Danxi Li

561 total citations · 1 hit paper
20 papers, 427 citations indexed

About

Danxi Li is a scholar working on Polymers and Plastics, Oncology and Complementary and alternative medicine. According to data from OpenAlex, Danxi Li has authored 20 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Polymers and Plastics, 3 papers in Oncology and 3 papers in Complementary and alternative medicine. Recurrent topics in Danxi Li's work include Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Traditional Chinese Medicine Studies (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Danxi Li is often cited by papers focused on Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Traditional Chinese Medicine Studies (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Danxi Li collaborates with scholars based in China, United Kingdom and Japan. Danxi Li's co-authors include Randall J. Mrsny, David K. Ann, Martin McMahon, Huiyan Ma, H. Helen Lin, Jinhui Peng, Hongying Xia, Guo Chen, Nicola Colclough and Libo Zhang and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Danxi Li

20 papers receiving 419 citations

Hit Papers

A China dataset of soil properties for land surface model... 2025 2026 2025 5 10 15 20

Peers

Danxi Li
Comparison fields: 5 of 108
  • Molecular Biology 159
  • Neurology 153
  • Cancer Research 71
  • Oncology 47
  • Cell Biology 41
Replace Min Wen with:
Min Wen China
Yuanyuan Gong China
Hui Ma China
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Kalpana Velmurugan United States
Xiaona Ma China
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Citations per field, relative to Danxi Li
Danxi Li · 1×
Citations per year, relative to Danxi Li
Danxi Li · 1×

Countries citing papers authored by Danxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Danxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danxi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Danxi Li. A scholar is included among the top collaborators of Danxi 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 Danxi Li. Danxi 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
# Work Indexed citations
1
A China dataset of soil properties for land surface modelling (version 2, CSDLv2) breakdown →
20
2 1
3 10
4 26
5 11
6 2
7 8
8 8
9 10
10 2
11 23
12 1
13 16
14 1
15 1
16 45
17 7
18 7
19 191
20 37

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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