Xiaodan Li

594 citations
22 papers · 479 · h-index 12

Impact in

Papers in

Xiaodan Li

22 papers receiving 477 citations

Peers

Xiaodan Li
Comparison fields: 5 of 79
  • Cancer Research 102
  • Biophysics 29
  • Biomedical Engineering 209
  • Infectious Diseases 85
  • Molecular Biology 206
Replace Lorena Vázquez‐Iglesias with:
Lorena Vázquez‐Iglesias Spain
Hongpan Xu China
Adeel Khan China
Aram Kang South Korea
Mohan Haleyurgirisetty United States
Benedetta Santini Italy
John C. Trefry United States
Yadveer S. Grewal Australia
Xiqin Yang China
Sijin Guo United States
Xiaodan Li relative to Lorena Vázquez‐Iglesias Spain Lorena Vázquez‐Iglesias's profile →
Citations per field
00.5×1.5×2.4×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021153
2 202142
3 201740
4 201335
5 201731
6 202022
7 201722
8 202121
9 201518
10 202113
11 202013
12 201513
13 201911
14 20229
15 20159
16 20207
17 20227
18 20255
19 20213
20 20243

About Xiaodan Li

Xiaodan Li is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Pulmonary and Respiratory Medicine and Genetics, having authored 22 papers that have together received 479 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Nanoplatforms for cancer theranostics (6 papers), Genetic and phenotypic traits in livestock (4 papers), RNA Research and Splicing (4 papers), Circular RNAs in diseases (4 papers), Photodynamic Therapy Research Studies (4 papers), Luminescence Properties of Advanced Materials (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Cancer Research (102 citations), Biophysics (29 citations), Biomedical Engineering (209 citations), Infectious Diseases (85 citations) and Molecular Biology (206 citations). Xiaodan Li has collaborated with scholars based in China, Netherlands and Egypt. Frequent co-authors include Xiaomin Liu, Ling Zhang, Chenguang Wang, Geyu Lu, Youlin Zhang, Meiling Zhang, Xu Yan, Yulei Chang, Xianggui Kong and Xiaomin Liu. Their work appears in journals such as Theriogenology, Scientific Reports, Journal of Materials Chemistry B, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms 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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