Danni Li
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 10
- Metabolomics and Mass Spectrometry Studies 6
- Ubiquitin and proteasome pathways 5
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 5
- Cell Biology top 10%
- Biotin and Related Studies 5
- Physiology top 10%
- Alzheimer's disease research and treatments 15
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- Dementia and Cognitive Impairment Research 11
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- Neonatal Respiratory Health Research 5
- Co-authors
- Daniel W. ChanLori J. SokollMichelle M. MielkeHui ZhangEdgar A. ArriagaLaDora V. ThompsonTimothy J. GriffinZhen Zhang
- Journals
- Clinical Proteomics (5 papers)Clinical Chemistry (4 papers)American Journal of Clinical Pathology (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Danni Li
113 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.1k
- Spectroscopy 266
- Cell Biology 212
- Biological Psychiatry 30
- Physiology 306
Countries citing papers authored by Danni Li
This map shows the geographic impact of Danni 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 Danni Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Li more than expected).
Fields of papers citing papers by Danni Li
This network shows the impact of papers produced by Danni 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 Danni Li. The network helps show where Danni Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danni 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 28 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 8 | |
| 16 | 2023 | 18 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 6 | |
| 19 | 2017 | 22 | |
| 20 | 2016 | 7 |
About Danni Li
Danni Li is a scholar working on Physiology, Psychiatry and Mental health, Molecular Biology, Biological Psychiatry and Geriatrics and Gerontology, having authored 127 papers that have together received 2.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Dementia and Cognitive Impairment Research (11 papers), Glycosylation and Glycoproteins Research (10 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Biotin and Related Studies (5 papers), Ubiquitin and proteasome pathways (5 papers), Advanced Proteomics Techniques and Applications (5 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Spectroscopy (266 citations), Cell Biology (212 citations), Biological Psychiatry (30 citations) and Physiology (306 citations). Danni Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Daniel W. Chan, Lori J. Sokoll, Michelle M. Mielke, Hui Zhang, Edgar A. Arriaga, LaDora V. Thompson, Timothy J. Griffin, Zhen Zhang, Hongwei Xie and Angela M. Ferguson. Their work appears in journals such as Clinical Proteomics, Clinical Chemistry, American Journal of Clinical Pathology, Biomedicine & Pharmacotherapy and Journal of Proteome Research.
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.