David F. Gray

1.0k total citations
40 papers, 804 citations indexed

About

David F. Gray is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, David F. Gray has authored 40 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 9 papers in Infectious Diseases. Recurrent topics in David F. Gray's work include Tuberculosis Research and Epidemiology (9 papers), Ion channel regulation and function (8 papers) and Cardiac electrophysiology and arrhythmias (7 papers). David F. Gray is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Ion channel regulation and function (8 papers) and Cardiac electrophysiology and arrhythmias (7 papers). David F. Gray collaborates with scholars based in Australia, United Kingdom and United States. David F. Gray's co-authors include H Rasmussen, Paul Jennings, Peter S. Hansen, Livia C. Hool, Bruce G. Robinson, Michelle Wykes, Johanne Poudrier, Amanda G. Fisher, Ragnar Lindstedt and Katalin Takács and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Neurology.

In The Last Decade

David F. Gray

37 papers receiving 733 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 F. Gray Australia 15 302 223 141 84 84 40 804
Masaya Kawakami Japan 15 291 1.0× 251 1.1× 86 0.6× 79 0.9× 45 0.5× 51 716
Duane L. Peavy United States 11 204 0.7× 534 2.4× 63 0.4× 124 1.5× 80 1.0× 17 948
Gudrun Werner Austria 14 550 1.8× 339 1.5× 79 0.6× 173 2.1× 177 2.1× 17 1.1k
Ralph E. Smith United States 17 405 1.3× 124 0.6× 274 1.9× 185 2.2× 82 1.0× 47 1.1k
Masamichi Kishishita Japan 12 443 1.5× 196 0.9× 79 0.6× 177 2.1× 106 1.3× 17 1.1k
Pierre Redelinghuys South Africa 15 425 1.4× 283 1.3× 104 0.7× 74 0.9× 126 1.5× 17 797
R. Küchler United States 14 245 0.8× 116 0.5× 43 0.3× 31 0.4× 39 0.5× 34 552
Nenoo Rawal United States 14 172 0.6× 559 2.5× 40 0.3× 99 1.2× 84 1.0× 21 890
Satish Jindal United States 14 608 2.0× 360 1.6× 32 0.2× 128 1.5× 91 1.1× 20 916
Ann E. Farnham United States 11 254 0.8× 198 0.9× 31 0.2× 239 2.8× 110 1.3× 12 822

Countries citing papers authored by David F. Gray

Since Specialization
Citations

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

Fields of papers citing papers by David F. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David F. Gray

This figure shows the co-authorship network connecting the top 25 collaborators of David F. Gray. A scholar is included among the top collaborators of David F. Gray 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 F. Gray. David F. Gray 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.
Gergits, Frederick W., Abigail J. Renoux, Borislav Dejanovic, et al.. (2025). Rescue of in vitro models of CSF1R-related adult-onset leukodystrophy by iluzanebart: mechanisms and therapeutic implications of TREM2 agonism. Journal of Neuroinflammation. 22(1). 26–26. 4 indexed citations
2.
Gray, David F.. (2006). Thrombolysis: past, present, and future. Postgraduate Medical Journal. 82(968). 372–375. 5 indexed citations
3.
Takács, Katalin, Stephen Nabarro, Niall Dillon, et al.. (2004). The regulated long-term delivery of therapeutic proteins by using antigen-specific B lymphocytes. Proceedings of the National Academy of Sciences. 101(46). 16298–16303. 12 indexed citations
4.
Skok, Jane A., Karen Brown, Véronique Azuara, et al.. (2001). Nonequivalent nuclear location of immunoglobulin alleles in B lymphocytes. Nature Immunology. 2(9). 848–854. 169 indexed citations
5.
Gray, David F.. (2000). HMG CoA reductase inhibition reduces sarcolemmal Na+–K+ pump density. Cardiovascular Research. 47(2). 329–335. 27 indexed citations
6.
Hansen, Peter S., et al.. (1999). Angiotensin regulates the selectivity of the Na+-K+ pump for intracellular Na+. American Journal of Physiology-Cell Physiology. 277(3). C461–C468. 28 indexed citations
7.
Wykes, Michelle, Johanne Poudrier, Ragnar Lindstedt, & David F. Gray. (1998). Regulation of cytoplasmic, surface and soluble forms of CD40 ligand in mouse B cells. European Journal of Immunology. 28(2). 548–559. 64 indexed citations
8.
Gray, David F., et al.. (1998). Amiodarone Inhibits the Na+-K+ Pump in Rabbit Cardiac Myocytes after Acute and Chronic Treatment. Journal of Pharmacology and Experimental Therapeutics. 284(1). 75–82. 30 indexed citations
9.
Hansen, Peter S., et al.. (1997). Voltage‐Dependent Inhibition of the Na+‐K+ Pump by Intracellular Potassium in Rabbit Venticular Myocytes. Annals of the New York Academy of Sciences. 834(1). 347–349. 1 indexed citations
10.
Gray, David F., U. M. Sivananthan, Surajpal Verma, Lampros K. Michalis, & Michael R. Rees. (1993). Balloon angioplasty of totally and subtotally occluded coronary arteries: results using the hydrophillic terumo radifocus guidewire m (glidewire). Catheterization and Cardiovascular Diagnosis. 30(4). 293–299. 23 indexed citations
11.
Alvarez, John M., et al.. (1993). Repair of the anterior mitral leaflet*. Australian and New Zealand Journal of Medicine. 23(3). 279–284. 4 indexed citations
12.
Hedger, R. S., I.T.R. Barnett, & David F. Gray. (1980). Some virus diseases of domestic animals in the Sultanate of Oman. Tropical Animal Health and Production. 12(2). 107–114. 37 indexed citations
13.
Gray, David F., et al.. (1960). THE ECOLOGY AND CONTROL OF SALMONELLA CONTAMINATION IN BONEMEAL*. Australian Veterinary Journal. 36(6). 246–252. 6 indexed citations
14.
Gray, David F.. (1959). Fate of tubercle bacilli in early experimental infection of the mouse. Epidemiology and Infection. 57(4). 473–483. 5 indexed citations
15.
Gray, David F., et al.. (1958). BONEMEAL AS A SOURCE OF BOVINE SALMONELLOSIS**. Australian Veterinary Journal. 34(11). 345–351. 15 indexed citations
16.
Gray, David F., et al.. (1958). Relationship of allergy to gross lung disease and culturable bacilli in tuberculous mice.. PubMed. 78(2). 226–34. 12 indexed citations
17.
Gray, David F., et al.. (1957). Reticulocytosis Induced by Serum from Hypoxic Animals.. Experimental Biology and Medicine. 94(2). 283–286. 3 indexed citations
18.
Gray, David F., et al.. (1954). Detection of Small Numbers of Tubercle Bacilli in Treated Specimens. Comparison of Mice, Guinea Pigs, and Artificial Media.. 69(1). 92–103. 1 indexed citations
19.
Gray, David F. & A. W. Turner. (1954). Viability and immunizing potency of freeze-dried bovine contagious pleuropneumonia culture-vaccine. Journal of Comparative Pathology and Therapeutics. 64(2). 116–126. 7 indexed citations
20.
Gray, David F., et al.. (1952). Detection of small numbers of tubercle bacilli from dispersed cultures, using mice, guinea pigs, and artificial media.. PubMed. 65(5). 572–88. 11 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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