Jacqueline Williams

583 total citations
8 papers, 475 citations indexed

About

Jacqueline Williams is a scholar working on Epidemiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jacqueline Williams has authored 8 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jacqueline Williams's work include Liver Disease Diagnosis and Treatment (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Diet, Metabolism, and Disease (4 papers). Jacqueline Williams is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Diet, Metabolism, and Disease (4 papers). Jacqueline Williams collaborates with scholars based in Australia, United States and Brazil. Jacqueline Williams's co-authors include Geoffrey C. Farrell, Claire Z. Larter, Matthew M. Yeh, Kim Bell‐Anderson, Aileen Dela Peňa, John Brooling, Jing Hou, Narci Teoh, Isabelle Leclercq and Narcissus Teoh and has published in prestigious journals such as Hepatology, Journal of Hepatology and Journal of Gastroenterology and Hepatology.

In The Last Decade

Jacqueline Williams

8 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline Williams Australia 8 377 142 142 111 76 8 475
Masafumi Uno Japan 4 288 0.8× 146 1.0× 147 1.0× 81 0.7× 46 0.6× 6 410
Philippe Delataille France 3 310 0.8× 156 1.1× 131 0.9× 110 1.0× 59 0.8× 5 388
Rizwana Mohseni United States 4 404 1.1× 133 0.9× 217 1.5× 116 1.0× 93 1.2× 6 484
Michael Charlton United States 7 275 0.7× 155 1.1× 90 0.6× 139 1.3× 51 0.7× 10 485
Abraham Younoszai United States 5 493 1.3× 105 0.7× 216 1.5× 157 1.4× 79 1.0× 6 585
Rory P. Cunningham United States 13 382 1.0× 204 1.4× 174 1.2× 90 0.8× 60 0.8× 23 623
F. Mirshahi United States 5 404 1.1× 320 2.3× 120 0.8× 90 0.8× 52 0.7× 9 622
Francesca Virginia Bruschi Austria 11 361 1.0× 86 0.6× 143 1.0× 149 1.3× 132 1.7× 13 465
Christopher McPhaul United States 4 400 1.1× 101 0.7× 232 1.6× 92 0.8× 116 1.5× 6 552
Yasuko Nozaki Japan 8 501 1.3× 89 0.6× 308 2.2× 165 1.5× 102 1.3× 10 593

Countries citing papers authored by Jacqueline Williams

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Williams

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

All Works

8 of 8 papers shown
2.
Farrell, Geoffrey C., Claire Z. Larter, Jing Hou, et al.. (2009). Apoptosis in experimental NASH is associated with p53 activation and TRAIL receptor expression. Journal of Gastroenterology and Hepatology. 24(3). 443–452. 106 indexed citations
3.
Larter, Claire Z., Matthew M. Yeh, Derrick M. Van Rooyen, et al.. (2009). Roles of adipose restriction and metabolic factors in progression of steatosis to steatohepatitis in obese, diabetic mice. Journal of Gastroenterology and Hepatology. 24(10). 1658–1668. 69 indexed citations
4.
Larter, Claire Z., Matthew M. Yeh, W. Geoffrey Haigh, et al.. (2008). Hepatic free fatty acids accumulate in experimental steatohepatitis: Role of adaptive pathways. Journal of Hepatology. 48(4). 638–647. 63 indexed citations
5.
Larter, Claire Z., Matthew M. Yeh, Jacqueline Williams, Kim Bell‐Anderson, & Geoffrey C. Farrell. (2008). MCD-induced steatohepatitis is associated with hepatic adiponectin resistance and adipogenic transformation of hepatocytes. Journal of Hepatology. 49(3). 407–416. 98 indexed citations
6.
Larter, Claire Z., Matthew M. Yeh, Jenny Cheng, et al.. (2007). Activation of peroxisome proliferator‐activated receptor α by dietary fish oil attenuates steatosis, but does not prevent experimental steatohepatitis because of hepatic lipoperoxide accumulation. Journal of Gastroenterology and Hepatology. 23(2). 267–275. 57 indexed citations
7.
Peňa, Aileen Dela, Isabelle Leclercq, Jacqueline Williams, & Geoffrey C. Farrell. (2006). NADPH oxidase is not an essential mediator of oxidative stress or liver injury in murine MCD diet-induced steatohepatitis. Journal of Hepatology. 46(2). 304–313. 40 indexed citations
8.
Peres, Carmem Maldonado, et al.. (1997). Evidence for the transfer in culture of [14C]‐labelled fatty acids from macrophages to lymphocytes. IUBMB Life. 43(5). 1137–1144. 11 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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