Lisa M. Nicholas

782 total citations
19 papers, 591 citations indexed

About

Lisa M. Nicholas is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Lisa M. Nicholas has authored 19 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pediatrics, Perinatology and Child Health, 10 papers in Obstetrics and Gynecology and 6 papers in Surgery. Recurrent topics in Lisa M. Nicholas's work include Birth, Development, and Health (13 papers), Gestational Diabetes Research and Management (8 papers) and Pancreatic function and diabetes (5 papers). Lisa M. Nicholas is often cited by papers focused on Birth, Development, and Health (13 papers), Gestational Diabetes Research and Management (8 papers) and Pancreatic function and diabetes (5 papers). Lisa M. Nicholas collaborates with scholars based in Australia, United Kingdom and Sweden. Lisa M. Nicholas's co-authors include Susan E. Ozanne, Janna L. Morrison, Leewen Rattanatray, I. Caroline McMillen, Song Zhang, Hindrik Mulder, Lena Eliasson, Severence M. MacLaughlin, Simon K. Walker and Malin Fex and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and Diabetes.

In The Last Decade

Lisa M. Nicholas

19 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa M. Nicholas Australia 12 313 199 174 160 120 19 591
Lisa A. Joss‐Moore United States 19 455 1.5× 172 0.9× 141 0.8× 135 0.8× 151 1.3× 35 793
Sandra A. Reza‐López Mexico 16 376 1.2× 291 1.5× 142 0.8× 146 0.9× 31 0.3× 39 664
Christina Vohlen Germany 15 269 0.9× 130 0.7× 70 0.4× 148 0.9× 92 0.8× 40 509
Kasper Pilgaard Denmark 14 328 1.0× 164 0.8× 144 0.8× 153 1.0× 192 1.6× 28 716
Marilyn Lacroix Canada 11 304 1.0× 434 2.2× 76 0.4× 64 0.4× 69 0.6× 16 603
Amanda Harrell United States 4 308 1.0× 175 0.9× 54 0.3× 171 1.1× 25 0.2× 6 430
A Avila Chile 10 300 1.0× 154 0.8× 53 0.3× 84 0.5× 41 0.3× 19 487
Jean-Sébastien Wattez United States 12 143 0.5× 97 0.5× 68 0.4× 137 0.9× 68 0.6× 14 356
Sarah Comstock United States 6 194 0.6× 97 0.5× 39 0.2× 108 0.7× 42 0.3× 8 294
Song Ah Chae United States 11 157 0.5× 97 0.5× 90 0.5× 168 1.1× 46 0.4× 20 376

Countries citing papers authored by Lisa M. Nicholas

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Nicholas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa M. Nicholas. 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 Lisa M. Nicholas. The network helps show where Lisa M. Nicholas may publish in the future.

Co-authorship network of co-authors of Lisa M. Nicholas

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

All Works

19 of 19 papers shown
1.
Li, Hui, et al.. (2025). Pregnancy and a high‐fat, high‐sugar diet each attenuate mechanosensitivity of murine gastric vagal afferents, with no additive effects. The Journal of Physiology. 603(6). 1461–1481. 3 indexed citations
2.
Huang, Weikun, Cong Xie, Ning Liu, et al.. (2024). Effects of a bitter substance, denatonium benzoate, on pancreatic hormone secretion. American Journal of Physiology-Endocrinology and Metabolism. 326(4). E537–E544. 3 indexed citations
3.
Niu, Youguo, Katie L. Skeffington, Christian Beck, et al.. (2023). Molecular mechanisms underlying adverse effects of dexamethasone and betamethasone in the developing cardiovascular system. The FASEB Journal. 37(6). e22887–e22887. 4 indexed citations
6.
Spiroski, Ana‐Mishel, Youguo Niu, Lisa M. Nicholas, et al.. (2021). Mitochondria antioxidant protection against cardiovascular dysfunction programmed by early‐onset gestational hypoxia. The FASEB Journal. 35(5). e21446–e21446. 23 indexed citations
7.
Niu, Youguo, Katie L. Skeffington, Christian Beck, et al.. (2020). Isolating adverse effects of glucocorticoids on the embryonic cardiovascular system. The FASEB Journal. 34(7). 9664–9677. 9 indexed citations
8.
Nicholas, Lisa M., Mototsugu Nagao, Laura C. Kusinski, et al.. (2019). Exposure to maternal obesity programs sex differences in pancreatic islets of the offspring in mice. Diabetologia. 63(2). 324–337. 47 indexed citations
9.
Nicholas, Lisa M. & Susan E. Ozanne. (2019). Early life programming in mice by maternal overnutrition: mechanistic insights and interventional approaches. Philosophical Transactions of the Royal Society B Biological Sciences. 374(1770). 20180116–20180116. 23 indexed citations
10.
Fex, Malin, Lisa M. Nicholas, Neelanjan Vishnu, et al.. (2018). The pathogenetic role of β-cell mitochondria in type 2 diabetes. Journal of Endocrinology. 236(3). R145–R159. 71 indexed citations
11.
Nicholas, Lisa M., Anya Medina, Lotta E. Andersson, et al.. (2017). Mitochondrial transcription factor B2 is essential for mitochondrial and cellular function in pancreatic β-cells. Molecular Metabolism. 6(7). 651–663. 40 indexed citations
12.
Ghazanfar, Shila, Tony Vuocolo, Janna L. Morrison, et al.. (2017). Gene expression allelic imbalance in ovine brown adipose tissue impacts energy homeostasis. PLoS ONE. 12(6). e0180378–e0180378. 7 indexed citations
13.
Nicholas, Lisa M., et al.. (2015). The early origins of obesity and insulin resistance: timing, programming and mechanisms. International Journal of Obesity. 40(2). 229–238. 114 indexed citations
14.
Sharoyko, Vladimir V., Mia Abels, Jiangming Sun, et al.. (2014). Loss of TFB1M results in mitochondrial dysfunction that leads to impaired insulin secretion and diabetes. Human Molecular Genetics. 23(21). 5733–5749. 47 indexed citations
15.
Nicholas, Lisa M., Leewen Rattanatray, Janna L. Morrison, et al.. (2014). Maternal obesity or weight loss around conception impacts hepatic fatty acid metabolism in the offspring. Obesity. 22(7). 1685–1693. 20 indexed citations
16.
Rattanatray, Leewen, Beverly S. Mühlhäusler, Lisa M. Nicholas, Janna L. Morrison, & I. Caroline McMillen. (2013). Impact of maternal overnutrition on gluconeogenic factors and methylation of the phosphoenolpyruvate carboxykinase promoter in the fetal and postnatal liver. Pediatric Research. 75(1). 14–21. 12 indexed citations
18.
Nicholas, Lisa M., Leewen Rattanatray, Severence M. MacLaughlin, et al.. (2013). Differential effects of maternal obesity and weight loss in the periconceptional period on the epigenetic regulation of hepatic insulin‐signaling pathways in the offspring. The FASEB Journal. 27(9). 3786–3796. 88 indexed citations
19.
Zhang, Song, Leewen Rattanatray, Janna L. Morrison, et al.. (2011). Maternal Obesity and the Early Origins of Childhood Obesity: Weighing Up the Benefits and Costs of Maternal Weight Loss in the Periconceptional Period for the Offspring. Experimental Diabetes Research. 2011. 1–10. 46 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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