Lan Wei‐LaPierre
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Aging top 10%
Papers in
-
- Muscle Physiology and Disorders 5
- Mitochondrial Function and Pathology 5
- Ion channel regulation and function 4
- ATP Synthase and ATPases Research 2
-
- Adipose Tissue and Metabolism 4
- Co-authors
- Robert T. Dirksen (13 shared papers)Wenxuan Liu (2 shared papers)Alanna Klose (2 shared papers)Joe V. Chakkalakal (2 shared papers)Feliciano Protasi (4 shared papers)Simona Boncompagni (2 shared papers)Ellie M. Carrell (1 shared paper)Shey‐Shing Sheu (2 shared papers)
- Journals
- The FASEB Journal (2 papers)The Journal of General Physiology (2 papers)eLife (2 papers)Human Molecular Genetics (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Lan Wei‐LaPierre
19 papers receiving 786 citations
Peers
Comparison fields: 5 of 77
- Sensory Systems 104
- Aging 25
- Genetics 135
- Rehabilitation 71
- Cellular and Molecular Neuroscience 169
Countries citing papers authored by Lan Wei‐LaPierre
This map shows the geographic impact of Lan Wei‐LaPierre'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 Wei‐LaPierre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wei‐LaPierre more than expected).
Fields of papers citing papers by Lan Wei‐LaPierre
This network shows the impact of papers produced by Lan Wei‐LaPierre. 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 Wei‐LaPierre. The network helps show where Lan Wei‐LaPierre may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Wei‐LaPierre, 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 | 2017 | 145 | |
| 2 | 2015 | 122 | |
| 3 | 2013 | 116 | |
| 4 | 2020 | 69 | |
| 5 | 2013 | 68 | |
| 6 | 2014 | 60 | |
| 7 | 2016 | 52 | |
| 8 | 2015 | 36 | |
| 9 | 2015 | 34 | |
| 10 | 2016 | 26 | |
| 11 | 2015 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 9 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2015 | 1 | |
| 20 | 2025 | 0 |
About Lan Wei‐LaPierre
Lan Wei‐LaPierre is a scholar working on Molecular Biology, Physiology, Biomedical Engineering, Neurology and Cardiology and Cardiovascular Medicine, having authored 20 papers that have together received 787 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Mitochondrial Function and Pathology (5 papers), Adipose Tissue and Metabolism (4 papers), Ion channel regulation and function (4 papers), Muscle activation and electromyography studies (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Sensory Systems (104 citations), Aging (25 citations), Genetics (135 citations), Rehabilitation (71 citations) and Cellular and Molecular Neuroscience (169 citations). Lan Wei‐LaPierre has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Robert T. Dirksen, Wenxuan Liu, Alanna Klose, Joe V. Chakkalakal, Feliciano Protasi, Simona Boncompagni, Ellie M. Carrell, Shey‐Shing Sheu, Wang Wang and Guohua Gong. Their work appears in journals such as The FASEB Journal, The Journal of General Physiology, eLife, Human Molecular Genetics and Antioxidants and Redox Signaling.
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.