David A. Golod

575 total citations
16 papers, 427 citations indexed

About

David A. Golod is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, David A. Golod has authored 16 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 13 papers in Cardiology and Cardiovascular Medicine and 9 papers in Molecular Biology. Recurrent topics in David A. Golod's work include Cardiac electrophysiology and arrhythmias (13 papers), Neuroscience and Neural Engineering (13 papers) and Ion channel regulation and function (9 papers). David A. Golod is often cited by papers focused on Cardiac electrophysiology and arrhythmias (13 papers), Neuroscience and Neural Engineering (13 papers) and Ion channel regulation and function (9 papers). David A. Golod collaborates with scholars based in United States, Netherlands and South Korea. David A. Golod's co-authors include Ronald W. Joyner, Rajiv Kumar, Ronald Wilders, Habo J. Jongsma, William N. Goolsby, E. Etienne Verheijck, Mary B. Wagner, Antoni C.G. van Ginneken, Lennart N. Bouman and Rajiv Kumar and has published in prestigious journals such as Circulation, American Journal of Respiratory and Critical Care Medicine and Biophysical Journal.

In The Last Decade

David A. Golod

14 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Golod United States 11 350 254 198 41 39 16 427
C. R. Murphey United States 7 256 0.7× 226 0.9× 192 1.0× 34 0.8× 73 1.9× 8 380
L.А. Maltseva United States 8 248 0.7× 200 0.8× 133 0.7× 15 0.4× 21 0.5× 27 307
Semahat S. Demir United States 8 359 1.0× 273 1.1× 136 0.7× 23 0.6× 16 0.4× 13 394
A J Spindler United Kingdom 12 625 1.8× 658 2.6× 464 2.3× 6 0.1× 22 0.6× 16 780
Adam Kapela United States 11 119 0.3× 156 0.6× 70 0.4× 6 0.1× 30 0.8× 20 322
Chiara Bartolucci Italy 9 325 0.9× 224 0.9× 102 0.5× 8 0.2× 10 0.3× 31 377
Stephen A. Gaeta United States 9 188 0.5× 188 0.7× 49 0.2× 14 0.3× 3 0.1× 14 310
Didier X.P. Brochet United States 9 399 1.1× 429 1.7× 192 1.0× 7 0.2× 4 0.1× 14 520
Vitaliy Reznikov United States 6 174 0.5× 359 1.4× 191 1.0× 8 0.2× 5 0.1× 8 442
Deborah Langrill Beaudoin United States 7 47 0.1× 262 1.0× 257 1.3× 9 0.2× 140 3.6× 11 366

Countries citing papers authored by David A. Golod

Since Specialization
Citations

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

Fields of papers citing papers by David A. Golod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Golod

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

All Works

16 of 16 papers shown
1.
Τzouvelekis, Αrgyris, Mark J. Hamblin, Won Il Choi, et al.. (2025). Late Breaking Abstract - ELEVATE IPF phase 2b open-label extension demonstrates durable efficacy of deupirfenidone. OA4456–OA4456.
2.
Maher, Toby M., Miguel Bergna, Amy Hajari Case, et al.. (2025). Deupirfenidone Compared to Placebo and Pirfenidone in Idiopathic Pulmonary Fibrosis: ELEVATE IPF Phase 2b Trial. American Journal of Respiratory and Critical Care Medicine. 211(Supplement_1). A7046–A7046. 1 indexed citations
3.
Wagner, Mary B., David A. Golod, Ronald Wilders, et al.. (2002). Modulation of propagation from an ectopic focus by electrical load and by extracellular potassium concentration. 3. 1246–1247.
4.
Kumar, Rajiv, Mary B. Wagner, Ronald Wilders, et al.. (2000). Electrical interactions between a real ventricular cell and an anisotropic two-dimensional sheet of model cells. American Journal of Physiology-Heart and Circulatory Physiology. 278(2). H452–H460. 33 indexed citations
5.
Wilders, Ronald, Mary B. Wagner, David A. Golod, et al.. (2000). Effects of anisotropy on the development of cardiac arrhythmias associated with focal activity. Pflügers Archiv - European Journal of Physiology. 441(2-3). 301–312. 54 indexed citations
6.
Wagner, Mary B., et al.. (2000). Measurements of calcium transients in ventricular cells during discontinuous action potential conduction. American Journal of Physiology-Heart and Circulatory Physiology. 278(2). H444–H451. 9 indexed citations
7.
Joyner, Ronald W., Ronald Wilders, David A. Golod, et al.. (2000). A spontaneously active focus drives a model atrial sheet more easily than a model ventricular sheet. American Journal of Physiology-Heart and Circulatory Physiology. 279(2). H752–H763. 36 indexed citations
8.
Wilders, Ronald, E. Etienne Verheijck, Ronald W. Joyner, et al.. (1999). Effects of Ischemia on Discontinuous Action Potential Conduction in Hybrid Pairs of Ventricular Cells. Circulation. 99(12). 1623–1629. 11 indexed citations
9.
Wagner, Mary B., Takao Namiki, Ronald Wilders, et al.. (1999). Electrical interactions among real cardiac cells and cell models in a linear strand. American Journal of Physiology-Heart and Circulatory Physiology. 276(2). H391–H400. 7 indexed citations
10.
Joyner, Ronald W., Rajiv Kumar, David A. Golod, et al.. (1998). Electrical interactions between a rabbit atrial cell and a nodal cell model. American Journal of Physiology-Heart and Circulatory Physiology. 274(6). H2152–H2162. 24 indexed citations
11.
Golod, David A., Rajiv Kumar, & Ronald W. Joyner. (1998). Determinants of action potential initiation in isolated rabbit atrial and ventricular myocytes. American Journal of Physiology-Heart and Circulatory Physiology. 274(6). H1902–H1913. 42 indexed citations
12.
Verheijck, E. Etienne, Ronald Wilders, Ronald W. Joyner, et al.. (1998). Pacemaker Synchronization of Electrically Coupled Rabbit Sinoatrial Node Cells. The Journal of General Physiology. 111(1). 95–112. 78 indexed citations
13.
Wagner, Mary B., David A. Golod, Ronald Wilders, et al.. (1997). Modulation of propagation from an ectopic focus by electrical load and by extracellular potassium. American Journal of Physiology-Heart and Circulatory Physiology. 272(4). H1759–H1769. 18 indexed citations
14.
Wilders, Ronald, Rajiv Kumar, Ronald W. Joyner, et al.. (1996). Action potential conduction between a ventricular cell model and an isolated ventricular cell. Biophysical Journal. 70(1). 281–295. 35 indexed citations
15.
Joyner, Ronald W., Rajiv Kumar, Ronald Wilders, et al.. (1996). Modulating L-type calcium current affects discontinuous cardiac action potential conduction. Biophysical Journal. 71(1). 237–245. 52 indexed citations
16.
Kumar, Rajiv, Ronald Wilders, Ronald W. Joyner, et al.. (1996). Experimental Model for an Ectopic Focus Coupled to Ventricular Cells. Circulation. 94(4). 833–841. 27 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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