Matthias Schlensak

1.9k total citations · 1 hit paper
17 papers, 1.3k citations indexed

About

Matthias Schlensak is a scholar working on Epidemiology, Physiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Matthias Schlensak has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Physiology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Matthias Schlensak's work include Liver Disease Diagnosis and Treatment (10 papers), Diet and metabolism studies (5 papers) and Lipid metabolism and disorders (4 papers). Matthias Schlensak is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Diet and metabolism studies (5 papers) and Lipid metabolism and disorders (4 papers). Matthias Schlensak collaborates with scholars based in Germany, United States and Austria. Matthias Schlensak's co-authors include Michael Roden, Christian Herder, Tomáš Jeleník, Chrysi Koliaki, Frank Jankowiak, Julia Szendroedi, Kirti Kaul, Wolfram Trudo Knoefel, Maren Carstensen and P. Nowotny and has published in prestigious journals such as Nature Communications, Hepatology and Diabetes Care.

In The Last Decade

Matthias Schlensak

16 papers receiving 1.2k citations

Hit Papers

Adaptation of Hepatic Mitochondrial Function in Humans wi... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Schlensak Germany 9 883 458 400 387 199 17 1.3k
Frank Jankowiak Germany 5 720 0.8× 399 0.9× 299 0.7× 321 0.8× 127 0.6× 6 1.0k
M Pérez-Carreras Spain 8 927 1.0× 401 0.9× 284 0.7× 400 1.0× 129 0.6× 21 1.2k
Janne Makkonen Finland 9 634 0.7× 319 0.7× 326 0.8× 371 1.0× 123 0.6× 9 982
Xingyong Wan China 15 800 0.9× 515 1.1× 194 0.5× 258 0.7× 276 1.4× 29 1.5k
April D. Lake United States 17 870 1.0× 429 0.9× 162 0.4× 238 0.6× 119 0.6× 23 1.3k
Xabier Buqué Spain 11 535 0.6× 325 0.7× 183 0.5× 258 0.7× 106 0.5× 22 861
Derrick M. Van Rooyen Australia 11 1.3k 1.4× 699 1.5× 170 0.4× 449 1.2× 300 1.5× 12 1.8k
Adam Sheka United States 12 898 1.0× 315 0.7× 151 0.4× 326 0.8× 344 1.7× 21 1.3k
M Rosselli Argentina 10 790 0.9× 260 0.6× 148 0.4× 419 1.1× 92 0.5× 10 1.0k
Emilia Ip Australia 7 668 0.8× 386 0.8× 134 0.3× 243 0.6× 132 0.7× 14 958

Countries citing papers authored by Matthias Schlensak

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Schlensak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Schlensak

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

All Works

17 of 17 papers shown
1.
Kahl, S., Klaus Straßburger, Giovanni Pacini, et al.. (2024). Dysglycemia and liver lipid content determine the relationship of insulin resistance with hepatic OXPHOS capacity in obesity. Journal of Hepatology. 82(3). 417–426. 6 indexed citations
2.
Gancheva, Sofiya, Markus Jähnert, Lucia Mastrototaro, et al.. (2024). Different effects of bariatric surgery on epigenetic plasticity in skeletal muscle of individuals with and without type 2 diabetes. Diabetes & Metabolism. 50(5). 101561–101561. 2 indexed citations
3.
Gancheva, Sofiya, S. Kahl, Christian Herder, et al.. (2023). Metabolic surgery-induced changes of the growth hormone system relate to improved adipose tissue function. International Journal of Obesity. 47(6). 505–511. 5 indexed citations
4.
Pafili, Kalliopi, S. Kahl, Lucia Mastrototaro, et al.. (2022). Mitochondrial respiration is decreased in visceral but not subcutaneous adipose tissue in obese individuals with fatty liver disease. Journal of Hepatology. 77(6). 1504–1514. 31 indexed citations
5.
Gancheva, Sofiya, S. Kahl, Dominik Pesta, et al.. (2022). Impaired Hepatic Mitochondrial Capacity in Nonalcoholic Steatohepatitis Associated With Type 2 Diabetes. Diabetes Care. 45(4). 928–937. 33 indexed citations
6.
Pafili, Kalliopi, S. Kahl, Dominik Pesta, et al.. (2021). 1212-P: Adipose Tissue Mitochondrial Function in Humans with Varying Liver Histology. Diabetes. 70(Supplement_1). 1 indexed citations
7.
Apostolopoulou, Maria, Ruth Gordillo, Sofiya Gancheva, et al.. (2020). Role of ceramide-to-dihydroceramide ratios for insulin resistance and non-alcoholic fatty liver disease in humans. BMJ Open Diabetes Research & Care. 8(2). e001860–e001860. 24 indexed citations
8.
Gancheva, Sofiya, Meriem Ouni, Tomáš Jeleník, et al.. (2019). Dynamic changes of muscle insulin sensitivity after metabolic surgery. Nature Communications. 10(1). 4179–4179. 54 indexed citations
9.
Apostolopoulou, Maria, Ruth Gordillo, Chrysi Koliaki, et al.. (2018). Specific Hepatic Sphingolipids Relate to Insulin Resistance, Oxidative Stress, and Inflammation in Nonalcoholic Steatohepatitis. Diabetes Care. 41(6). 1235–1243. 211 indexed citations
10.
Laubner, Katharina, Anne Lautenbach, Gerhard Schön, et al.. (2018). Trends in BMI, Glycemic Control and Obesity-Associated Comorbidities After Explantation of the Duodenal-Jejunal Bypass Liner (DJBL). Obesity Surgery. 28(8). 2187–2196. 7 indexed citations
11.
Laubner, Katharina, Anne Lautenbach, Gerhard Schön, et al.. (2018). Longitudinal evaluation of efficacy, safety and nutritional status during one-year treatment with the duodenal-jejunal bypass liner. Surgery for Obesity and Related Diseases. 14(6). 769–779. 9 indexed citations
12.
Laubner, Katharina, Katharina Fink, Reinhard W. Holl, et al.. (2018). Comparative efficacy and safety of the duodenal‐jejunal bypass liner in obese patients with type 2 diabetes mellitus: A case control study. Diabetes Obesity and Metabolism. 20(8). 1868–1877. 19 indexed citations
13.
Koliaki, Chrysi, Julia Szendroedi, Kirti Kaul, et al.. (2015). Adaptation of Hepatic Mitochondrial Function in Humans with Non-Alcoholic Fatty Liver Is Lost in Steatohepatitis. Cell Metabolism. 21(5). 739–746. 752 indexed citations breakdown →
14.
Koliaki, Chrysi, Julia Szendroedi, Tomáš Jeleník, et al.. (2015). P0981 : Adaptation of hepatic mitochondrial function in obese humans with or without non-alcoholic steatohepatitis. Journal of Hepatology. 62. S714–S714. 1 indexed citations
15.
Schlensak, Matthias & Ali Canbay. (2010). NASH: Eine unterschätzte metabolische Komplikation der morbiden Adipositas. Zeitschrift für Gastroenterologie. 48(8). 1 indexed citations
16.
Kahraman, Alişan, Martin Schlattjan, Peri Kocabayoglu, et al.. (2009). Major Histocompatibility Complex Class I–Related Chains A and B (Mic A/B): A Novel Role in Nonalcoholic Steatohepatitis. Hepatology. 51(1). 92–102. 102 indexed citations
17.
Peitgen, K., et al.. (1997). [Experiences with a vent button system in endoscopic and surgical gastrostomy].. PubMed. 122(5). 344–8. 2 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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