Bradford E. Peercy

1.0k total citations
33 papers, 738 citations indexed

About

Bradford E. Peercy is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Bradford E. Peercy has authored 33 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Bradford E. Peercy's work include Pancreatic function and diabetes (10 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Ion channel regulation and function (8 papers). Bradford E. Peercy is often cited by papers focused on Pancreatic function and diabetes (10 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Ion channel regulation and function (8 papers). Bradford E. Peercy collaborates with scholars based in United States, United Kingdom and Germany. Bradford E. Peercy's co-authors include Martin Hewison, Rene F. Chun, John S. Adams, Carrie M. Nielson, Eric Orwoll, James P. Keener, Kenneth W. Spitzer, Richard D. Vaughan‐Jones, Arthur Sherman and Michelle Starz‐Gaiano and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Physiology.

In The Last Decade

Bradford E. Peercy

29 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bradford E. Peercy United States 11 370 227 135 107 104 33 738
Lisa Nguyen United States 16 552 1.5× 457 2.0× 197 1.5× 72 0.7× 68 0.7× 34 1.3k
J. Michael O’Donnell United States 24 161 0.4× 655 2.9× 83 0.6× 376 3.5× 153 1.5× 54 1.5k
Isabel García Méndez Mexico 18 186 0.5× 134 0.6× 49 0.4× 96 0.9× 46 0.4× 58 1.0k
Rémy Sapin France 23 116 0.3× 310 1.4× 119 0.9× 75 0.7× 157 1.5× 40 1.4k
Adel B. Elmoselhi United Arab Emirates 17 116 0.3× 280 1.2× 24 0.2× 255 2.4× 84 0.8× 51 741
Kyung Ho Han South Korea 15 85 0.2× 320 1.4× 29 0.2× 106 1.0× 32 0.3× 34 762
C. Meier Switzerland 17 118 0.3× 467 2.1× 60 0.4× 186 1.7× 112 1.1× 50 1.4k
Jeffrey W. Keller Switzerland 9 66 0.2× 263 1.2× 14 0.1× 63 0.6× 99 1.0× 21 690
A. Schmid Austria 26 74 0.2× 630 2.8× 33 0.2× 743 6.9× 177 1.7× 68 2.0k
B. Tulloch United Kingdom 20 83 0.2× 992 4.4× 65 0.5× 234 2.2× 163 1.6× 38 1.6k

Countries citing papers authored by Bradford E. Peercy

Since Specialization
Citations

This map shows the geographic impact of Bradford E. Peercy'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 Bradford E. Peercy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bradford E. Peercy more than expected).

Fields of papers citing papers by Bradford E. Peercy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bradford E. Peercy. 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 Bradford E. Peercy. The network helps show where Bradford E. Peercy may publish in the future.

Co-authorship network of co-authors of Bradford E. Peercy

This figure shows the co-authorship network connecting the top 25 collaborators of Bradford E. Peercy. A scholar is included among the top collaborators of Bradford E. Peercy 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 Bradford E. Peercy. Bradford E. Peercy 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.
Peercy, Bradford E., et al.. (2021). Flipping the switch on the hub cell: Islet desynchronization through cell silencing. PLoS ONE. 16(4). e0248974–e0248974. 11 indexed citations
2.
3.
Peercy, Bradford E. & Michelle Starz‐Gaiano. (2019). Clustered cell migration: Modeling the model system of Drosophila border cells. Seminars in Cell and Developmental Biology. 100. 167–176. 11 indexed citations
4.
Cooley, Jessica, et al.. (2018). Effects of cell packing on chemoattractant distribution within a tissue. AIMS Biophysics. 5(1). 1–21. 2 indexed citations
5.
Wang, William, et al.. (2017). The Interaction of Calcium and Metabolic Oscillations in Pancreatic Beta-cells. ISU Red - Research and eData (Illinois State University). 3(1). 1 indexed citations
6.
Peercy, Bradford E., et al.. (2016). Investigating How Calcium Diffusion Affects Metabolic Oscillations and Synchronization of Pancreatic Beta Cells. ISU Red - Research and eData (Illinois State University). 2(1). 2 indexed citations
7.
Peercy, Bradford E., Arthur Sherman, & Richard Bertram. (2015). Modeling of Glucose-Induced cAMP Oscillations in Pancreatic β Cells: cAMP Rocks when Metabolism Rolls. Biophysical Journal. 109(2). 439–449. 10 indexed citations
8.
Gobbert, Matthias K., et al.. (2015). Time-stepping techniques to enable the simulation of bursting behavior in a physiologically realistic computational islet. Mathematical Biosciences. 263. 1–17. 2 indexed citations
9.
Stonko, David P., et al.. (2015). A Mathematical Model of Collective Cell Migration in a Three-Dimensional, Heterogeneous Environment. PLoS ONE. 10(4). e0122799–e0122799. 24 indexed citations
10.
McCauley, Michael, et al.. (2015). Spontaneous Calcium Release in Cardiac Myocytes: Store Overload and Electrical Dynamics. ISU Red - Research and eData (Illinois State University). 1(1). 7 indexed citations
11.
Weideman, Ann Marie, et al.. (2015). Tissue landscape alters adjacent cell fates during Drosophila egg development. Nature Communications. 6(1). 7356–7356. 10 indexed citations
12.
Chun, Rene F., Bradford E. Peercy, Eric Orwoll, et al.. (2013). Vitamin D and DBP: The free hormone hypothesis revisited. The Journal of Steroid Biochemistry and Molecular Biology. 144. 132–137. 322 indexed citations
13.
Chun, Rene F., Bradford E. Peercy, John S. Adams, & Martin Hewison. (2012). Vitamin D Binding Protein and Monocyte Response to 25-Hydroxyvitamin D and 1,25-Dihydroxyvitamin D: Analysis by Mathematical Modeling. PLoS ONE. 7(1). e30773–e30773. 81 indexed citations
14.
Handy, Gregory & Bradford E. Peercy. (2012). Extending the IP3 receptor model to include competition with partial agonists. Journal of Theoretical Biology. 310. 97–104. 1 indexed citations
15.
Peercy, Bradford E., et al.. (2011). COMSOL Modeling of Groundwater Flow and Contaminant Transport in Two-Dimensional Geometries With Heterogeneities. Maryland Shared Open Access Repository (USMAI Consortium). 3 indexed citations
16.
Peercy, Bradford E. & Arthur Sherman. (2010). How Pancreatic β-Cells Discriminate Long and Short Timescale cAMP Signals. Biophysical Journal. 99(2). 398–406. 5 indexed citations
17.
Zhang, Min, Bernard J. Fendler, Bradford E. Peercy, et al.. (2008). Long Lasting Synchronization of Calcium Oscillations by Cholinergic Stimulation in Isolated Pancreatic Islets. Biophysical Journal. 95(10). 4676–4688. 40 indexed citations
18.
Zaniboni, Massimiliano, et al.. (2002). Intrinsic mobility of H+ ions (D-app(H)) in guinea-pig ventricular myocytes. Biophysical Journal. 82. 1 indexed citations
19.
Vaughan‐Jones, Richard D., Bradford E. Peercy, James P. Keener, & Kenneth W. Spitzer. (2002). Intrinsic H+ ion mobility in the rabbit ventricular myocyte. The Journal of Physiology. 541(1). 139–158. 81 indexed citations
20.
Spitzer, Kenneth W., et al.. (2002). Facilitation of intracellular H+ ion mobility by CO2/HCO3− in rabbit ventricular myocytes is regulated by carbonic anhydrase. The Journal of Physiology. 541(1). 159–167. 57 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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