Scott Heffernan

1.1k total citations · 1 hit paper
25 papers, 840 citations indexed

About

Scott Heffernan is a scholar working on Pediatrics, Perinatology and Child Health, Clinical Biochemistry and Surgery. According to data from OpenAlex, Scott Heffernan has authored 25 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pediatrics, Perinatology and Child Health, 6 papers in Clinical Biochemistry and 5 papers in Surgery. Recurrent topics in Scott Heffernan's work include Birth, Development, and Health (6 papers), Advanced Glycation End Products research (6 papers) and Pregnancy and preeclampsia studies (5 papers). Scott Heffernan is often cited by papers focused on Birth, Development, and Health (6 papers), Advanced Glycation End Products research (6 papers) and Pregnancy and preeclampsia studies (5 papers). Scott Heffernan collaborates with scholars based in Australia, United States and Norway. Scott Heffernan's co-authors include Dennis K. Yue, Susan V. McLennan, John R. Turtle, Elizabeth Fisher, Annemarie Hennessy, Caroline Rae, Sally Thomson, Neroli Sunderland, Angela Makris and Robert Ogle and has published in prestigious journals such as PLoS ONE, Nature Nanotechnology and Diabetes.

In The Last Decade

Scott Heffernan

25 papers receiving 801 citations

Hit Papers

Oral nanotherapeutic formulation of insulin with reduced ... 2024 2026 2025 2024 10 20 30

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Heffernan Australia 15 174 155 136 135 132 25 840
Henrique Almeida Portugal 21 84 0.5× 164 1.1× 163 1.2× 198 1.5× 292 2.2× 88 1.2k
Antonia Martín‐Hidalgo Spain 19 238 1.4× 90 0.6× 203 1.5× 261 1.9× 281 2.1× 43 1.1k
Keith DiPetrillo United States 18 127 0.7× 52 0.3× 100 0.7× 185 1.4× 394 3.0× 27 1.3k
Klára Rosta Hungary 12 90 0.5× 182 1.2× 136 1.0× 67 0.5× 107 0.8× 35 608
Corneliu N. Craciunescu United States 19 66 0.4× 194 1.3× 562 4.1× 207 1.5× 589 4.5× 23 1.6k
Yanyan Yang China 20 70 0.4× 138 0.9× 74 0.5× 168 1.2× 527 4.0× 66 1.3k
Fiorella Miceli Italy 21 214 1.2× 117 0.8× 130 1.0× 136 1.0× 234 1.8× 33 1.1k
Yukiko Toyofuku Japan 10 390 2.2× 91 0.6× 129 0.9× 158 1.2× 266 2.0× 13 1.1k
Becky A. de la Houssaye United States 19 113 0.6× 178 1.1× 220 1.6× 264 2.0× 437 3.3× 26 1.2k

Countries citing papers authored by Scott Heffernan

Since Specialization
Citations

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

Fields of papers citing papers by Scott Heffernan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Heffernan

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Heffernan. A scholar is included among the top collaborators of Scott 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 Scott Heffernan. Scott 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.
Hunt, Nicholas J., Glen P. Lockwood, Scott Heffernan, et al.. (2024). Oral nanotherapeutic formulation of insulin with reduced episodes of hypoglycaemia. Nature Nanotechnology. 19(4). 534–544. 39 indexed citations breakdown →
2.
Chiu, Christine L., et al.. (2016). A Cross-Sectional Study of Ageing and Cardiovascular Function over the Baboon Lifespan. PLoS ONE. 11(7). e0159576–e0159576. 10 indexed citations
3.
Makris, Angela, Neroli Sunderland, Scott Heffernan, et al.. (2016). Placental Growth Factor Reduces Blood Pressure in a Uteroplacental Ischemia Model of Preeclampsia in Nonhuman Primates. Hypertension. 67(6). 1263–1272. 85 indexed citations
4.
Lind, Joanne M., et al.. (2014). Comparison of indirect and direct blood pressure measurements in baboons during ketamine anaesthesia. Journal of Medical Primatology. 43(4). 217–224. 7 indexed citations
5.
Heffernan, Scott, et al.. (2012). PP080. Blood pressure in the offspring of experimental preeclamptic and normotensive baboon pregnancies. Pregnancy Hypertension. 2(3). 283–284. 1 indexed citations
6.
Makris, Angela, Peter M. Farrell, Scott Heffernan, et al.. (2012). OS061. Placental growth factor reduces blood pressure and proteinuria in experimental preeclampsia. Pregnancy Hypertension. 2(3). 210–210. 3 indexed citations
7.
Dennis, A.T., et al.. (2012). Haemodynamics using transthoracic echocardiography in healthy pregnant and non‐pregnant baboons (Papio hamadryas). Journal of Medical Primatology. 41(2). 122–129. 1 indexed citations
8.
Sunderland, Neroli, Sally Thomson, Scott Heffernan, et al.. (2011). Tumor necrosis factor α induces a model of preeclampsia in pregnant baboons (Papio hamadryas). Cytokine. 56(2). 192–199. 60 indexed citations
9.
Brooks, Belinda, Scott Heffernan, Sally Thomson, et al.. (2008). The effects of diabetes and aminoguanidine treatment on endothelial function in a primate model of type 1 diabetes. American Journal of Primatology. 70(8). 796–802. 9 indexed citations
10.
Sunderland, Neroli, Scott Heffernan, Sally Thomson, & Annemarie Hennessy. (2008). Maternal parity affects neonatal survival rate in a colony of captive bred baboons (Papio hamadryas). Journal of Medical Primatology. 37(5). 223–228. 14 indexed citations
11.
O’Brien, Justine K., et al.. (2008). Effect of positive reinforcement training on physiological and behavioural stress responses in the hamadryas baboon(Papio hamadryas). Animal Welfare. 17(2). 125–138. 15 indexed citations
12.
13.
Heffernan, Scott, et al.. (2007). The effect of medroxyprogesterone acetate on behavioural responses of captive female hamadryas baboons (Papio hamadryas). Animal Reproduction Science. 108(3-4). 412–424. 17 indexed citations
14.
Heffernan, Scott, et al.. (2002). The effects of aminoguanidine on renal changes in a baboon model of Type 1 diabetes. Journal of Diabetes and its Complications. 16(4). 301–309. 19 indexed citations
15.
16.
Heffernan, Scott, Veronica J. James, Renate Zilkens, et al.. (1996). Changes of extracellular matrix in a baboon (Papio hamadryas) model of insulin dependent diabetes: studies using electron microscopy and X-ray diffraction techniques. Diabetes Research and Clinical Practice. 34(2). 65–72. 13 indexed citations
17.
Heffernan, Scott, Andrew F. Phippard, Alan J. Sinclair, et al.. (1995). A baboon (Papio hamadryas) model of insulin‐dependent diabetes. Journal of Medical Primatology. 24(1). 29–34. 18 indexed citations
18.
McLennan, Susan V., Scott Heffernan, Caroline Rae, et al.. (1991). Changes in Hepatic Glutathione Metabolism in Diabetes. Diabetes. 40(3). 344–348. 190 indexed citations
19.
Yue, Dennis K., et al.. (1990). Abnormalities of ascorbic acid metabolism and diabetic control: differences between diabetic patients and diabetic rats. Diabetes Research and Clinical Practice. 9(3). 239–244. 31 indexed citations
20.
Yue, Dennis K., et al.. (1989). Ascorbic Acid Metabolism and Polyol Pathway in Diabetes. Diabetes. 38(2). 257–261. 76 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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