Jan Rothuizen

3.6k total citations
107 papers, 2.3k citations indexed

About

Jan Rothuizen is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Jan Rothuizen has authored 107 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hepatology, 34 papers in Epidemiology and 32 papers in Surgery. Recurrent topics in Jan Rothuizen's work include Liver Disease Diagnosis and Treatment (30 papers), Liver physiology and pathology (21 papers) and Liver Disease and Transplantation (20 papers). Jan Rothuizen is often cited by papers focused on Liver Disease Diagnosis and Treatment (30 papers), Liver physiology and pathology (21 papers) and Liver Disease and Transplantation (20 papers). Jan Rothuizen collaborates with scholars based in Netherlands, Belgium and United States. Jan Rothuizen's co-authors include Louis C. Penning, Bart Spee, T.S.G.A.M. van den Ingh, Bas Brinkhof, George Voorhout, Frederik J. van Sluijs, Bernard A. van Oost, Viktor Szatmári, Baukje A. Schotanus and Robin E. Everts and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Jan Rothuizen

104 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Rothuizen Netherlands 28 822 719 614 451 342 107 2.3k
T.S.G.A.M. van den Ingh Netherlands 33 619 0.8× 677 0.9× 735 1.2× 477 1.1× 538 1.6× 132 3.5k
Margaret Mentink‐Kane United States 27 280 0.3× 339 0.5× 299 0.5× 531 1.2× 186 0.5× 40 3.7k
R M Binns United Kingdom 32 278 0.3× 885 1.2× 232 0.4× 543 1.2× 105 0.3× 115 3.5k
Steven P. O’Hara United States 30 1.1k 1.4× 1.0k 1.4× 766 1.2× 846 1.9× 61 0.2× 53 3.1k
David R. Withers United Kingdom 40 308 0.4× 1.4k 1.9× 626 1.0× 976 2.2× 84 0.2× 95 5.3k
Mitsuyoshi Takiguchi Japan 25 100 0.1× 328 0.5× 384 0.6× 354 0.8× 88 0.3× 178 2.1k
Remo Castro Russo Brazil 33 107 0.1× 414 0.6× 515 0.8× 909 2.0× 111 0.3× 99 3.7k
De’Broski R. Herbert United States 31 77 0.1× 713 1.0× 417 0.7× 548 1.2× 195 0.6× 80 4.2k
Tomohiro Yoshimoto Japan 35 91 0.1× 1.3k 1.8× 603 1.0× 1.5k 3.3× 70 0.2× 61 7.6k
Erik Teske Netherlands 34 151 0.2× 392 0.5× 296 0.5× 477 1.1× 106 0.3× 160 3.7k

Countries citing papers authored by Jan Rothuizen

Since Specialization
Citations

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

Fields of papers citing papers by Jan Rothuizen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Rothuizen

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Rothuizen. A scholar is included among the top collaborators of Jan Rothuizen 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 Jan Rothuizen. Jan Rothuizen 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.
Kruitwagen, Hedwig S., Bart Westendorp, Cornelia S. Viebahn, et al.. (2017). DYRK1A Is a Regulator of S-Phase Entry in Hepatic Progenitor Cells. Stem Cells and Development. 27(2). 133–146. 5 indexed citations
2.
Nantasanti, Sathidpak, Alain de Bruin, Jan Rothuizen, Louis C. Penning, & Baukje A. Schotanus. (2016). Concise Review: Organoids Are a Powerful Tool for the Study of Liver Disease and Personalized Treatment Design in Humans and Animals. Stem Cells Translational Medicine. 5(3). 325–330. 63 indexed citations
3.
Nantasanti, Sathidpak, Bart Spee, Hedwig S. Kruitwagen, et al.. (2015). Disease Modeling and Gene Therapy of Copper Storage Disease in Canine Hepatic Organoids. Stem Cell Reports. 5(5). 895–907. 90 indexed citations
4.
Szatmári, Viktor, et al.. (2011). Ultrasound-guided serial transabdominal cardiac biopsies in cats. The Veterinary Journal. 191(3). 341–346. 2 indexed citations
5.
IJzer, Jooske, et al.. (2009). The Progenitor Cell Compartment in the Feline Liver: An (Immuno)Histochemical Investigation. Veterinary Pathology. 46(4). 614–621. 18 indexed citations
6.
Rothuizen, Jan. (2009). Important Clinical Syndromes Associated with Liver Disease. Veterinary Clinics of North America Small Animal Practice. 39(3). 419–437. 38 indexed citations
7.
Arends, Brigitte, Hugo Vankelecom, Sara Vander Borght, et al.. (2008). The Dog Liver Contains a “Side Population” of Cells with Hepatic Progenitor-Like Characteristics. Stem Cells and Development. 18(2). 343–350. 20 indexed citations
8.
9.
Janss, Luc, et al.. (2008). Relationship of cryptorchidism with sex ratios and litter sizes in 12 dog breeds. Animal Reproduction Science. 113(1-4). 187–195. 11 indexed citations
10.
Rothuizen, Jan, et al.. (2006). High Complication Rate of an Automatic Tru-Cut Biopsy Gun Device for Liver Biopsy in Cats. Journal of Veterinary Internal Medicine. 20(6). 1327–1333. 15 indexed citations
11.
12.
Zandvliet, Maurice M.J.M., et al.. (2005). Acquired Portosystemic Shunting in 2 Cats Secondary to Congenital Hepatic Fibrosis. Journal of Veterinary Internal Medicine. 19(5). 765–767. 17 indexed citations
13.
Favier, Robert P., Bart Spee, Louis C. Penning, Bas Brinkhof, & Jan Rothuizen. (2005). Quantitative PCR method to detect a 13-kb deletion in the MURR1 gene associated with copper toxicosis and HIV-1 replication. Mammalian Genome. 16(6). 460–463. 9 indexed citations
14.
Mandigers, Paul J. J., T.S.G.A.M. van den Ingh, Bart Spee, et al.. (2004). Chronic hepatitis in Doberman pinschers. A review. Veterinary Quarterly. 26(3). 98–106. 21 indexed citations
15.
Szatmári, Viktor, Jan Rothuizen, & George Voorhout. (2004). Standard planes for ultrasonographic examination of the portal system in dogs. Journal of the American Veterinary Medical Association. 224(5). 713–716. 28 indexed citations
16.
Szatmári, Viktor, Frederik J. van Sluijs, Jan Rothuizen, & George Voorhout. (2003). Intraoperative ultrasonography of the portal vein during attenuation of intrahepatic portocaval shunts in dogs. Journal of the American Veterinary Medical Association. 222(8). 1086–1092. 12 indexed citations
17.
Ingh, T.S.G.A.M. van den, et al.. (2000). Population Dynamics of Inherited Copper Toxicosis in Dutch Bedlington Terriers (1977–1997). Journal of Veterinary Internal Medicine. 14(2). 172–176. 4 indexed citations
18.
Ingh, T.S.G.A.M. van den, et al.. (2000). Population Dynamics of Inherited Copper Toxicosis in Dutch Bedlington Terriers (1977–1997). Journal of Veterinary Internal Medicine. 14(2). 172–172. 8 indexed citations
19.
Meyer, H.P., et al.. (1998). Prediction of inherited portosystemic shunts in Irish Wolfhounds on the basis of pedigree analysis. American Journal of Veterinary Research. 59(12). 1553–1553. 21 indexed citations
20.
Meyer, H.P., et al.. (1994). Quantitation of portosystemic shunting in dogs by ultrasound-guided injection of 99MTc-macroaggregates into a splenic vein. Research in Veterinary Science. 57(1). 58–62. 24 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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