Lan Li
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Monoclonal and Polyclonal Antibodies Research
- Health Informatics top 10%
Papers in
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- MRI in cancer diagnosis 8
- Monoclonal and Polyclonal Antibodies Research 7
- Radiomics and Machine Learning in Medical Imaging 5
- Foreign Body Medical Cases 2
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- Glycosylation and Glycoproteins Research 4
- Co-authors
- Maryellen L. Giger (7 shared papers)Gillian M. Newstead (6 shared papers)Hui Li (5 shared papers)Neha Bhooshan (4 shared papers)Weiqin Chen (1 shared paper)Benny Chang (1 shared paper)Xinyu Wu (1 shared paper)Mark W. Sleeman (1 shared paper)
- Journals
- PLoS ONE (3 papers)Journal of Magnetic Resonance Imaging (2 papers)Molecular and Cellular Biochemistry (2 papers)Biochemical and Biophysical Research Communications (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lan Li
44 papers receiving 999 citations
Peers
Comparison fields: 5 of 111
- Radiology, Nuclear Medicine and Imaging 383
- Health Informatics 15
- Health, Toxicology and Mutagenesis 107
- Biochemistry 50
- Transplantation 11
Countries citing papers authored by Lan Li
This map shows the geographic impact of Lan 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 Lan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Li more than expected).
Fields of papers citing papers by Lan Li
This network shows the impact of papers produced by Lan 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 Lan Li. The network helps show where Lan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 114 | |
| 2 | 2017 | 95 | |
| 3 | 2013 | 80 | |
| 4 | 2007 | 61 | |
| 5 | 2015 | 58 | |
| 6 | 2006 | 46 | |
| 7 | 1999 | 45 | |
| 8 | 2010 | 44 | |
| 9 | 1999 | 43 | |
| 10 | 2011 | 35 | |
| 11 | 2011 | 35 | |
| 12 | 2011 | 32 | |
| 13 | 2018 | 32 | |
| 14 | 2003 | 30 | |
| 15 | 2012 | 27 | |
| 16 | 2016 | 27 | |
| 17 | 2020 | 24 | |
| 18 | 2008 | 23 | |
| 19 | 2013 | 19 | |
| 20 | 2016 | 17 |
About Lan Li
Lan Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology, Immunology and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Glycosylation and Glycoproteins Research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Foreign Body Medical Cases (2 papers), Flavonoids in Medical Research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (383 citations), Health Informatics (15 citations), Health, Toxicology and Mutagenesis (107 citations), Biochemistry (50 citations) and Transplantation (11 citations). Lan Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Maryellen L. Giger, Gillian M. Newstead, Hui Li, Neha Bhooshan, Weiqin Chen, Benny Chang, Xinyu Wu, Mark W. Sleeman, Lawrence Chan and Youming Li. Their work appears in journals such as PLoS ONE, Journal of Magnetic Resonance Imaging, Molecular and Cellular Biochemistry, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.
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.