Xiaodan Li

23 papers receiving 520 citations

Peers

Xiaodan Li
Comparison fields: 5 of 78
  • Cancer Research 89
  • Biophysics 30
  • Infectious Diseases 91
  • Biomedical Engineering 221
  • Electronic, Optical and Magnetic Materials 57
Replace Lorena Vázquez‐Iglesias with:
Lorena Vázquez‐Iglesias Spain
Huawei Xia China
Xiqin Yang China
Aram Kang South Korea
Peiwen Fu China
Mohan Haleyurgirisetty United States
Qiumei Wu China
Shuwei Shen China
Kun Xiao China
Jisun Ki South Korea
Xiaodan Li relative to Lorena Vázquez‐Iglesias Spain Lorena Vázquez‐Iglesias's profile →
Citations per field
00.5×1.5×2×2.4×
Lorena Vázquez‐Iglesias · 1×
Citations per year

Countries citing papers authored by Xiaodan Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021171
2 202144
3 201742
4 201335
5 201733
6 202125
7 202023
8 201722
9 201520
10 201514
11 202113
12 202013
13 201912
14 202511
15 20159
16 20229
17 20208
18 20227
19 20246
20 20215

About Xiaodan Li

Xiaodan Li is a scholar working on Cancer Research, Agronomy and Crop Science, Immunology, Biomedical Engineering and Molecular Biology, having authored 23 papers that have together received 527 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Nanoplatforms for cancer theranostics (6 papers), Photodynamic Therapy Research Studies (4 papers), Genetic and phenotypic traits in livestock (4 papers), RNA Research and Splicing (4 papers), Luminescence Properties of Advanced Materials (3 papers), Circular RNAs in diseases (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Cancer Research (89 citations), Biophysics (30 citations), Infectious Diseases (91 citations), Biomedical Engineering (221 citations) and Electronic, Optical and Magnetic Materials (57 citations). Xiaodan Li has collaborated with scholars based in China, Netherlands and Latvia. Frequent co-authors include Xiaomin Liu, Chenguang Wang, Ling Zhang, Xu Yan, Meiling Zhang, Geyu Lu, Youlin Zhang, Yulei Chang, Xianggui Kong and Xiaomin Liu. Their work appears in journals such as Theriogenology, Journal of Materials Chemistry B, Journal of Biochemical and Molecular Toxicology, Journal of Zhejiang University SCIENCE B and International Journal of Biological Macromolecules.

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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