Chenxi Li
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Statistical Methods and Models
Papers in
-
- Statistical Methods and Inference 13
- Statistical Methods and Bayesian Inference 11
- Advanced Causal Inference Techniques 5
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- Olfactory and Sensory Function Studies 12
- Co-authors
- N. Maritza Dowling (2 shared papers)David Todem (6 shared papers)Zhehui Luo (17 shared papers)Honglei Chen (19 shared papers)Rick Chappell (2 shared papers)Daniel M. Bolt (1 shared paper)Sien Deng (1 shared paper)Eleanor M. Simonsick (10 shared papers)
- Journals
- Statistical Methods in Medical Research (4 papers)PLoS ONE (3 papers)The Journals of Gerontology Series A (3 papers)Biometrics (3 papers)Movement Disorders (2 papers)
- Partner nations
- United StatesChinaMalawi
In The Last Decade
Chenxi Li
55 papers receiving 657 citations
Peers
Comparison fields: 5 of 126
- Aging 26
- Statistics and Probability 103
- Sensory Systems 56
- Neurology 42
- Reproductive Medicine 22
Countries citing papers authored by Chenxi Li
This map shows the geographic impact of Chenxi 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 Chenxi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxi Li more than expected).
Fields of papers citing papers by Chenxi Li
This network shows the impact of papers produced by Chenxi 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 Chenxi Li. The network helps show where Chenxi Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxi 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 59 | |
| 2 | 2021 | 53 | |
| 3 | 2020 | 51 | |
| 4 | 2016 | 50 | |
| 5 | 2010 | 40 | |
| 6 | 2014 | 28 | |
| 7 | 2019 | 24 | |
| 8 | 2022 | 20 | |
| 9 | 2015 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2015 | 18 | |
| 12 | 2018 | 18 | |
| 13 | 2021 | 16 | |
| 14 | 2013 | 14 | |
| 15 | 2017 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2024 | 11 |
About Chenxi Li
Chenxi Li is a scholar working on Statistics and Probability, Sensory Systems, Molecular Biology, Genetics and Neurology, having authored 60 papers that have together received 663 indexed citations. Recurring topics across this work include Statistical Methods and Inference (13 papers), Olfactory and Sensory Function Studies (12 papers), Statistical Methods and Bayesian Inference (11 papers), Advanced Causal Inference Techniques (5 papers), Genetic Associations and Epidemiology (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Bayesian Methods and Mixture Models (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Aging (26 citations), Statistics and Probability (103 citations), Sensory Systems (56 citations), Neurology (42 citations) and Reproductive Medicine (22 citations). Chenxi Li has collaborated with scholars based in United States, China and Malawi. Frequent co-authors include N. Maritza Dowling, David Todem, Zhehui Luo, Honglei Chen, Rick Chappell, Daniel M. Bolt, Sien Deng, Eleanor M. Simonsick, Jason P. Fine and Ying Wei. Their work appears in journals such as Statistical Methods in Medical Research, PLoS ONE, The Journals of Gerontology Series A, Biometrics and Movement Disorders.
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.