Kimberly N. Gregory

981 total citations
7 papers, 338 citations indexed

About

Kimberly N. Gregory is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Kimberly N. Gregory has authored 7 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Kimberly N. Gregory's work include Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (6 papers) and Cardiomyopathy and Myosin Studies (3 papers). Kimberly N. Gregory is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Ion channel regulation and function (6 papers) and Cardiomyopathy and Myosin Studies (3 papers). Kimberly N. Gregory collaborates with scholars based in United States and Greece. Kimberly N. Gregory's co-authors include Evangelia G. Kranias, Kobra Haghighi, Guo‐Chang Fan, Federica del Monte, Bryan Mitton, Kari M. Brown, Deborah A. Rathz, Stephen B. Liggett, Ying Fang and Wen Zhao and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Kimberly N. Gregory

7 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly N. Gregory United States 6 263 221 49 31 24 7 338
Daniel A. Gray United States 8 194 0.7× 89 0.4× 55 1.1× 36 1.2× 30 1.3× 12 285
Debra L. Baker United States 7 321 1.2× 294 1.3× 38 0.8× 30 1.0× 38 1.6× 9 427
Lois L. Carl United States 12 503 1.9× 275 1.2× 60 1.2× 24 0.8× 15 0.6× 18 562
Karina Hougen Norway 9 260 1.0× 294 1.3× 64 1.3× 34 1.1× 29 1.2× 15 375
Gopireddy R. Reddy United States 10 228 0.9× 153 0.7× 48 1.0× 66 2.1× 8 0.3× 13 300
Gladys Chiappe de Cingolani Argentina 7 224 0.9× 206 0.9× 22 0.4× 62 2.0× 62 2.6× 11 317
Indra Lübkemeier Germany 8 255 1.0× 193 0.9× 39 0.8× 37 1.2× 15 0.6× 9 335
Lasse Skibsbye Denmark 14 388 1.5× 590 2.7× 90 1.8× 18 0.6× 37 1.5× 21 692
Giuseppe Lonardo Italy 9 219 0.8× 350 1.6× 48 1.0× 25 0.8× 16 0.7× 11 427
Nobuyuki Shiga Japan 10 125 0.5× 155 0.7× 37 0.8× 36 1.2× 4 0.2× 16 299

Countries citing papers authored by Kimberly N. Gregory

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly N. Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly N. Gregory. 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 Kimberly N. Gregory. The network helps show where Kimberly N. Gregory may publish in the future.

Co-authorship network of co-authors of Kimberly N. Gregory

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly N. Gregory. A scholar is included among the top collaborators of Kimberly N. Gregory 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 Kimberly N. Gregory. Kimberly N. Gregory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Arvanitis, Demetrios A., Elizabeth Vafiadaki, Guo‐Chang Fan, et al.. (2007). Histidine-rich Ca-binding protein interacts with sarcoplasmic reticulum Ca-ATPase. American Journal of Physiology-Heart and Circulatory Physiology. 293(3). H1581–H1589. 74 indexed citations
2.
Gregory, Kimberly N. & Evangelia G. Kranias. (2006). Targeting sarcoplasmic reticulum calcium handling proteins as therapy for cardiac disease.. PubMed. 47(3). 132–43. 4 indexed citations
3.
Gregory, Kimberly N., Kenneth S. Ginsburg, Ilona Bódi, et al.. (2006). Histidine-rich Ca binding protein: a regulator of sarcoplasmic reticulum calcium sequestration and cardiac function. Journal of Molecular and Cellular Cardiology. 40(5). 653–665. 53 indexed citations
4.
Fan, Guo‐Chang, Kimberly N. Gregory, Wen Zhao, Woo Jin Park, & Evangelia G. Kranias. (2004). Regulation of myocardial function by histidine-rich, calcium-binding protein. American Journal of Physiology-Heart and Circulatory Physiology. 287(4). H1705–H1711. 58 indexed citations
5.
Haghighi, Kobra, Kimberly N. Gregory, & Evangelia G. Kranias. (2004). Sarcoplasmic reticulum Ca-ATPase–phospholamban interactions and dilated cardiomyopathy. Biochemical and Biophysical Research Communications. 322(4). 1214–1222. 69 indexed citations
6.
Gregory, Kimberly N.. (2003). Increased particulate partitioning of PKCɛ reverses susceptibility of phospholamban knockout hearts to ischemic injury. Journal of Molecular and Cellular Cardiology. 36(2). 313–318. 16 indexed citations
7.
Rathz, Deborah A., Kimberly N. Gregory, Ying Fang, Kari M. Brown, & Stephen B. Liggett. (2003). Hierarchy of Polymorphic Variation and Desensitization Permutations Relative to β1- and β2-Adrenergic Receptor Signaling. Journal of Biological Chemistry. 278(12). 10784–10789. 64 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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