J D Thornton

3.1k total citations · 1 hit paper
17 papers, 2.4k citations indexed

About

J D Thornton is a scholar working on Pathology and Forensic Medicine, Emergency Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J D Thornton has authored 17 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pathology and Forensic Medicine, 9 papers in Emergency Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J D Thornton's work include Cardiac Ischemia and Reperfusion (17 papers), Cardiac Arrest and Resuscitation (9 papers) and Cardiac Imaging and Diagnostics (7 papers). J D Thornton is often cited by papers focused on Cardiac Ischemia and Reperfusion (17 papers), Cardiac Arrest and Resuscitation (9 papers) and Cardiac Imaging and Diagnostics (7 papers). J D Thornton collaborates with scholars based in United States. J D Thornton's co-authors include James M. Downey, R A Olsson, A Stanley, Donna M. Van Winkle, Michael V. Cohen, J. M. Downey, Guang S. Liu, Albert N. Swafford, Ye Liu and Stephen W. Schaffer and has published in prestigious journals such as Circulation, Circulation Research and Cardiovascular Research.

In The Last Decade

J D Thornton

17 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Protection against infarction afforded by preconditioning is mediated by A1 adenosine receptors in rabbit heart.

1991 1.0k citations J D Thornton, Donna M. Van Winkle et al. Circulation profile →

Peers

J D Thornton

PFM

CCM

Donna M. Van Winkle United States

R A Olsson United States

Akihito Tsuchida Japan

Joel S. Corvera United States

Zhenhai Yao United States

Hajime Kin Japan

A Stanley United States

Mahiko Goto Japan

Thien Tri Cung France

Guang S. Liu United States

Donna M. Van Winkle United States

J D Thornton

1.6k ×0.7

PFM

984 ×0.7

777 ×1.0

CCM

560 ×0.7

380 ×1.1

Citations per year, relative to J D Thornton J D Thornton (= 1×) peers Donna M. Van Winkle

Countries citing papers authored by J D Thornton

Since Specialization

Citations

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

Fields of papers citing papers by J D Thornton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J D Thornton. 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 J D Thornton. The network helps show where J D Thornton may publish in the future.

Co-authorship network of co-authors of J D Thornton

This figure shows the co-authorship network connecting the top 25 collaborators of J D Thornton. A scholar is included among the top collaborators of J D Thornton 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 J D Thornton. J D Thornton 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

Hashimi, M. Wail, J D Thornton, James M. Downey, & Michael V. Cohen. (1998). Loss of myocardial protection from ischemic preconditioning following chronic exposure to R(-)-N6-(2-phenylisopropyl)adenosine is related to defect at the adenosine A1 receptor. Molecular and Cellular Biochemistry. 186(1-2). 19–25. 19 indexed citations

Cohen, Michael V., et al.. (1997). Intravenous co-infusion of adenosine and norepinephrine preconditions the heart without adverse hemodynamic effects. Journal of Thoracic and Cardiovascular Surgery. 114(2). 236–242. 12 indexed citations

Walsh, Robert S., et al.. (1995). Hypoxia preconditions rabbit myocardium by an adenosine receptor-mediated mechanism.. PubMed. 11(2). 141–6. 7 indexed citations

Walsh, Robert S., Akihito Tsuchida, J. J. Daly, et al.. (1994). Ketamine-xylazine anaesthesia permits a KATPchannel antagonist to attenuate preconditioning in rabbit myocardium. Cardiovascular Research. 28(9). 1337–1341. 64 indexed citations

Yang, Xi, Akihito Tsuchida, Doris K. Cope, et al.. (1993). The protection of ischaemic preconditioning can be reinstated in the rabbit heart after the initial protection has waned. Cardiovascular Research. 27(4). 556–558. 24 indexed citations

Downey, J. M., et al.. (1993). Adenosine and the anti-infarct effects of preconditioning. Cardiovascular Research. 27(1). 3–8. 134 indexed citations

Thornton, J D, Guang S. Liu, & James M. Downey. (1993). Pretreatment with Pertussis Toxin Blocks the Protective Effects of Preconditioning: Evidence for a G-protein Mechanism. Journal of Molecular and Cellular Cardiology. 25(3). 311–320. 132 indexed citations

Liu, Ye, J D Thornton, Michael V. Cohen, James M. Downey, & Stephen W. Schaffer. (1993). Streptozotocin-induced non-insulin-dependent diabetes protects the heart from infarction.. Circulation. 88(3). 1273–1278. 119 indexed citations

Thornton, J D, et al.. (1993). Blockade of ATP-sensitive potassium channels increases infarct size but does not prevent preconditioning in rabbit hearts.. Circulation Research. 72(1). 44–49. 119 indexed citations

10.

Thornton, J D, et al.. (1993). Effect of adenosine receptor blockade: preventing protective preconditioning depends on time of initiation. American Journal of Physiology-Heart and Circulatory Physiology. 265(2). H504–H508. 62 indexed citations

11.

Thornton, J D, et al.. (1993). Hyperbaric oxygen limits infarct size in ischemic rabbit myocardium in vivo.. Circulation. 88(4). 1931–1936. 80 indexed citations

12.

Thornton, J D, Jonathan Daly, Michael V. Cohen, Xi Yang, & James M. Downey. (1993). Catecholamines can induce adenosine receptor-mediated protection of the myocardium but do not participate in ischemic preconditioning in the rabbit.. Circulation Research. 73(4). 649–655. 75 indexed citations

13.

Thornton, J D, et al.. (1992). Adenosine is an endogenous protectant against stunning during repetitive ischemic episodes in the heart. American Heart Journal. 124(6). 1440–1446. 29 indexed citations

14.

Turrens, Julio F., et al.. (1992). Protection from reperfusion injury by preconditioning hearts does not involve increased antioxidant defenses. American Journal of Physiology-Heart and Circulatory Physiology. 262(2). H585–H589. 53 indexed citations

15.

Thornton, J D, et al.. (1992). Intravenous pretreatment with A1-selective adenosine analogues protects the heart against infarction.. Circulation. 85(2). 659–665. 367 indexed citations

16.

Thornton, J D, et al.. (1991). Protection against infarction afforded by preconditioning is mediated by A1 adenosine receptors in rabbit heart.. Circulation. 84(1). 350–356. 1020 indexed citations breakdown →

17.

Thornton, J D, et al.. (1990). Inhibition of protein synthesis does not block myocardial protection afforded by preconditioning. American Journal of Physiology-Heart and Circulatory Physiology. 259(6). H1822–H1825. 122 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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