Daniel H. Cox

2.2k total citations · 1 hit paper
21 papers, 1.8k citations indexed

About

Daniel H. Cox is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel H. Cox has authored 21 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel H. Cox's work include Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (13 papers) and Neuroscience and Neuropharmacology Research (7 papers). Daniel H. Cox is often cited by papers focused on Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (13 papers) and Neuroscience and Neuropharmacology Research (7 papers). Daniel H. Cox collaborates with scholars based in United States and South Korea. Daniel H. Cox's co-authors include Richard W. Aldrich, Jianmin Cui, Lin Bao, Ericka C. Holmstrand, Richard H. Karas, Ping Lu, Yan Zhu, Jeffrey B. Hodgin, Oliver Smithies and Philip W. Shaul and has published in prestigious journals such as Science, Circulation and Biophysical Journal.

In The Last Decade

Daniel H. Cox

21 papers receiving 1.8k citations

Hit Papers

Abnormal Vascular Function and Hypertension in Mice Defic... 2002 2026 2010 2018 2002 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel H. Cox United States 18 1.3k 906 857 261 221 21 1.8k
Shinichiro Kokubun Japan 25 1.8k 1.4× 1.2k 1.3× 1.2k 1.4× 115 0.4× 157 0.7× 72 2.3k
Zohreh Hosseinzadeh Germany 20 1.1k 0.8× 446 0.5× 301 0.4× 172 0.7× 62 0.3× 73 1.8k
Jörg W. Wegener Germany 23 1.1k 0.8× 350 0.4× 614 0.7× 56 0.2× 80 0.4× 62 1.7k
Harley T. Kurata Canada 24 1.4k 1.0× 677 0.7× 686 0.8× 139 0.5× 141 0.6× 68 1.8k
C. Mironneau France 31 1.9k 1.4× 953 1.1× 852 1.0× 76 0.3× 93 0.4× 73 2.4k
Ilona Bódi United States 24 1.7k 1.3× 523 0.6× 1.2k 1.4× 70 0.3× 56 0.3× 46 2.2k
T B Rogers United States 26 1.4k 1.1× 484 0.5× 1.1k 1.2× 39 0.1× 141 0.6× 29 1.9k
Guilai Liu Germany 17 900 0.7× 311 0.3× 162 0.2× 120 0.5× 69 0.3× 30 1.6k
Lucie Parent Canada 25 1.6k 1.2× 737 0.8× 688 0.8× 65 0.2× 53 0.2× 59 1.9k
Olha M. Koval United States 26 1.6k 1.2× 416 0.5× 1.1k 1.3× 57 0.2× 60 0.3× 44 2.2k

Countries citing papers authored by Daniel H. Cox

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel H. Cox

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Cox. A scholar is included among the top collaborators of Daniel H. Cox based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel H. Cox. Daniel H. Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kuliopulos, Athan, Paul A. Gurbel, Jeffrey J. Rade, et al.. (2020). PAR1 (Protease-Activated Receptor 1) Pepducin Therapy Targeting Myocardial Necrosis in Coronary Artery Disease and Acute Coronary Syndrome Patients Undergoing Cardiac Catheterization. Arteriosclerosis Thrombosis and Vascular Biology. 40(12). 2990–3003. 21 indexed citations
2.
Shearer, Andrew, Elizabeth K. Fletcher, Nga Nguyen, et al.. (2019). PAR2 controls cholesterol homeostasis and lipid metabolism in nonalcoholic fatty liver disease. Molecular Metabolism. 29. 99–113. 27 indexed citations
3.
Cox, Daniel H.. (2014). Modeling a Ca 2+ Channel/BK Ca Channel Complex at the Single-Complex Level. Biophysical Journal. 107(12). 2797–2814. 28 indexed citations
5.
Zhang, Ping, András Gruber, Shogo Kasuda, et al.. (2012). Suppression of Arterial Thrombosis Without Affecting Hemostatic Parameters With a Cell-Penetrating PAR1 Pepducin. Circulation. 126(1). 83–91. 62 indexed citations
6.
Cox, Daniel H.. (2011). Ca2+-regulated ion channels. BMB Reports. 44(10). 635–646. 7 indexed citations
7.
Cox, Daniel H., et al.. (2009). Measuring the Influence of the BKCa β1 Subunit on Ca2+ Binding to the BKCa Channel. The Journal of General Physiology. 133(2). 139–150. 42 indexed citations
8.
Cox, Daniel H., et al.. (2008). Measurements of the BKCa Channel's High-Affinity Ca2+ Binding Constants: Effects of Membrane Voltage. The Journal of General Physiology. 132(5). 491–505. 71 indexed citations
9.
Kim, Hyun‐Ju, Hyun–Ho Lim, Seong‐Hwan Rho, et al.. (2007). Modulation of the Conductance-Voltage Relationship of the BKCa Channel by Mutations at the Putative Flexible Interface between Two RCK Domains. Biophysical Journal. 94(2). 446–456. 18 indexed citations
10.
Lü, Qing, et al.. (2006). RACK1 is a BKCa channel binding protein. American Journal of Physiology-Cell Physiology. 292(4). C1459–C1466. 24 indexed citations
11.
Bao, Lin & Daniel H. Cox. (2005). Gating and Ionic Currents Reveal How the BKCa Channel's Ca2+ Sensitivity Is Enhanced by its β1 Subunit. The Journal of General Physiology. 126(4). 393–412. 105 indexed citations
12.
Cox, Daniel H.. (2005). The BKCa Channel's Ca2+-binding Sites, Multiple Sites, Multiple Ions. The Journal of General Physiology. 125(3). 253–255. 23 indexed citations
13.
Bao, Lin, et al.. (2004). Mapping the BKCa Channel's “Ca2+ Bowl”. The Journal of General Physiology. 123(5). 475–489. 96 indexed citations
14.
Zhu, Yan, Ping Lu, Richard H. Karas, et al.. (2002). Abnormal Vascular Function and Hypertension in Mice Deficient in Estrogen Receptor β. Science. 295(5554). 505–508. 409 indexed citations breakdown →
15.
Bao, Lin, et al.. (2002). Elimination of the BKCa Channel's High-Affinity Ca2+ Sensitivity. The Journal of General Physiology. 120(2). 173–189. 106 indexed citations
16.
Cox, Daniel H. & Richard W. Aldrich. (2000). Role of the β1 Subunit in Large-Conductance Ca2+-Activated K+ Channel Gating Energetics. The Journal of General Physiology. 116(3). 411–432. 201 indexed citations
17.
Cui, Jianmin, Daniel H. Cox, & Richard W. Aldrich. (1997). Intrinsic Voltage Dependence and Ca2+ Regulation of mslo Large Conductance Ca-activated K+ Channels. The Journal of General Physiology. 109(5). 647–673. 235 indexed citations
18.
Cox, Daniel H., Jianmin Cui, & Richard W. Aldrich. (1997). Allosteric Gating of a Large Conductance Ca-activated K+ Channel. The Journal of General Physiology. 110(3). 257–281. 216 indexed citations
19.
Cox, Daniel H., Jianmin Cui, & Richard W. Aldrich. (1997). Separation of Gating Properties from Permeation and Block in mslo Large Conductance Ca-activated K+ Channels. The Journal of General Physiology. 109(5). 633–646. 57 indexed citations
20.
Santi, Mariarita, Daniel H. Cox, & Alessandro Guidotti. (1988). Heterogeneity of γ‐Aminobutyric Acid/Benzodiazepine/β‐Carboline Receptor Complex in Rat Spinal Cord. Journal of Neurochemistry. 50(4). 1080–1086. 31 indexed citations

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.

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