Rujun Mo

703 citations
21 papers · 454 indexed · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Rujun Mo

21 papers receiving 450 citations

Peers

Rujun Mo
Comparison fields: 5 of 63
  • Cancer Research 147
  • Oncology 115
  • Molecular Biology 282
  • Pulmonary and Respiratory Medicine 120
  • Immunology 67
Replace Suhua Xia with:
Suhua Xia China
Danielle L. Jernigan United States
Simantini Eddy United States
Bo Ni China
Kaimi Li China
Jeffery J. Raizer United States
Yanling Fan China
Chandrika Jeyamohan United States
Ruiqing Peng China
Rujun Mo relative to Suhua Xia China Suhua Xia's profile →
Citations per field
00.5×1.5×1.9×
Suhua Xia · 1×
Citations per year

Countries citing papers authored by Rujun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Rujun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202051
2 201647
3 201844
4 201741
5 201341
6 201441
7 201832
8 201426
9 201325
10 201925
11 201720
12 201315
13 202214
14 202012
15 20157
16 20224
17 20242
18 20242
19 20252
20 20232

About Rujun Mo

Rujun Mo is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Cell Biology, Oncology and Molecular Biology, having authored 21 papers that have together received 454 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (9 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (3 papers), RNA modifications and cancer (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (147 citations), Oncology (115 citations), Molecular Biology (282 citations), Pulmonary and Respiratory Medicine (120 citations) and Immunology (67 citations). Rujun Mo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Weide Zhong, Huichan He, Funeng Jiang, Zhaodong Han, Yongding Wu, Jianguo Zhu, Yangjia Zhuo, Yuxiang Liang, Yingke Liang and Zhiduan Cai. Their work appears in journals such as Disease Markers, Clinical & Translational Oncology, Global Ecology and Conservation, International Journal of Biological Macromolecules and Frontiers in Cell and Developmental Biology.

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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