Danxi Li

561 citations
20 papers · 427 · 1 hit paper · h-index 10

Impact in

  • Neurology top 5%
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Cancer-related molecular mechanisms research

Papers in

Danxi Li

20 papers receiving 419 citations

Danxi Li's Hit Papers

A China dataset of soil properties for land surface modelling (version 2, CSDLv2) 2025 · 20 citations
200Years since publication5101520

Peers

Danxi Li
Comparison fields: 5 of 108
  • Neurology 153
  • Cancer Research 71
  • Pharmacology 29
  • Cell Biology 41
  • Immunology and Allergy 15
Replace Min Wen with:
Min Wen China
Ruilin Yang China
Yaping Xu China
Jinxuan Wang China
Wenqi Luo China
Konstantinos Xanthopoulos Greece
Hui Ma China
J. Tang China
Yuanyuan Gong China
Fengchan Han China
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Citations per field
00.5×7.5×
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Citations per year

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-authors

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

All Works

20 of 20 papers shown
#Work
1 2000191
2 201345
3 199737
4 202226
5 201723
6
A China dataset of soil properties for land surface modelling (version 2, CSDLv2)
Hit paper breakdown →
202520
7 201616
8 202111
9 201810
10 202310
11 20188
12 20208
13 20077
14 20137
15 20202
16 20182
17 20161
18 20231
19 20141
20 20141

About Danxi Li

Danxi Li is a scholar working on Polymers and Plastics, Oncology, Complementary and alternative medicine, Psychiatry and Mental health and Cancer Research, having authored 20 papers that have together received 427 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Textile materials and evaluations (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Biochemical effects in animals (2 papers), NF-κB Signaling Pathways (2 papers), Mechanical Behavior of Composites (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Neurology (153 citations), Cancer Research (71 citations), Pharmacology (29 citations), Cell Biology (41 citations) and Immunology and Allergy (15 citations). Danxi Li has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Randall J. Mrsny, H. Helen Lin, Huiyan Ma, Martin McMahon, David K. Ann, Bo Li, Jinhui Peng, Xinying Wang, Shenghui Guo and Nicola Colclough. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Molecular Neuroscience, The Journal of Cell Biology, Neuroscience Research and Frontiers in Immunology.

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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