David E. Montgomery

611 total citations
17 papers, 494 citations indexed

About

David E. Montgomery is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Civil and Structural Engineering. According to data from OpenAlex, David E. Montgomery has authored 17 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 3 papers in Civil and Structural Engineering. Recurrent topics in David E. Montgomery's work include Cardiomyopathy and Myosin Studies (7 papers), Cardiovascular Effects of Exercise (4 papers) and Muscle Physiology and Disorders (3 papers). David E. Montgomery is often cited by papers focused on Cardiomyopathy and Myosin Studies (7 papers), Cardiovascular Effects of Exercise (4 papers) and Muscle Physiology and Disorders (3 papers). David E. Montgomery collaborates with scholars based in United States. David E. Montgomery's co-authors include R. John Solaro, Murali Chandra, Peter M. Buttrick, James M. Fox, Jyothy Puthumana, Kofo O. Ogunyankin, Jil C. Tardiff, Beata M. Wolska, Dalia Urboniene and David L. Geenen and has published in prestigious journals such as Journal of the American College of Cardiology, Circulation Research and The Journal of Physiology.

In The Last Decade

David E. Montgomery

15 papers receiving 488 citations

Peers

David E. Montgomery

CCM

RNMI

SURGE

PHYSI

Emil Knut Stenersen Espe Norway

Kunihiko Teraoka Japan

Lorraine Schofield United States

A. Friedl Germany

Uma Mahesh R. Avula United States

Katus Ha Germany

Naoshi Kobayakawa Japan

H. A. Rockman United States

Pertti Jääskeläinen Finland

Emil Knut Stenersen Espe Norway

David E. Montgomery

330 ×0.8

CCM

144 ×0.6

93 ×1.0

RNMI

36 ×0.9

SURGE

14 ×0.8

PHYSI

Citations per year, relative to David E. Montgomery David E. Montgomery (= 1×) peers Emil Knut Stenersen Espe

Countries citing papers authored by David E. Montgomery

Since Specialization

Citations

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

Fields of papers citing papers by David E. Montgomery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Montgomery

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

All Works

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17 of 17 papers shown

Montgomery, David E., et al.. (2018). Molecular dynamics simulation of biased agonists at the dopamine D2 receptor suggests the mechanism of receptor functional selectivity. Journal of Biomolecular Structure and Dynamics. 37(12). 3206–3225. 10 indexed citations

Montgomery, David E., Jyothy Puthumana, James M. Fox, & Kofo O. Ogunyankin. (2011). Global longitudinal strain aids the detection of non-obstructive coronary artery disease in the resting echocardiogram. European Heart Journal - Cardiovascular Imaging. 13(7). 579–587. 97 indexed citations

Ogunyankin, Kofo O., David E. Montgomery, Jyothy Puthumana, & Daniel J. Schuster. (2010). LONGITUDINAL TWO-DIMENSIONAL SPECKLE TRACKING INDICES ON REST ECHOCARDIOGRAPHIC IMAGES PREDICTS SIGNIFICANT CORONARY DISEASE. Journal of the American College of Cardiology. 55(10). A86.E818–A86.E818.

Montgomery, David E. & Douglas E. Vaughan. (2010). What role does circadian clock regulation play in cardiovascular disease. 15(1). 27–35. 1 indexed citations

Montgomery, David E., Veronica Rundell, Paul H. Goldspink, et al.. (2005). Protein kinase Cε induces systolic cardiac failure marked by exhausted inotropic reserve and intact Frank-Starling mechanism. American Journal of Physiology-Heart and Circulatory Physiology. 289(5). H1881–H1888. 17 indexed citations

Goldspink, Paul H., David E. Montgomery, Lori A. Walker, et al.. (2004). Protein Kinase Cε Overexpression Alters Myofilament Properties and Composition During the Progression of Heart Failure. Circulation Research. 95(4). 424–432. 74 indexed citations

Montgomery, David E., Beata M. Wolska, W. Glen Pyle, et al.. (2002). α-Adrenergic response and myofilament activity in mouse hearts lacking PKC phosphorylation sites on cardiac TnI. American Journal of Physiology-Heart and Circulatory Physiology. 282(6). H2397–H2405. 56 indexed citations

Montgomery, David E., Jil C. Tardiff, & Murali Chandra. (2001). Cardiac troponin T mutations: correlation between the type of mutation and the nature of myofilament dysfunction in transgenic mice. The Journal of Physiology. 536(2). 583–592. 58 indexed citations

Wolska, Beata M., et al.. (2001). Increased contractility and altered Ca²⁺ transients of mouse heart myocytes conditionally expressing PKCβ. American Journal of Physiology-Cell Physiology. 280(5). C1114–C1120. 51 indexed citations

10.

Montgomery, David E., Murali Chandra, Qi-Quan Huang, Jian‐Ping Jin, & R. John Solaro. (2001). Transgenic incorporation of skeletal TnT into cardiac myofilaments blunts PKC-mediated depression of force. American Journal of Physiology-Heart and Circulatory Physiology. 280(3). H1011–H1018. 41 indexed citations

11.

Chandra, Murali, et al.. (1999). The N-terminal Region of Troponin T is Essential for the Maximal Activation of Rat Cardiac Myofilaments. Journal of Molecular and Cellular Cardiology. 31(4). 867–880. 69 indexed citations

12.

Donald, Carlton D., et al.. (1998). Invasive Potential and Substrate Dependence of Attachment in the Dunning R-3327 Rat Prostate Adenocarcinoma Model. PubMed. 18(4). 165–175. 3 indexed citations

13.

Montgomery, David E. & Robert West. (1996). Three-dimensional experimental spatial dynamics modelling of a reciprocating Freon compressor housing. Optics and Lasers in Engineering. 25(4-5). 265–288. 3 indexed citations

14.

Montgomery, David E., Robert West, & Ricardo A. Burdisso. (1996). Acoustic radiation prediction of a compressor housing from three-dimensional experimental spatial dynamics modeling. Applied Acoustics. 47(2). 165–185. 6 indexed citations

15.

Montgomery, David E. & Robert West. (1995). Visual statistical analysis of three-dimensional structural dynamics data. Mechanical Systems and Signal Processing. 9(3). 299–316. 2 indexed citations

16.

Montgomery, David E. & Robert West. (1994). Position Registration of Scanning Lasers for Experimental Spatial Dynamics Modeling. 337–342. 6 indexed citations

17.

Montgomery, David E. & Robert West. (1994). <title>Three-dimensional experimental spatial dynamic response of a reciprocating Freon compressor</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2358. 200–211.

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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