Saijun Mo

764 citations
26 papers · 593 · h-index 11

Impact in

Papers in

    • Cancer-related gene regulation 4
    • RNA modifications and cancer 3
    • Signaling Pathways in Disease 2
    • RNA Interference and Gene Delivery 2
    • Kruppel-like factors research 2
    • Caveolin-1 and cellular processes 4

Saijun Mo

24 papers receiving 590 citations

Peers

Saijun Mo
Comparison fields: 5 of 89
  • Biochemistry 42
  • Cancer Research 87
  • Molecular Biology 277
  • Cell Biology 55
  • Materials Chemistry 141
Replace Shanshan Liu with:
Shanshan Liu China
Shanling Xu China
Hongyan Cui China
Sachin Bagde India
Xue You China
Gantumur Battogtokh South Korea
Song Lian China
Mirela Sedić Croatia
Satish K. Chitneni United States
Saijun Mo relative to Shanshan Liu China Shanshan Liu's profile →
Citations per field
00.5×1.5×2.2×
Shanshan Liu · 1×
Citations per year

Countries citing papers authored by Saijun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Saijun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021168
2 2019159
3 201043
4 202140
5 201937
6 202023
7 201621
8 201416
9 201714
10 200512
11 201311
12 202310
13 20059
14 20236
15 20246
16 20114
17 20223
18
[Polymorphism in intron 2 of crucian carp GH I gene].
20043
19 20232
20 20242

About Saijun Mo

Saijun Mo is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Oncology and Organic Chemistry, having authored 26 papers that have together received 593 indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (4 papers), Caveolin-1 and cellular processes (4 papers), RNA modifications and cancer (3 papers), Signaling Pathways in Disease (2 papers), RNA Interference and Gene Delivery (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Kruppel-like factors research (2 papers). The work is most often cited by research in Biochemistry (42 citations), Cancer Research (87 citations), Molecular Biology (277 citations), Cell Biology (55 citations) and Materials Chemistry (141 citations). Saijun Mo has collaborated with scholars based in China, United States and France. Frequent co-authors include Yihuan Chen, Xiaoshuo Dai, Jing Lü, Xiaoyan Zhang, Wei Chen, Qiushuang Zhang, Bingjie Li, Xueli Zhao, Zhao‐Yang Wang and Wang Ma. Their work appears in journals such as Scientific Reports, Chemical Communications, Sensors and Actuators B Chemical, Analytical Chemistry and International Journal of Biological Sciences.

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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