Xiaoyang Mo

536 citations
29 papers · 346 · h-index 13

Impact in

Papers in

Xiaoyang Mo

25 papers receiving 337 citations

Peers

Xiaoyang Mo
Comparison fields: 5 of 68
  • Ecological Modeling 33
  • Orthopedics and Sports Medicine 30
  • Global and Planetary Change 68
  • Genetics 76
  • Molecular Biology 167
Replace Brian Park with:
Brian Park United States
I‐Ping Chen United States
Patrick Steinmann Switzerland
Jung-Hwa Ryu South Korea
Mathilde van der Merwe South Africa
Joseph D. Fleming United States
John Kollar United States
Katherine Lim United States
Guorui Hu China
Xiaoyang Mo relative to Brian Park United States Brian Park's profile →
Citations per field
00.5×4.3×
Brian Park · 1×
Citations per year

Countries citing papers authored by Xiaoyang Mo

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyang Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201031
2 200730
3 200726
4 201024
5 200421
6 200720
7 201720
8 201819
9 200618
10 201415
11 200415
12 202312
13 201612
14 200512
15 202311
16 199810
17 201310
18 20248
19 20127
20 20256

About Xiaoyang Mo

Xiaoyang Mo is a scholar working on Molecular Biology, Global and Planetary Change, Genetics, Oncology and Ecological Modeling, having authored 29 papers that have together received 346 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (7 papers), RNA Research and Splicing (5 papers), Lepidoptera: Biology and Taxonomy (4 papers), Species Distribution and Climate Change (4 papers), Bone health and osteoporosis research (3 papers), Genomics and Chromatin Dynamics (3 papers), Wildlife Ecology and Conservation (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Ecological Modeling (33 citations), Orthopedics and Sports Medicine (30 citations), Global and Planetary Change (68 citations), Genetics (76 citations) and Molecular Biology (167 citations). Xiaoyang Mo has collaborated with scholars based in China, United States and Zimbabwe. Frequent co-authors include Xiushan Wu, Yongqing Li, Wuzhou Yuan, Yuequn Wang, Xiongwei Fan, Yun Deng, Hong‐Wen Deng, Shu‐Feng Lei, Zequn Wang and Yanbo Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Molecular Biology Reports, Current Molecular Medicine, Journal of Bone and Mineral Metabolism and Animals.

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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