Derrick M. Van Rooyen

2.2k total citations · 1 hit paper
12 papers, 1.8k citations indexed

About

Derrick M. Van Rooyen is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Hepatology. According to data from OpenAlex, Derrick M. Van Rooyen has authored 12 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 4 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Hepatology. Recurrent topics in Derrick M. Van Rooyen's work include Liver Disease Diagnosis and Treatment (11 papers), Diet, Metabolism, and Disease (4 papers) and Hepatitis C virus research (3 papers). Derrick M. Van Rooyen is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Diet, Metabolism, and Disease (4 papers) and Hepatitis C virus research (3 papers). Derrick M. Van Rooyen collaborates with scholars based in Australia, United States and Canada. Derrick M. Van Rooyen's co-authors include Geoffrey C. Farrell, Matthew M. Yeh, Narci Teoh, George N. Ioannou, Claire Z. Larter, Christopher Savard, Auvro R. Mridha, Avril A. B. Robertson, Matthew A. Cooper and Seth L. Masters and has published in prestigious journals such as Gastroenterology, Journal of Hepatology and Journal of Lipid Research.

In The Last Decade

Derrick M. Van Rooyen

12 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NLRP3 inflammasome blockade reduces liver inflammation and fibrosis in experimental NASH in mice

2017 863 citations Auvro R. Mridha, Alexander Wree et al. Journal of Hepatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Derrick M. Van Rooyen Australia	11	1.3k	699	449	391	300	12	1.8k
Veerle Bieghs Netherlands	22	1.4k 1.2×	616 0.9×	576 1.3×	383 1.0×	513 1.7×	28	2.1k
Fahrettin Haczeyni Australia	8	939 0.7×	654 0.9×	281 0.6×	285 0.7×	193 0.6×	8	1.4k
María E. Miquilena-Colina Spain	14	1.0k 0.8×	449 0.6×	361 0.8×	178 0.5×	227 0.8×	16	1.5k
María Eugenia Inzaugarat Germany	14	882 0.7×	629 0.9×	236 0.5×	386 1.0×	171 0.6×	19	1.5k
Bubu A. Banini United States	14	958 0.8×	375 0.5×	427 1.0×	308 0.8×	169 0.6×	37	1.3k
C. Rychlicki Italy	15	771 0.6×	519 0.7×	441 1.0×	293 0.7×	382 1.3×	29	1.4k
Cristiana Bertolani Italy	12	1.0k 0.8×	265 0.4×	251 0.6×	514 1.3×	234 0.8×	15	1.5k
Patricia Aspichueta Spain	21	778 0.6×	585 0.8×	366 0.8×	160 0.4×	217 0.7×	51	1.5k
C. Candelaresi Italy	20	952 0.8×	587 0.8×	505 1.1×	478 1.2×	488 1.6×	31	1.8k
Javier Vargas‐Castrillón Spain	10	980 0.8×	397 0.6×	327 0.7×	150 0.4×	213 0.7×	13	1.3k

Countries citing papers authored by Derrick M. Van Rooyen

Since Specialization

Citations

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

Fields of papers citing papers by Derrick M. Van Rooyen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Derrick M. Van Rooyen. 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 Derrick M. Van Rooyen. The network helps show where Derrick M. Van Rooyen may publish in the future.

Co-authorship network of co-authors of Derrick M. Van Rooyen

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

All Works

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12 of 12 papers shown

Ayonrinde, Oyedeji, Derrick M. Van Rooyen, Robert J. Tait, et al.. (2022). The prevalence and significance of gestational cannabis use at an Australian tertiary hospital. Australian and New Zealand Journal of Obstetrics and Gynaecology. 63(1). 6–12. 9 indexed citations

Golen, Rowan F. van, Megan J. Reiniers, Gerben Marsman, et al.. (2019). The damage-associated molecular pattern HMGB1 is released early after clinical hepatic ischemia/reperfusion. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(6). 1192–1200. 26 indexed citations

Mridha, Auvro R., Alexander Wree, Avril A. B. Robertson, et al.. (2017). NLRP3 inflammasome blockade reduces liver inflammation and fibrosis in experimental NASH in mice. Journal of Hepatology. 66(5). 1037–1046. 863 indexed citations breakdown →

Gan, Lay T., Derrick M. Van Rooyen, Mark E. Koina, et al.. (2014). Hepatocyte free cholesterol lipotoxicity results from JNK1-mediated mitochondrial injury and is HMGB1 and TLR4-dependent. Journal of Hepatology. 61(6). 1376–1384. 157 indexed citations

Ioannou, George N., Derrick M. Van Rooyen, Christopher Savard, et al.. (2014). Cholesterol-lowering drugs cause dissolution of cholesterol crystals and disperse Kupffer cell crown-like structures during resolution of NASH. Journal of Lipid Research. 56(2). 277–285. 75 indexed citations

Legry, Vanessa, Derrick M. Van Rooyen, Christine Sempoux, et al.. (2014). Endoplasmic reticulum stress does not contribute to steatohepatitis in obese and insulin-resistant high-fat-diet-fed foz/foz mice. Clinical Science. 127(7). 507–518. 18 indexed citations

Larter, Claire Z., Matthew M. Yeh, W. Geoffrey Haigh, et al.. (2013). Dietary modification dampens liver inflammation and fibrosis in obesity-related fatty liver disease. Obesity. 21(6). 1189–1199. 29 indexed citations

Rooyen, Derrick M. Van, Lay T. Gan, Matthew M. Yeh, et al.. (2013). Pharmacological cholesterol lowering reverses fibrotic NASH in obese, diabetic mice with metabolic syndrome. Journal of Hepatology. 59(1). 144–152. 97 indexed citations

Farrell, Geoffrey C., Auvro R. Mridha, Matthew M. Yeh, et al.. (2013). Strain dependence of diet‐induced NASH and liver fibrosis in obese mice is linked to diabetes and inflammatory phenotype. Liver International. 34(7). 1084–1093. 73 indexed citations

10.

Larter, Claire Z., et al.. (2011). Peroxisome proliferator‐activated receptor‐α agonist, Wy 14 643, improves metabolic indices, steatosis and ballooning in diabetic mice with non‐alcoholic steatohepatitis. Journal of Gastroenterology and Hepatology. 27(2). 341–350. 80 indexed citations

11.

Rooyen, Derrick M. Van, Claire Z. Larter, W. Geoffrey Haigh, et al.. (2011). Hepatic Free Cholesterol Accumulates in Obese, Diabetic Mice and Causes Nonalcoholic Steatohepatitis. Gastroenterology. 141(4). 1393–1403.e5. 273 indexed citations

12.

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

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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