Katharine L. Chu
- Sensory Systems top 1%
- Ion Channels and Receptors 11
- Physiology top 1%
- Pain Mechanisms and Treatments 19
- Adenosine and Purinergic Signaling 4
- Physiology top 5%
- Pain Mechanisms and Treatments 19
- Adenosine and Purinergic Signaling 4
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- Neuropeptides and Animal Physiology 3
- Endocrine and Autonomic Systems top 10%
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- Ion channel regulation and function 6
- Pharmacological Receptor Mechanisms and Effects 3
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- Exercise and Physiological Responses 3
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- Musculoskeletal pain and rehabilitation 3
- Co-authors
- Steve McGaraughtyMichael F. JarvisConnie R. FaltynekMichael E. KortChang ZhuPhilip R. KymPrisca HonoréCarol T. Wismer
- Journals
- Journal of Neurophysiology (6 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)Pain (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Katharine L. Chu
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 82
- Sensory Systems 449
- Physiology 234
- Physiology 647
- Cellular and Molecular Neuroscience 319
- Endocrine and Autonomic Systems 94
Countries citing papers authored by Katharine L. Chu
This map shows the geographic impact of Katharine L. Chu'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 Katharine L. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katharine L. Chu more than expected).
Fields of papers citing papers by Katharine L. Chu
This network shows the impact of papers produced by Katharine L. Chu. 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 Katharine L. Chu. The network helps show where Katharine L. Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katharine L. Chu, 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 | 2018 | 14 | |
| 2 | 2014 | 60 | |
| 3 | 2013 | 38 | |
| 4 | 2013 | 9 | |
| 5 | 2012 | 32 | |
| 6 | 2012 | 30 | |
| 7 | 2011 | 15 | |
| 8 | 2011 | 97 | |
| 9 | 2010 | 40 | |
| 10 | 2010 | 19 | |
| 11 | 2010 | 147 | |
| 12 | 2008 | 47 | |
| 13 | 2007 | 69 | |
| 14 | 2005 | 39 | |
| 15 | 2004 | 38 | |
| 16 | 2003 | 155 | |
| 17 | 2002 | 17 | |
| 18 | 2002 | 48 | |
| 19 | 2001 | 37 | |
| 20 | 2001 | 28 |
About Katharine L. Chu
Katharine L. Chu is a scholar working on Sensory Systems, Physiology, Physiology, Rehabilitation and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (19 papers), Ion Channels and Receptors (11 papers), Ion channel regulation and function (6 papers), Adenosine and Purinergic Signaling (4 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Exercise and Physiological Responses (3 papers), Musculoskeletal pain and rehabilitation (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Sensory Systems (449 citations), Physiology (234 citations), Physiology (647 citations), Cellular and Molecular Neuroscience (319 citations) and Endocrine and Autonomic Systems (94 citations). Katharine L. Chu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Steve McGaraughty, Michael F. Jarvis, Connie R. Faltynek, Michael E. Kort, Chang Zhu, Philip R. Kym, Prisca Honoré, Carol T. Wismer, Richard J. Perner and Marlon Cowart. Their work appears in journals such as Journal of Neurophysiology, Journal of Pharmacology and Experimental Therapeutics, Pain, Brain Research and Cancer.
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.