James Gerofi

829 total citations
16 papers, 616 citations indexed

About

James Gerofi is a scholar working on Physiology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, James Gerofi has authored 16 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 6 papers in Epidemiology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in James Gerofi's work include Diet and metabolism studies (5 papers), Nutrition and Health in Aging (4 papers) and Nutritional Studies and Diet (4 papers). James Gerofi is often cited by papers focused on Diet and metabolism studies (5 papers), Nutrition and Health in Aging (4 papers) and Nutritional Studies and Diet (4 papers). James Gerofi collaborates with scholars based in Australia, China and South Korea. James Gerofi's co-authors include Ian D. Caterson, Amanda Sainsbury, Nathan A. Johnson, Shelley E. Keating, Helen O’Connor, Michael K. Baker, Vivienne Chuter, Jacob George, Helen M. Parker and Daniel Hackett and has published in prestigious journals such as American Journal of Clinical Nutrition, Diabetes Care and Diabetes.

In The Last Decade

James Gerofi

14 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Gerofi Australia 9 333 203 169 143 124 16 616
Elena Alessi Italy 6 295 0.9× 226 1.1× 92 0.5× 61 0.4× 114 0.9× 11 570
Priscila L. Sanches Brazil 17 308 0.9× 222 1.1× 23 0.1× 145 1.0× 91 0.7× 21 600
Ilaria Croci Australia 10 163 0.5× 148 0.7× 75 0.4× 28 0.2× 77 0.6× 16 331
L. W. Gibbons United States 4 178 0.5× 106 0.5× 72 0.4× 145 1.0× 154 1.2× 8 467
Emily L. Kullman United States 8 152 0.5× 91 0.4× 41 0.2× 103 0.7× 74 0.6× 11 364
Mads Holten Denmark 6 448 1.3× 97 0.5× 167 1.0× 68 0.5× 148 1.2× 6 772
Joanna Karolkiewicz Poland 11 239 0.7× 71 0.3× 96 0.6× 55 0.4× 29 0.2× 38 484
Marisol García‐Unciti Spain 8 295 0.9× 85 0.4× 117 0.7× 65 0.5× 100 0.8× 8 480
G Mazzilli Italy 7 99 0.3× 193 1.0× 21 0.1× 127 0.9× 187 1.5× 12 417
Evan S. Berk United States 9 245 0.7× 97 0.5× 23 0.1× 52 0.4× 99 0.8× 11 393

Countries citing papers authored by James Gerofi

Since Specialization
Citations

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

Fields of papers citing papers by James Gerofi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Gerofi

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

All Works

16 of 16 papers shown
1.
Min, Danqing, Felix Marsh‐Wakefield, James Gerofi, et al.. (2024). Circulating CD31+ Angiogenic T cells are reduced in prediabetes and increase with exercise training. Journal of Diabetes and its Complications. 38(11). 108868–108868.
2.
Hocking, Samantha, Xiaoyu Wang, James Gerofi, et al.. (2024). Effect of low-volume exercise on hepatic steatosis in adults with obesity plus normal glucose, prediabetes or type 2 diabetes: a randomised controlled trial. BMJ Open Sport & Exercise Medicine. 10(4). e001878–e001878. 2 indexed citations
3.
Lanting, Sean, Kimberley L. Way, Angelo Sabag, et al.. (2022). The Efficacy of Exercise Training for Cutaneous Microvascular Reactivity in the Foot in People with Diabetes and Obesity: Secondary Analyses from a Randomized Controlled Trial. Journal of Clinical Medicine. 11(17). 5018–5018. 3 indexed citations
4.
Lanting, Sean, Kimberley L. Way, Angelo Sabag, et al.. (2021). Degree of adiposity and obesity severity is associated with cutaneous microvascular dysfunction in type 2 diabetes. Microvascular Research. 136. 104149–104149. 8 indexed citations
6.
Way, Kimberley L., Angelo Sabag, Rachelle N. Sultana, et al.. (2020). The effect of low-volume high-intensity interval training on cardiovascular health outcomes in type 2 diabetes: A randomised controlled trial. International Journal of Cardiology. 320. 148–154. 50 indexed citations
7.
Sabag, Angelo, Kimberley L. Way, Rachelle N. Sultana, et al.. (2020). The Effect of a Novel Low-Volume Aerobic Exercise Intervention on Liver Fat in Type 2 Diabetes: A Randomized Controlled Trial. Diabetes Care. 43(10). 2371–2378. 45 indexed citations
8.
Fuller, Nicholas R., Amanda Sainsbury, Ian D. Caterson, et al.. (2018). Effect of a high-egg diet on cardiometabolic risk factors in people with type 2 diabetes: the Diabetes and Egg (DIABEGG) Study—randomized weight-loss and follow-up phase. American Journal of Clinical Nutrition. 107(6). 921–931. 30 indexed citations
9.
Fuller, Nicholas R., Mackenzie Fong, James Gerofi, et al.. (2017). Comparison of an electronic versus traditional food diary for assessing dietary intake—A validation study. Obesity Research & Clinical Practice. 11(6). 647–654. 15 indexed citations
10.
Fuller, Nicholas R., Mackenzie Fong, James Gerofi, et al.. (2016). A randomized controlled trial to determine the efficacy of a high carbohydrate and high protein ready‐to‐eat food product for weight loss. Clinical Obesity. 6(2). 108–116. 7 indexed citations
11.
Fuller, Nicholas R., Ian D. Caterson, Amanda Sainsbury, et al.. (2015). The effect of a high-egg diet on cardiovascular risk factors in people with type 2 diabetes: the Diabetes and Egg (DIABEGG) study—a 3-mo randomized controlled trial. American Journal of Clinical Nutrition. 101(4). 705–713. 84 indexed citations
12.
Keating, Shelley E., Daniel Hackett, Helen M. Parker, et al.. (2015). Effect of aerobic exercise training dose on liver fat and visceral adiposity. Journal of Hepatology. 63(1). 174–182. 232 indexed citations
13.
Keating, Shelley E., Elizabeth A Machan, Helen O’Connor, et al.. (2014). Continuous Exercise but Not High Intensity Interval Training Improves Fat Distribution in Overweight Adults. Journal of Obesity. 2014. 1–12. 124 indexed citations
14.
Keating, Shelley E., Elizabeth A Machan, James Gerofi, et al.. (2013). Endurance exercise but not high-intensity interval training improves abdominal fat distribution in overweight adults. Journal of science and medicine in sport. 16. e15–e15. 1 indexed citations
15.
Fuller, Nicholas R., Namson S. Lau, Gareth Denyer, et al.. (2011). A 12-week, randomised, controlled trial to examine the acceptability of the Korean diet and its effectiveness on weight and metabolic parameters in an Australian overweight and obese population. Obesity Research & Clinical Practice. 6(1). e71–e83. 12 indexed citations
16.
Gerofi, James, et al.. (1968). [Study of asymptomatic true (significant) bacteriuria in the population of Budapest].. PubMed. 109(36). 1985–7. 2 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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