× 21 3.2k
Isabelle M. Berquin United States 27 1.2k 0.5× 782 0.6× 427 1.1× 241 1.1× 63 0.4× 30 2.2k

Countries citing papers authored by Yin-Yuan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yin-Yuan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin-Yuan Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Yin-Yuan Mo. A scholar is included among the top collaborators of Yin-Yuan Mo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yin-Yuan Mo. Yin-Yuan Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Tong, Jacob Porter, Chenguang Zhao, et al.. (2019). TADKB: Family classification and a knowledge base of topologically associating domains. BMC Genomics. 20(1). 217–217. 29 indexed citations
2.
Wang, Yiheng, Tong Liu, Dong Xu, et al.. (2016). Predicting DNA Methylation State of CpG Dinucleotide Using Genome Topological Features and Deep Networks. Scientific Reports. 6(1). 19598–19598. 64 indexed citations
3.
Zhang, Ali, Jonathan C. Zhao, Jung Kim, et al.. (2015). LncRNA HOTAIR Enhances the Androgen-Receptor-Mediated Transcriptional Program and Drives Castration-Resistant Prostate Cancer. Cell Reports. 13(1). 209–221. 265 indexed citations
4.
Gupta, Subash C., et al.. (2013). Nimbolide, a Limonoid Triterpene, Inhibits Growth of Human Colorectal Cancer Xenografts by Suppressing the Proinflammatory Microenvironment. Clinical Cancer Research. 19(16). 4465–4476. 86 indexed citations
6.
Lee, Ji‐Young, Amruta Padhye, Abhilasha Sharma, et al.. (2010). A Pathway Involving Farnesoid X Receptor and Small Heterodimer Partner Positively Regulates Hepatic Sirtuin 1 Levels via MicroRNA-34a Inhibition. Journal of Biological Chemistry. 285(17). 12604–12611. 218 indexed citations
7.
Wu, Hailong, et al.. (2008). MicroRNA-21 targets tumor suppressor genes in invasion and metastasis. Cell Research. 18(3). 350–359. 894 indexed citations breakdown →
8.
Peng, Siying, et al.. (2008). c‐Maf increases apoptosis in peripheral CD8 cells by transactivating Caspase 6. Immunology. 127(2). 267–278. 10 indexed citations
9.
Moschos, Stergios J. & Yin-Yuan Mo. (2006). Role of SUMO/Ubc9 in DNA Damage Repair and Tumorigenesis. Journal of Molecular Histology. 37(5-7). 309–319. 37 indexed citations
10.
Mirski, S E, Beate Friedrich, Matthias Köhler, et al.. (2006). Topoisomerase II binds importin α isoforms and exportin/CRM1 but does not shuttle between the nucleus and cytoplasm in proliferating cells. Experimental Cell Research. 313(3). 627–637. 12 indexed citations
11.
Mo, Yin-Yuan & Stergios J. Moschos. (2005). Targeting Ubc9 for cancer therapy. Expert Opinion on Therapeutic Targets. 9(6). 1203–1216. 73 indexed citations
12.
Mo, Yin-Yuan, et al.. (2005). A role for Ubc9 in tumorigenesis. Oncogene. 24(16). 2677–2683. 156 indexed citations
13.
Mo, Yin-Yuan, Yanni Yu, Zhiyuan Shen, & William T. Beck. (2002). Nucleolar Delocalization of Human Topoisomerase I in Response to Topotecan Correlates with Sumoylation of the Protein. Journal of Biological Chemistry. 277(4). 2958–2964. 92 indexed citations
14.
Yu, Rong, Chi Chen, Yin-Yuan Mo, et al.. (2000). Activation of Mitogen-activated Protein Kinase Pathways Induces Antioxidant Response Element-mediated Gene Expression via a Nrf2-dependent Mechanism. Journal of Biological Chemistry. 275(51). 39907–39913. 304 indexed citations
15.
Mo, Yin-Yuan, et al.. (2000). Functional Expression of Human DNA Topoisomerase I and Its Subcellular Localization in HeLa Cells. Experimental Cell Research. 256(2). 480–490. 33 indexed citations
16.
Mo, Yin-Yuan & William T. Beck. (1999). DNA Damage Signals Induction of Fas Ligand in Tumor Cells. Molecular Pharmacology. 55(2). 216–222. 50 indexed citations
17.
Beck, William T., Susan E. Morgan, Yin-Yuan Mo, & Uppoor G. Bhat. (1999). Tumor cell resistance to DNA topoisomerase II inhibitors: new developments. Drug Resistance Updates. 2(6). 382–389. 31 indexed citations
18.
Mo, Yin-Yuan & William T. Beck. (1999). DNA Damage Signals Induction of Fas Ligand in Tumor Cells. Molecular Pharmacology. 55(2). 216–222. 4 indexed citations
19.
Mo, Yin-Yuan, Keith Ameiss, & William T. Beck. (1998). Overexpression of Human DNA Topoisomerase IIα by Fusion to Enhanced Green Fluorescent Protein. BioTechniques. 25(6). 1052–1057. 21 indexed citations
20.
Reynolds, Albert B., Juliet M. Daniel, Yin-Yuan Mo, Jing Wu, & Zhi Zhang. (1996). The Novel Catenin p120casBinds Classical Cadherins and Induces an Unusual Morphological Phenotype in NIH3T3 Fibroblasts. Experimental Cell Research. 225(2). 328–337. 131 indexed citations

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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