Danni Li
Impact in
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- Metabolomics and Mass Spectrometry Studies
- Advanced biosensing and bioanalysis techniques
- Glycosylation and Glycoproteins Research
- Extracellular vesicles in disease
Papers in
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- Glycosylation and Glycoproteins Research 5
- Extracellular vesicles in disease 4
- Ubiquitin and proteasome pathways 4
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- MicroRNA in disease regulation 4
- Co-authors
- Michelle Mielke (11 shared papers)Daniel W. Chan (5 shared papers)Angela M. Ferguson (2 shared papers)Fei Tan (4 shared papers)Álvaro Alonso (9 shared papers)Fang Yu (11 shared papers)Jeffrey R. Misialek (6 shared papers)David S. Knopman (7 shared papers)
- Journals
- Clinical Proteomics (4 papers)Clinical Chemistry (4 papers)Biomedicine & Pharmacotherapy (3 papers)Alzheimer s & Dementia (3 papers)Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Danni Li
111 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Biological Psychiatry 22
- Molecular Biology 635
- Bioengineering 48
- Electrochemistry 52
- Cell Biology 135
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-authors
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
Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 114 | |
| 2 | 2003 | 101 | |
| 3 | 2017 | 100 | |
| 4 | 2014 | 75 | |
| 5 | 2016 | 59 | |
| 6 | 2010 | 57 | |
| 7 | 2020 | 52 | |
| 8 | 2013 | 48 | |
| 9 | 2013 | 43 | |
| 10 | 2014 | 43 | |
| 11 | 2024 | 40 | |
| 12 | 2016 | 37 | |
| 13 | 2017 | 36 | |
| 14 | 2023 | 34 | |
| 15 | 2015 | 30 | |
| 16 | 2019 | 28 | |
| 17 | 2017 | 27 | |
| 18 | 2012 | 26 | |
| 19 | 2023 | 25 | |
| 20 | 2021 | 25 |
About Danni Li
Danni Li is a scholar working on Molecular Biology, Cancer Research, Physiology, Psychiatry and Mental health and Pulmonary and Respiratory Medicine, having authored 124 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Dementia and Cognitive Impairment Research (7 papers), Glycosylation and Glycoproteins Research (5 papers), Extracellular vesicles in disease (4 papers), Biotin and Related Studies (4 papers), Ubiquitin and proteasome pathways (4 papers), Cystic Fibrosis Research Advances (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Biological Psychiatry (22 citations), Molecular Biology (635 citations), Bioengineering (48 citations), Electrochemistry (52 citations) and Cell Biology (135 citations). Danni Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Michelle Mielke, Daniel W. Chan, Angela M. Ferguson, Fei Tan, Álvaro Alonso, Fang Yu, Jeffrey R. Misialek, David S. Knopman, Yiqun Han and Lisa Miller Wruck. Their work appears in journals such as Clinical Proteomics, Clinical Chemistry, Biomedicine & Pharmacotherapy, Alzheimer s & Dementia and Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring.
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.