Xiaoyan Li

9.1k citations
284 papers · 5.6k indexed · h-index 36
Topics
RNA modifications and cancer (19 papers)Cancer-related gene regulation (18 papers)MicroRNA in disease regulation (14 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Xiaoyan Li

266 papers receiving 5.5k citations

Peers

Xiaoyan Li
Comparison fields: 5 of 157
  • Molecular Biology 3.2k
  • Cancer Research 656
  • Oncology 575
  • Pulmonary and Respiratory Medicine 430
  • Plant Science 423
Replace Bennett G. Childs with:
Bennett G. Childs United States
Seong‐Jin Kim South Korea
Guillermo Mariño France
Ikuo Morita Japan
Jeong‐Ki Min South Korea
Xin Liu China
Qí Zhāng China
Amir S. Yazdi Germany
Hung‐Yun Lin United States
Lothar Schweigerer Germany
Xiaoyan Li relative to Bennett G. Childs United States Bennett G. Childs's profile →
Citations per field
00.5×3.9×
Bennett G. Childs · 1×
Citations per year

Countries citing papers authored by Xiaoyan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Li. A scholar is included among the top collaborators of Xiaoyan Li 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 Xiaoyan Li. Xiaoyan Li 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
#WorkIndexed citations
1 14
2 0
3 0
4 10
5 4
6 20
7 10
8 33
9 24
10 4
11 15
12 4
13 23
14 5
15 18
16
Evaluation of Abicipar Pegol (an Anti-VEGF DARPin Therapeutic) in Patients With Neovascular Age-Related Macular Degeneration: Studies in Japan and the United States
1
17 62
18 85
19 9
20 1

About Xiaoyan Li

Xiaoyan Li is a scholar working on Molecular Biology, Cancer Research and Rehabilitation, having authored 284 papers that have together received 5.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (19 papers), Cancer-related gene regulation (18 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (656 citations) and Ophthalmology (359 citations). Xiaoyan Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Stephen J. Weiss, Ichiro Ota, Eric R. Fearon, Jong In Yook, Hong‐Bing Shu, Liang‐Guo Xu, William D. Snider, Min Wu, Zhonghe Zhai and Lijia Guo. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

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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