Noah Weisleder
Impact in
- Sensory Systems top 1%
- Ion Channels and Receptors
- Cell Biology top 1%
Papers in
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- Ion Channels and Receptors 9
-
- Genetic Neurodegenerative Diseases 9
- Co-authors
- Jianjie MaHiroshi TakeshimaYassemi CapetanakiZui PanShinji KomazakiPei‐Hui LinXiaoli ZhaoChuanxi Cai
- Journals
- Biophysical Journal (10 papers)The FASEB Journal (8 papers)Journal of Biological Chemistry (7 papers)Journal of Visualized Experiments (6 papers)Journal of Molecular and Cellular Cardiology (5 papers)
- Partner nations
- United StatesJapanChina
In The Last Decade
Noah Weisleder
104 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 130
- Sensory Systems 432
- Cell Biology 1.0k
- Molecular Biology 3.5k
- Cardiology and Cardiovascular Medicine 1.2k
- Cellular and Molecular Neuroscience 780
Countries citing papers authored by Noah Weisleder
This map shows the geographic impact of Noah Weisleder'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 Noah Weisleder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Weisleder more than expected).
Fields of papers citing papers by Noah Weisleder
This network shows the impact of papers produced by Noah Weisleder. 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 Noah Weisleder. The network helps show where Noah Weisleder may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Weisleder, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 19 | |
| 6 | 2020 | 8 | |
| 7 | 2016 | 39 | |
| 8 | 2015 | 25 | |
| 9 | 2014 | 0 | |
| 10 | Expression levels of sarcolemmal membrane repair proteins following prolonged exercise training in mice. | 2013 | 3 |
| 11 | 2013 | 18 | |
| 12 | 2012 | 110 | |
| 13 | 2012 | 1 | |
| 14 | 2011 | 8 | |
| 15 | 2011 | 84 | |
| 16 | 2010 | 162 | |
| 17 | 2010 | 28 | |
| 18 | 2009 | 17 | |
| 19 | 2008 | 15 | |
| 20 | 2006 | 17 |
About Noah Weisleder
Noah Weisleder is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology and Rehabilitation, having authored 111 papers that have together received 5.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (39 papers), Muscle Physiology and Disorders (33 papers), Cardiomyopathy and Myosin Studies (11 papers), Cardiac electrophysiology and arrhythmias (10 papers), Genetic Neurodegenerative Diseases (9 papers), Cellular transport and secretion (9 papers), Ion Channels and Receptors (9 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Sensory Systems (432 citations), Cell Biology (1.0k citations), Molecular Biology (3.5k citations), Cardiology and Cardiovascular Medicine (1.2k citations) and Cellular and Molecular Neuroscience (780 citations). Noah Weisleder has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Jianjie Ma, Hiroshi Takeshima, Yassemi Capetanaki, Zui Pan, Shinji Komazaki, Pei‐Hui Lin, Xiaoli Zhao, Chuanxi Cai, Jae‐Kyun Ko and Miyuki Nishi. Their work appears in journals such as Biophysical Journal, The FASEB Journal, Journal of Biological Chemistry, Journal of Visualized Experiments and Journal of Molecular and Cellular Cardiology.
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.