Danxi Li
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
- Neurological Disease Mechanisms and Treatments
-
- Cancer-related molecular mechanisms research
Papers in
-
- Textile materials and evaluations 2
- Oncology 3
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Randall J. Mrsny (1 shared paper)Huiyan Ma (1 shared paper)H. Helen Lin (1 shared paper)David K. Ann (1 shared paper)Martin McMahon (1 shared paper)Xinying Wang (1 shared paper)Guo Chen (1 shared paper)Hongying Xia (1 shared paper)
- Journals
- Drug Metabolism and Disposition (3 papers)Protein Expression and Purification (1 paper)Biochemical and Biophysical Research Communications (1 paper)Frontiers in Immunology (1 paper)Textile Research Journal (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Danxi Li
20 papers receiving 443 citations
Danxi Li's Hit Papers
Peers
Comparison fields: 5 of 108
- Neurology 159
- Cancer Research 63
- Immunology and Allergy 20
- Pharmacology 25
- Cell Biology 43
Countries citing papers authored by Danxi Li
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 206 | |
| 2 | 2013 | 46 | |
| 3 | 1997 | 37 | |
| 4 | 2022 | 27 | |
| 5 | 2017 | 24 | |
| 6 | A China dataset of soil properties for land surface modelling (version 2, CSDLv2) Hit paper breakdown → | 2025 | 23 |
| 7 | 2016 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 12 | |
| 10 | 2018 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2007 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2013 | 7 | |
| 15 | 2020 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2014 | 1 |
About Danxi Li
Danxi Li is a scholar working on Polymers and Plastics, Oncology, Complementary and alternative medicine, Cancer Research and Molecular Biology, having authored 20 papers that have together received 456 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (3 papers), Mechanical Behavior of Composites (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), NF-κB Signaling Pathways (2 papers), Biochemical effects in animals (2 papers) and Textile materials and evaluations (2 papers). The work is most often cited by research in Neurology (159 citations), Cancer Research (63 citations), Immunology and Allergy (20 citations), Pharmacology (25 citations) and Cell Biology (43 citations). Danxi Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Randall J. Mrsny, Huiyan Ma, H. Helen Lin, David K. Ann, Martin McMahon, Xinying Wang, Guo Chen, Hongying Xia, Bo Li and Jinhui Peng. Their work appears in journals such as Drug Metabolism and Disposition, Protein Expression and Purification, Biochemical and Biophysical Research Communications, Frontiers in Immunology and Textile Research Journal.
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.