Jurgen Seppen

4.4k total citations
75 papers, 3.5k citations indexed

About

Jurgen Seppen is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jurgen Seppen has authored 75 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 21 papers in Genetics and 14 papers in Surgery. Recurrent topics in Jurgen Seppen's work include Virus-based gene therapy research (18 papers), RNA Interference and Gene Delivery (13 papers) and Neonatal Health and Biochemistry (12 papers). Jurgen Seppen is often cited by papers focused on Virus-based gene therapy research (18 papers), RNA Interference and Gene Delivery (13 papers) and Neonatal Health and Biochemistry (12 papers). Jurgen Seppen collaborates with scholars based in Netherlands, United States and Germany. Jurgen Seppen's co-authors include Ronald P.J. Oude Elferink, Piter J. Bosma, Wouter J. de Jonge, Conny Bakker, Jayanta Roy Chowdhury, Bart Goldhoorn, N R Chowdhury, William Osborne, Simon C. Barry and Plm Jansen and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Jurgen Seppen

74 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jurgen Seppen Netherlands 31 1.9k 725 587 505 466 75 3.5k
Marcelle Bens France 38 3.2k 1.6× 344 0.5× 572 1.0× 253 0.5× 291 0.6× 93 5.1k
M. A. Karim Rumi United States 37 1.6k 0.8× 516 0.7× 667 1.1× 591 1.2× 277 0.6× 98 4.0k
Laurent Tesson France 33 2.4k 1.3× 1.1k 1.5× 405 0.7× 182 0.4× 236 0.5× 90 3.9k
Bénédicte Gérard France 23 1.7k 0.9× 764 1.1× 203 0.3× 152 0.3× 211 0.5× 59 3.2k
Lut Overbergh Belgium 35 1.1k 0.6× 1.0k 1.4× 782 1.3× 128 0.3× 273 0.6× 104 4.8k
Toshiyuki Fukao Japan 41 3.0k 1.6× 710 1.0× 876 1.5× 308 0.6× 497 1.1× 307 6.3k
Anjaparavanda P. Naren United States 37 2.3k 1.2× 248 0.3× 400 0.7× 99 0.2× 427 0.9× 108 4.6k
William H. Hoffman United States 36 2.2k 1.1× 1.3k 1.7× 496 0.8× 132 0.3× 1.3k 2.8× 114 5.1k
Paula M. Oliver United States 22 1.5k 0.8× 278 0.4× 328 0.6× 90 0.2× 381 0.8× 28 3.7k
Makoto Nagano Japan 43 2.4k 1.2× 1.5k 2.1× 1.0k 1.8× 170 0.3× 227 0.5× 162 5.9k

Countries citing papers authored by Jurgen Seppen

Since Specialization
Citations

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

Fields of papers citing papers by Jurgen Seppen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jurgen Seppen

This figure shows the co-authorship network connecting the top 25 collaborators of Jurgen Seppen. A scholar is included among the top collaborators of Jurgen Seppen 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 Jurgen Seppen. Jurgen Seppen 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.
Leeuwen, Pim J. van, Andrew Y. F. Li Yim, Kay Diederen, et al.. (2025). Integrated multi-omics of feces, plasma and urine can describe and differentiate pediatric active Crohn’s Disease from remission. Communications Medicine. 5(1). 281–281.
2.
Seppen, Jurgen, et al.. (2025). Bile acids as germinants for Clostridioides difficile spores, evidence of adaptation to the gut?. FEMS Microbiology Reviews. 49. 2 indexed citations
3.
Verkerk, Arie O., Joost P. G. Sluijter, Diane Bakker, et al.. (2019). Cardiomyocyte Progenitor Cells as a Functional Gene Delivery Vehicle for Long-Term Biological Pacing. Molecules. 24(1). 181–181. 7 indexed citations
4.
Jonge, Wouter J. de, et al.. (2019). Painful interactions: Microbial compounds and visceral pain. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(1). 165534–165534. 22 indexed citations
5.
Welting, Olaf, Evgeni Levin, Daniele Maria‐Ferreira, et al.. (2018). Reversal of visceral hypersensitivity in rat by Menthacarin ® , a proprietary combination of essential oils from peppermint and caraway, coincides with mycobiome modulation. Neurogastroenterology & Motility. 30(6). e13299–e13299. 28 indexed citations
6.
Welting, Olaf, Sybren L. Meijer, Joost H.A. Folgering, et al.. (2017). Neuronal control of experimental colitis occurs via sympathetic intestinal innervation. Neurogastroenterology & Motility. 30(3). 51 indexed citations
7.
Dijk, Remco van, Sem J. Aronson, Dirk R. de Waart, et al.. (2017). Biliverdin Reductase inhibitors did not improve severe unconjugated hyperbilirubinemia in vivo. Scientific Reports. 7(1). 1646–1646. 19 indexed citations
8.
Roeselers, Guus, Evgeni Levin, Daisy Jonkers, et al.. (2017). Intestinal Fungal Dysbiosis Is Associated With Visceral Hypersensitivity in Patients With Irritable Bowel Syndrome and Rats. Gastroenterology. 153(4). 1026–1039. 145 indexed citations
9.
Abel, Tobias, Irene C. Schneider, Qinggong Yuan, et al.. (2013). Specific gene delivery to liver sinusoidal and artery endothelial cells. Blood. 122(12). 2030–2038. 44 indexed citations
10.
Seppen, Jurgen, et al.. (2013). Lynch syndrome: the patients perspective. Familial Cancer. 12(2). 341–345. 6 indexed citations
11.
Hoekstra, Ruurdtje, Geert A. A. Nibourg, Tessa V. van der Hoeven, et al.. (2012). Phase 1 and Phase 2 Drug Metabolism and Bile Acid Production of HepaRG Cells in a Bioartificial Liver in Absence of Dimethyl Sulfoxide. Drug Metabolism and Disposition. 41(3). 562–567. 25 indexed citations
12.
May, Tobias, David M. Markusic, Jurgen Seppen, et al.. (2009). Synthetic Gene Regulation Circuits for Control of Cell Expansion. Tissue Engineering Part A. 16(2). 441–452. 45 indexed citations
13.
Boink, Gerard J.J., Arie O. Verkerk, Shirley C.M. van Amersfoorth, et al.. (2008). Engineering physiologically controlled pacemaker cells with lentiviral HCN4 gene transfer. The Journal of Gene Medicine. 10(5). 487–497. 26 indexed citations
14.
Boink, Gerard J.J., Jurgen Seppen, Jacques M.T. de Bakker, & Hanno L. Tan. (2006). Gene therapy to create biological pacemakers. Medical & Biological Engineering & Computing. 45(2). 167–176. 3 indexed citations
15.
Seppen, Jurgen, et al.. (2005). Immune response to lentiviral bilirubin UDP-glucuronosyltransferase gene transfer in fetal and neonatal rats. Gene Therapy. 13(8). 672–677. 34 indexed citations
16.
Dekker, Rob J., Johannes V. van Thienen, Jakub Rohlena, et al.. (2005). Endothelial KLF2 Links Local Arterial Shear Stress Levels to the Expression of Vascular Tone-Regulating Genes. American Journal Of Pathology. 167(2). 609–618. 289 indexed citations
17.
Carlotti, Françoise, Merlijn Bazuine, Tuija Kekarainen, et al.. (2004). Lentiviral Vectors Efficiently Transduce Quiescent Mature 3T3-L1 Adipocytes. Molecular Therapy. 9(2). 209–217. 137 indexed citations
18.
Seppen, Jurgen, et al.. (2003). Long-term correction of bilirubin UDPglucuronyltransferase deficiency in rats by in utero lentiviral gene transfer. Molecular Therapy. 8(4). 593–599. 71 indexed citations
19.
Seppen, Jurgen, et al.. (2002). Lentiviral vectors for efficient transduction of isolated primary quiescent hepatocytes. Journal of Hepatology. 36(4). 459–465. 111 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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