Daniel H. Cox
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
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- Cardiac electrophysiology and arrhythmias
Papers in
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- Cardiac electrophysiology and arrhythmias 13
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- Ion channel regulation and function 14
- Co-authors
- Richard W. Aldrich (4 shared papers)Jianmin Cui (3 shared papers)Lin Bao (5 shared papers)Ericka C. Holmstrand (2 shared papers)Richard H. Karas (2 shared papers)Yan Zhu (1 shared paper)Peter Thorén (1 shared paper)Oliver Smithies (1 shared paper)
- Journals
- The Journal of General Physiology (10 papers)Biophysical Journal (2 papers)BMB Reports (1 paper)Channels (1 paper)Science (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Daniel H. Cox
21 papers receiving 1.8k citations
Daniel H. Cox's Hit Papers
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 906
- Cardiology and Cardiovascular Medicine 857
- Sensory Systems 104
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 221
Countries citing papers authored by Daniel H. Cox
This map shows the geographic impact of Daniel H. Cox'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 Daniel H. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Cox more than expected).
Fields of papers citing papers by Daniel H. Cox
This network shows the impact of papers produced by Daniel H. Cox. 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 Daniel H. Cox. The network helps show where Daniel H. Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel H. Cox, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Abnormal Vascular Function and Hypertension in Mice Deficient in Estrogen Receptor β Hit paper breakdown → | 2002 | 409 |
| 2 | 1997 | 235 | |
| 3 | 1997 | 216 | |
| 4 | 2000 | 201 | |
| 5 | 2002 | 106 | |
| 6 | 2005 | 105 | |
| 7 | 2004 | 96 | |
| 8 | 2008 | 71 | |
| 9 | 2012 | 62 | |
| 10 | 1997 | 57 | |
| 11 | 2009 | 42 | |
| 12 | 1988 | 31 | |
| 13 | 2014 | 28 | |
| 14 | 2019 | 27 | |
| 15 | 2006 | 24 | |
| 16 | 2005 | 23 | |
| 17 | 2020 | 21 | |
| 18 | 2007 | 18 | |
| 19 | 2014 | 11 | |
| 20 | 2011 | 7 |
About Daniel H. Cox
Daniel H. Cox is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Sensory Systems and Hematology, having authored 21 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (13 papers), Neuroscience and Neural Engineering (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Ion Channels and Receptors (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (906 citations), Cardiology and Cardiovascular Medicine (857 citations), Sensory Systems (104 citations), Molecular Biology (1.3k citations) and Endocrinology, Diabetes and Metabolism (221 citations). Daniel H. Cox has collaborated with scholars based in United States and South Korea. Frequent co-authors include Richard W. Aldrich, Jianmin Cui, Lin Bao, Ericka C. Holmstrand, Richard H. Karas, Yan Zhu, Peter Thorén, Oliver Smithies, Jeffrey B. Hodgin and Michael E. Mendelsohn. Their work appears in journals such as The Journal of General Physiology, Biophysical Journal, BMB Reports, Channels and Science.
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.