Mark Heffernan

517 total citations
25 papers, 349 citations indexed

About

Mark Heffernan is a scholar working on General Health Professions, Health and Physiology. According to data from OpenAlex, Mark Heffernan has authored 25 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 7 papers in Health and 5 papers in Physiology. Recurrent topics in Mark Heffernan's work include Health disparities and outcomes (7 papers), Health Policy Implementation Science (5 papers) and Employment and Welfare Studies (4 papers). Mark Heffernan is often cited by papers focused on Health disparities and outcomes (7 papers), Health Policy Implementation Science (5 papers) and Employment and Welfare Studies (4 papers). Mark Heffernan collaborates with scholars based in Australia, United States and Switzerland. Mark Heffernan's co-authors include Jo‐An Atkinson, Geoff McDonnell, Ian B. Hickie, Andrew Page, Frank M Ng, Ante Prodan, Kelly Metcalfe, Wei Jiang, Esra Ogru and A W Thorburn and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Mark Heffernan

23 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Heffernan Australia 13 99 67 57 48 45 25 349
Jeonghyun Kim South Korea 11 127 1.3× 83 1.2× 31 0.5× 67 1.4× 32 0.7× 43 419
Rie Konno Japan 11 112 1.1× 68 1.0× 48 0.8× 25 0.5× 41 0.9× 42 396
Ezra Gabbay United States 10 77 0.8× 50 0.7× 19 0.3× 35 0.7× 21 0.5× 28 381
Mi Hyang Lee South Korea 12 131 1.3× 144 2.1× 39 0.7× 17 0.4× 42 0.9× 33 457
Jennifer Marcum United States 9 46 0.5× 26 0.4× 28 0.5× 34 0.7× 35 0.8× 21 381
Tracy Truant Canada 15 227 2.3× 28 0.4× 23 0.4× 39 0.8× 21 0.5× 37 700
Blakely Brown United States 15 163 1.6× 14 0.2× 24 0.4× 80 1.7× 26 0.6× 35 523
Hongman Wang China 13 76 0.8× 34 0.5× 10 0.2× 28 0.6× 53 1.2× 35 447
R. W. Tennant United States 8 68 0.7× 87 1.3× 81 1.4× 23 0.5× 92 2.0× 11 505
Ahmet Nesimi Kişioğlu Türkiye 9 35 0.4× 36 0.5× 23 0.4× 33 0.7× 22 0.5× 43 413

Countries citing papers authored by Mark Heffernan

Since Specialization
Citations

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

Fields of papers citing papers by Mark Heffernan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Heffernan

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Heffernan. A scholar is included among the top collaborators of Mark Heffernan 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 Mark Heffernan. Mark Heffernan 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.
Occhipinti, Jo‐An, Ante Prodan, William Hynes, et al.. (2025). Artificial intelligence, recessionary pressures and population health. Bulletin of the World Health Organization. 103(2). 155–163. 3 indexed citations
2.
Wilson, Matthew, Anne M. Traas, Mark Heffernan, et al.. (2025). Gene therapy with feline anti-Müllerian hormone analogs disrupts folliculogenesis and induces pregnancy loss in female domestic cats. Nature Communications. 16(1). 1668–1668. 1 indexed citations
3.
Occhipinti, Jo‐An, William Hynes, Ante Prodan, et al.. (2025). Generative AI may create a socioeconomic tipping point through labour displacement. Scientific Reports. 15(1). 26050–26050.
4.
Eising, Ciarán, et al.. (2024). Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision. IEEE Access. 12. 129434–129446. 4 indexed citations
5.
Luo, Shihua, et al.. (2024). Forecast of total health expenditure on China’s ageing population: a system dynamics model. BMC Health Services Research. 24(1). 1655–1655. 1 indexed citations
6.
Occhipinti, Jo‐An, Ante Prodan, William Hynes, et al.. (2024). The Recessionary Pressures of Generative AI: a Threat to Wellbeing. SSRN Electronic Journal.
7.
Eising, Ciarán, et al.. (2023). Detecting the overfilled status of domestic and commercial bins using computer vision. Intelligent Systems with Applications. 18. 200229–200229. 3 indexed citations
8.
Lawson, Kenny, Mark Heffernan, Geoff McDonnell, et al.. (2021). Gazing through time and beyond the health sector: Insights from a system dynamics model of cardiovascular disease in Australia. PLoS ONE. 16(9). e0257760–e0257760. 7 indexed citations
9.
Atkinson, Jo‐An, Adam Skinner, Linda Mason, et al.. (2020). Systems modelling and simulation to inform strategic decision making for suicide prevention in rural New South Wales (Australia). Australian & New Zealand Journal of Psychiatry. 54(9). 892–901. 21 indexed citations
10.
Skinner, Adam, Jo‐An Atkinson, Tim Roselli, et al.. (2019). Policy options for endgame planning in tobacco control: a simulation modelling study. Tobacco Control. 30(1). 77–83. 12 indexed citations
11.
Atkinson, Jo‐An, Andrew Page, Adam Skinner, et al.. (2019). The Impact of Reducing Psychiatric Beds on Suicide Rates. Frontiers in Psychiatry. 10. 448–448. 14 indexed citations
12.
Atkinson, Jo‐An, Mark Heffernan, Geoff McDonnell, et al.. (2018). Can the Target Set for Reducing Childhood Overweight and Obesity Be Met? A System Dynamics Modelling Study in New South Wales, Australia. Systems Research and Behavioral Science. 36(1). 36–52. 25 indexed citations
13.
Subrahmanyam, Sreenath, et al.. (2017). Ecological modelling of a wetland for phytoremediating Cu, Zn and Mn in a gold–copper mine site using Typha domingensis (Poales: Typhaceae) near Orange, NSW, Australia. Macedonian Journal of Medical Sciences (University of Skopje). 3(2). 77–91. 1 indexed citations
14.
Page, Andrew, Jo‐An Atkinson, Mark Heffernan, Geoff McDonnell, & Ian B. Hickie. (2017). A decision-support tool to inform Australian strategies for preventing suicide and suicidal behaviour. Public Health Research & Practice. 27(2). 30 indexed citations
15.
16.
Metcalfe, Kelly, et al.. (2014). Prevalence of dental trauma and use of mouthguards in rugby union players. Australian Dental Journal. 59(4). 473–481. 34 indexed citations
17.
Heffernan, Mark, Roger J. Summers, Anne W. Thorburn, et al.. (2001). The Effects of Human GH and Its Lipolytic Fragment (AOD9604) on Lipid Metabolism Following Chronic Treatment in Obese Mice andβ 3-AR Knock-Out Mice. Endocrinology. 142(12). 5182–5189. 21 indexed citations
18.
Ogru, Esra, Mark Heffernan, Wei Jiang, et al.. (2000). The conformational and biological analysis of a cyclic anti‐obesity peptide from the C‐terminal domain of human growth hormone. Journal of Peptide Research. 56(6). 388–397. 14 indexed citations
19.
Heffernan, Mark, Wei Jiang, A W Thorburn, & Frank M Ng. (2000). Effects of oral administration of a synthetic fragment of human growth hormone on lipid metabolism. American Journal of Physiology-Endocrinology and Metabolism. 279(3). E501–E507. 26 indexed citations
20.
Libinaki, Roksan, Mark Heffernan, Esra Ogru, et al.. (1999). Effects of Genetic and Diet‐Induced Obesity on Lipid Metabolism. IUBMB Life. 48(1). 109–113. 12 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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