Duncan Horlock

1.8k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Duncan Horlock is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Duncan Horlock has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Duncan Horlock's work include Cardiac Fibrosis and Remodeling (5 papers), Diet and metabolism studies (4 papers) and Gut microbiota and health (3 papers). Duncan Horlock is often cited by papers focused on Cardiac Fibrosis and Remodeling (5 papers), Diet and metabolism studies (4 papers) and Gut microbiota and health (3 papers). Duncan Horlock collaborates with scholars based in Australia, United States and China. Duncan Horlock's co-authors include David M. Kaye, Po‐Yin Chu, Sanjaya Kuruppu, Niwanthi W. Rajapakse, April Fiedler, Francine Z. Marques, Charles R. Mackay, Mark Ziemann, Jian Tan and Assam El‐Osta and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Duncan Horlock

14 papers receiving 1.1k 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.

High-Fiber Diet and Acetate Supplementation Change the Gut Microbiota and Prevent the Development of Hypertension and Heart Failure in Hypertensive Mice

2016 782 citations Francine Z. Marques, Po‐Yin Chu et al. Circulation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Duncan Horlock Australia	11	710	496	182	174	112	14	1.1k
Po‐Yin Chu Australia	12	858 1.2×	492 1.0×	190 1.0×	231 1.3×	159 1.4×	16	1.4k
Anthony J. DiDonato United States	7	952 1.3×	566 1.1×	143 0.8×	97 0.6×	47 0.4×	8	1.3k
Micah L. Battson United States	15	532 0.7×	391 0.8×	88 0.5×	215 1.2×	52 0.5×	20	1.0k
Miranda K. Culley United States	8	1.5k 2.0×	901 1.8×	269 1.5×	156 0.9×	85 0.8×	10	2.0k
April Fiedler Australia	4	580 0.8×	455 0.9×	172 0.9×	80 0.5×	94 0.8×	8	832
Hongxiu Qi United States	6	536 0.8×	351 0.7×	102 0.6×	86 0.5×	39 0.3×	6	812
Jérémy Lagrange France	13	334 0.5×	218 0.4×	60 0.3×	181 1.0×	78 0.7×	42	805
Linette Pellis Netherlands	13	631 0.9×	417 0.8×	116 0.6×	35 0.2×	145 1.3×	18	1.2k
Xun Jia United States	11	574 0.8×	388 0.8×	201 1.1×	69 0.4×	45 0.4×	11	902
S. Lambert-Porcheron France	15	407 0.6×	525 1.1×	138 0.8×	130 0.7×	231 2.1×	26	1.1k

Countries citing papers authored by Duncan Horlock

Since Specialization

Citations

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

Fields of papers citing papers by Duncan Horlock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan Horlock. 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 Duncan Horlock. The network helps show where Duncan Horlock may publish in the future.

Co-authorship network of co-authors of Duncan Horlock

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

All Works

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14 of 14 papers shown

Horlock, Duncan, David M. Kaye, Catherine E. Winbanks, et al.. (2021). Old Drug, New Trick: Tilorone, a Broad-Spectrum Antiviral Drug as a Potential Anti-Fibrotic Therapeutic for the Diseased Heart. Pharmaceuticals. 14(3). 263–263. 6 indexed citations

Jama, Hamdi, April Fiedler, Kirill Tsyganov, et al.. (2020). Manipulation of the gut microbiota by the use of prebiotic fibre does not override a genetic predisposition to heart failure. Scientific Reports. 10(1). 17919–17919. 11 indexed citations

Chu, Po‐Yin, Mandar Joshi, Duncan Horlock, Helen Kiriazis, & David M. Kaye. (2019). CXCR4 Antagonism Reduces Cardiac Fibrosis and Improves Cardiac Performance in Dilated Cardiomyopathy. Frontiers in Pharmacology. 10. 117–117. 18 indexed citations

Qin, Cheng Xue, Sarah Rosli, Minh Deo, et al.. (2019). Cardioprotective Actions of the Annexin-A1 N-Terminal Peptide, Ac2-26, Against Myocardial Infarction. Frontiers in Pharmacology. 10. 269–269. 31 indexed citations

Marques, Francine Z., Waled Shihata, Hamdi Jama, et al.. (2019). Abstract 059: Deficiency of Either Prebiotic Dietary Fibre or Prebiotic-Responsive Gut Microbiota Result in High Blood Pressure. Hypertension. 74(Suppl_1). 1 indexed citations

Giam, Beverly, Po‐Yin Chu, Sanjaya Kuruppu, et al.. (2018). Serelaxin attenuates renal inflammation and fibrosis in a mouse model of dilated cardiomyopathy. Experimental Physiology. 103(12). 1593–1602. 10 indexed citations

Qin, Cheng Xue, Lauren T. May, Nga Cao, et al.. (2017). Small-molecule-biased formyl peptide receptor agonist compound 17b protects against myocardial ischaemia-reperfusion injury in mice. Nature Communications. 8(1). 14232–14232. 107 indexed citations

Giam, Beverly, Sanjaya Kuruppu, Po‐Yin Chu, et al.. (2017). N-Acetylcysteine Attenuates the Development of Renal Fibrosis in Transgenic Mice with Dilated Cardiomyopathy. Scientific Reports. 7(1). 17718–17718. 12 indexed citations

Giam, Beverly, Po‐Yin Chu, Sanjaya Kuruppu, et al.. (2016). N-acetylcysteine attenuates the development of cardiac fibrosis and remodeling in a mouse model of heart failure. Physiological Reports. 4(7). e12757–e12757. 40 indexed citations

10.

Horlock, Duncan, April Fiedler, Mark Ziemann, et al.. (2016). Effect of Dietary Fibre Intake and the Gut Microbiota in a Model of Heart Failure. Figshare. 1 indexed citations

11.

Marques, Francine Z., Po‐Yin Chu, Duncan Horlock, et al.. (2016). High-Fiber Diet and Acetate Supplementation Change the Gut Microbiota and Prevent the Development of Hypertension and Heart Failure in Hypertensive Mice. Circulation. 135(10). 964–977. 782 indexed citations breakdown →

12.

Chu, Po‐Yin, Ken Walder, Duncan Horlock, et al.. (2015). CXCR4 Antagonism Attenuates the Development of Diabetic Cardiac Fibrosis. PLoS ONE. 10(7). e0133616–e0133616. 47 indexed citations

13.

Joshi, Mandar, David A. Williams, Duncan Horlock, et al.. (2015). Role of mitochondrial dysfunction in hyperglycaemia-induced coronary microvascular dysfunction: Protective role of resveratrol. Diabetes and Vascular Disease Research. 12(3). 208–216. 26 indexed citations

14.

Williams, David A., Kylie Venardos, Melissa Byrne, et al.. (2014). Abnormal Mitochondrial L-Arginine Transport Contributes to the Pathogenesis of Heart Failure and Rexoygenation Injury. PLoS ONE. 9(8). e104643–e104643. 18 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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