Yin‐Yuan Mo

10.2k total citations · 2 hit papers
92 papers, 8.0k 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 92 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Molecular Biology, 61 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Yin‐Yuan Mo's work include Cancer-related molecular mechanisms research (43 papers), MicroRNA in disease regulation (30 papers) and RNA modifications and cancer (28 papers). Yin‐Yuan Mo is often cited by papers focused on Cancer-related molecular mechanisms research (43 papers), MicroRNA in disease regulation (30 papers) and RNA modifications and cancer (28 papers). Yin‐Yuan Mo collaborates with scholars based in United States, China and Japan. Yin‐Yuan Mo's co-authors include Hailong Wu, Mohit Sachdeva, Kounosuke Watabe, Min-Liang Si, Fangting Wu, Jianguo Huang, Shoumin Zhu, Ramesh Singh, Radhika Pochampally and Nanjiang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yin‐Yuan Mo

90 papers receiving 8.0k citations

Hit Papers

MicroRNA-21 Targets the Tumor Suppressor Gene Tropomyosin... 2007 2026 2013 2019 2007 2009 250 500 750

Peers

Yin‐Yuan Mo
Comparison fields: 5 of 130
  • Molecular Biology 6.6k
  • Cancer Research 5.5k
  • Oncology 1.0k
  • Pulmonary and Respiratory Medicine 545
  • Immunology 388
Replace Silvia Sabbioni with:
Silvia Sabbioni Italy
Philip A. Gregory Australia
Ping Ji United States
Shi‐Mei Zhuang China
Jinjun Li China
Irfan A. Asangani United States
Ping Wei China
Jeewon Kim United States
Shijie Sheng United States
Martin Zörnig Germany
Silvia Sabbioni Italy View profile →
Citations per field, relative to Yin‐Yuan Mo
Yin‐Yuan Mo · 1×
Citations per year, relative to Yin‐Yuan Mo
Yin‐Yuan Mo · 1×

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
# Work Indexed citations
1 0
2 5
3 8
4 21
5 15
6 38
7 19
8 259
9 42
10 21
11 5
12 67
13 106
14 146
15 173
16
p53 represses c-Myc through induction of the tumor suppressor miR-145 breakdown →
691
17 323
18 22
19 6
20 52

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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