Svenja Sydor

1.7k total citations
38 papers, 1.0k citations indexed

About

Svenja Sydor is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Svenja Sydor has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 13 papers in Molecular Biology and 13 papers in Hepatology. Recurrent topics in Svenja Sydor's work include Liver Disease Diagnosis and Treatment (25 papers), Liver Disease and Transplantation (7 papers) and Liver physiology and pathology (6 papers). Svenja Sydor is often cited by papers focused on Liver Disease Diagnosis and Treatment (25 papers), Liver Disease and Transplantation (7 papers) and Liver physiology and pathology (6 papers). Svenja Sydor collaborates with scholars based in Germany, Netherlands and United States. Svenja Sydor's co-authors include Ali Canbay, Lars P. Bechmann, Guido Gerken, Jan‐Peter Sowa, Martin Schlattjan, A Beilfuss, Jan Best, Wing‐Kin Syn, Scott L. Friedman and Klaas Nico Faber and has published in prestigious journals such as PLoS ONE, Hepatology and Gut.

In The Last Decade

Svenja Sydor

37 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Svenja Sydor Germany 17 625 292 279 200 166 38 1.0k
Kei Moriya Japan 16 478 0.8× 364 1.2× 347 1.2× 203 1.0× 198 1.2× 61 1.2k
Julia Wattacheril United States 17 827 1.3× 240 0.8× 356 1.3× 149 0.7× 292 1.8× 32 1.1k
Hiroaki Takaya Japan 19 594 1.0× 296 1.0× 483 1.7× 203 1.0× 143 0.9× 82 1.2k
Petra Windmolders Belgium 13 761 1.2× 332 1.1× 478 1.7× 223 1.1× 188 1.1× 24 1.3k
Emilia Ip Australia 7 668 1.1× 386 1.3× 163 0.6× 132 0.7× 243 1.5× 14 958
Xian‐E Peng China 17 472 0.8× 233 0.8× 159 0.6× 136 0.7× 206 1.2× 69 846
Jan Best Germany 20 688 1.1× 264 0.9× 551 2.0× 261 1.3× 125 0.8× 56 1.2k
Jing Hou China 17 515 0.8× 326 1.1× 176 0.6× 173 0.9× 241 1.5× 27 1.1k
Adam Sheka United States 12 898 1.4× 315 1.1× 334 1.2× 344 1.7× 326 2.0× 21 1.3k
Mutsumi Tsuchishima Japan 16 456 0.7× 178 0.6× 241 0.9× 155 0.8× 110 0.7× 50 797

Countries citing papers authored by Svenja Sydor

Since Specialization
Citations

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

Fields of papers citing papers by Svenja Sydor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svenja Sydor

This figure shows the co-authorship network connecting the top 25 collaborators of Svenja Sydor. A scholar is included among the top collaborators of Svenja Sydor 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 Svenja Sydor. Svenja Sydor 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.
Sydor, Svenja, Mustafa Özçürümez, Wing‐Kin Syn, et al.. (2025). Non-Alcoholic Beer Influences Glucose and Lipid Metabolism and Changes Body Composition in Healthy, Young, Male Adults. Nutrients. 17(10). 1625–1625.
2.
Sydor, Svenja, Jan Best, Martin Steinmetz, et al.. (2024). Religious intermittent fasting: Effects on liver health, metabolic markers, and gut microbiota in type 2 diabetes patients. Clinical Nutrition Open Science. 58. 370–383. 2 indexed citations
3.
Cortés-Mancera, Fabián, Janette Heegsma, Bart van de Sluis, et al.. (2023). Mitochondrial DNA methylation in metabolic associated fatty liver disease. Frontiers in Nutrition. 10. 964337–964337. 14 indexed citations
4.
5.
Sydor, Svenja, Paul Manka, Ramiro Vilchez‐Vargas, et al.. (2021). Gender and gut microbiota composition determine hepatic bile acid, metabolic and inflammatory response to a single fast-food meal in healthy adults. Clinical Nutrition. 40(5). 2609–2619. 10 indexed citations
6.
Bourgonje, Arno R., Amaal Eman Abdulle, Andreas Pasch, et al.. (2020). Oxidative stress is associated with suspected non‐alcoholic fatty liver disease and all‐cause mortality in the general population. Liver International. 40(9). 2148–2159. 32 indexed citations
7.
Morán, L. Ortega, Peng Jin, Beatriz Salinas, et al.. (2020). Intestinal Epithelial Cell-Derived Extracellular Vesicles Modulate Hepatic Injury via the Gut-Liver Axis During Acute Alcohol Injury. Frontiers in Pharmacology. 11. 603771–603771. 25 indexed citations
8.
Schallert, Kay, Ramiro Vilchez‐Vargas, Dirk Benndorf, et al.. (2019). Metaproteomics of fecal samples of Crohn's disease and Ulcerative Colitis. Journal of Proteomics. 201. 93–103. 49 indexed citations
9.
Schotten, Clemens, Lars P. Bechmann, Paul Manka, et al.. (2019). NAFLD-Associated Comorbidities in Advanced Stage HCC Do Not Alter the Safety and Efficacy of Yttrium-90 Radioembolization. Liver Cancer. 8(6). 491–504. 17 indexed citations
10.
Zoubek, Miguel Eugenio, Svenja Sydor, Leonard J. Nelson, et al.. (2018). Protective role of c‐Jun N‐terminal kinase‐2 (JNK2) in ibuprofen‐induced acute liver injury. The Journal of Pathology. 247(1). 110–122. 8 indexed citations
11.
Mazzolini, Guillermo, Catalina Atorrasagasti, Estanislao Peixoto, et al.. (2018). SPARC expression is associated with hepatic injury in rodents and humans with non-alcoholic fatty liver disease. Scientific Reports. 8(1). 725–725. 27 indexed citations
12.
Kaiser, Gernot, Henning Reis, Svenja Sydor, et al.. (2018). Comparison of the sixth and the seventh editions of the UICC classification for intrahepatic cholangiocarcinoma. European journal of medical research. 23(1). 29–29. 2 indexed citations
13.
Anastasiou, Olympia E., Svenja Sydor, Jan‐Peter Sowa, et al.. (2015). Higher Thyroid-Stimulating Hormone, Triiodothyronine and Thyroxine Values Are Associated with Better Outcome in Acute Liver Failure. PLoS ONE. 10(7). e0132189–e0132189. 14 indexed citations
14.
Beilfuss, A, Jan‐Peter Sowa, Svenja Sydor, et al.. (2014). Vitamin D counteracts fibrogenic TGF-β signalling in human hepatic stellate cells both receptor-dependently and independently. Gut. 64(5). 791–799. 120 indexed citations
15.
Sowa, Jan‐Peter, Alişan Kahraman, Martin Schlattjan, et al.. (2014). Non-Invasive Separation of Alcoholic and Non-Alcoholic Liver Disease with Predictive Modeling. PLoS ONE. 9(7). e101444–e101444. 45 indexed citations
16.
Fingas, Christian D., Akif Altınbaş, Martin Schlattjan, et al.. (2013). Expression of Apoptosis- and Vitamin D Pathway-Related Genes in Hepatocellular Carcinoma. Digestion. 87(3). 176–181. 17 indexed citations
17.
Kahraman, Alişan, Jan‐Peter Sowa, Martin Schlattjan, et al.. (2013). Fetuin-A mRNA expression is elevated in NASH compared with NAFL patients. Clinical Science. 125(8). 391–400. 52 indexed citations
18.
Sydor, Svenja, Yanli Gu, Martin Schlattjan, et al.. (2012). Steatosis does not impair liver regeneration after partial hepatectomy. Laboratory Investigation. 93(1). 20–30. 43 indexed citations
19.
Herzer, Kerstin, Svenja Sydor, Jan‐Peter Sowa, et al.. (2012). Deficiency of the Promyelocytic Leukemia Protein Fosters Hepatitis C-Associated Hepatocarcinogenesis in Mice. PLoS ONE. 7(9). e44474–e44474. 8 indexed citations
20.

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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