Daniel F. Markgraf

3.9k total citations
46 papers, 1.7k citations indexed

About

Daniel F. Markgraf is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Daniel F. Markgraf has authored 46 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 16 papers in Molecular Biology and 15 papers in Epidemiology. Recurrent topics in Daniel F. Markgraf's work include Liver Disease Diagnosis and Treatment (11 papers), Adipose Tissue and Metabolism (10 papers) and Lipid metabolism and biosynthesis (7 papers). Daniel F. Markgraf is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Adipose Tissue and Metabolism (10 papers) and Lipid metabolism and biosynthesis (7 papers). Daniel F. Markgraf collaborates with scholars based in Germany, United States and Austria. Daniel F. Markgraf's co-authors include Christian Ungermann, Karolina Peplowska, Michael Roden, Clemens W. Ostrowicz, Gert Bange, Tomáš Jeleník, Christer S. Ejsing, Julia Szendroedi, Christian Herder and Karsten Müssig and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and American Journal of Clinical Nutrition.

In The Last Decade

Daniel F. Markgraf

45 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel F. Markgraf Germany 23 888 513 444 434 252 46 1.7k
Joost J. F. P. Luiken Netherlands 18 1.2k 1.3× 378 0.7× 545 1.2× 502 1.2× 102 0.4× 27 1.8k
Karin G. Stenkula Sweden 24 898 1.0× 337 0.7× 415 0.9× 562 1.3× 273 1.1× 72 1.7k
Peter F. Dubbelhuis Netherlands 12 1.0k 1.1× 341 0.7× 905 2.0× 476 1.1× 75 0.3× 15 1.8k
David Cheillan France 25 886 1.0× 387 0.8× 168 0.4× 489 1.1× 189 0.8× 79 1.9k
Éva Margittai Hungary 21 746 0.8× 576 1.1× 279 0.6× 147 0.3× 94 0.4× 35 1.4k
Manabu Ishiki Japan 21 1.0k 1.2× 249 0.5× 264 0.6× 333 0.8× 218 0.9× 36 1.6k
Y. Inaba Japan 20 635 0.7× 141 0.3× 259 0.6× 237 0.5× 150 0.6× 37 1.4k
Christian Schlein Germany 15 575 0.6× 177 0.3× 528 1.2× 1.0k 2.3× 117 0.5× 23 1.6k
Peter Cornelius United States 19 1.1k 1.2× 195 0.4× 512 1.2× 677 1.6× 201 0.8× 30 1.9k
Thierry Grémeaux France 25 1.8k 2.0× 344 0.7× 835 1.9× 1.1k 2.5× 368 1.5× 39 3.0k

Countries citing papers authored by Daniel F. Markgraf

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Markgraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Markgraf. 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 Daniel F. Markgraf. The network helps show where Daniel F. Markgraf may publish in the future.

Co-authorship network of co-authors of Daniel F. Markgraf

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Markgraf. A scholar is included among the top collaborators of Daniel F. Markgraf 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 Daniel F. Markgraf. Daniel F. Markgraf 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.
Bódis, Kálmán, Martin Schön, Birgit Knebel, et al.. (2023). Effects of TM6SF2 rs58542926 polymorphism on hepatocellular lipids and insulin resistance in early type 2 diabetes. Nutrition Metabolism and Cardiovascular Diseases. 33(9). 1785–1796. 3 indexed citations
2.
Bódis, Kálmán, Birgit Knebel, Bettina Nowotny, et al.. (2022). Hepatic energy metabolism in a family with a glucokinase gene mutation and dysglycemia. Diabetes Research and Clinical Practice. 185. 109779–109779. 1 indexed citations
3.
Apostolopoulou, Maria, Lucia Mastrototaro, Sonja Hartwig, et al.. (2021). Metabolic responsiveness to training depends on insulin sensitivity and protein content of exosomes in insulin-resistant males. Science Advances. 7(41). eabi9551–eabi9551. 30 indexed citations
4.
Karusheva, Yanislava, Klaus Straßburger, Daniel F. Markgraf, et al.. (2021). Branched-Chain Amino Acids Associate Negatively With Postprandial Insulin Secretion in Recent-Onset Diabetes. Journal of the Endocrine Society. 5(6). bvab067–bvab067. 15 indexed citations
5.
Pesta, Dominik, Tomáš Jeleník, Oana‐Patricia Zaharia, et al.. (2021). NDUFB6 Polymorphism Is Associated With Physical Activity-Mediated Metabolic Changes in Type 2 Diabetes. Frontiers in Endocrinology. 12. 693683–693683. 5 indexed citations
6.
Sarabhai, Theresia, Chrysi Koliaki, Lucia Mastrototaro, et al.. (2021). Dietary palmitate and oleate differently modulate insulin sensitivity in human skeletal muscle. Diabetologia. 65(2). 301–314. 24 indexed citations
7.
Zaharia, Oana‐Patricia, Yuliya Kupriyanova, Yanislava Karusheva, et al.. (2021). Improving insulin sensitivity, liver steatosis and fibrosis in type 2 diabetes by a food-based digital education-assisted lifestyle intervention program: a feasibility study. European Journal of Nutrition. 60(7). 3811–3818. 5 indexed citations
8.
Sarabhai, Theresia, S. Kahl, Julia Szendroedi, et al.. (2020). Monounsaturated fat rapidly induces hepatic gluconeogenesis and whole-body insulin resistance. JCI Insight. 5(10). 23 indexed citations
9.
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
10.
Karusheva, Yanislava, Klaus Straßburger, Daniel F. Markgraf, et al.. (2019). Short-term dietary reduction of branched-chain amino acids reduces meal-induced insulin secretion and modifies microbiome composition in type 2 diabetes: a randomized controlled crossover trial. American Journal of Clinical Nutrition. 110(5). 1098–1107. 135 indexed citations
11.
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
12.
Burkart, Volker, Klaus Straßburger, Daniel F. Markgraf, et al.. (2018). Inverse association of insulin antibody levels with insulin sensitivity in adults with Type 1 diabetes. Diabetic Medicine. 35(5). 595–601. 10 indexed citations
13.
Remer, Thomas, Christian Herder, Hermann Kalhoff, et al.. (2018). Habitual Flavonoid Intake from Fruit and Vegetables during Adolescence and Serum Lipid Levels in Early Adulthood: A Prospective Analysis. Nutrients. 10(4). 488–488. 14 indexed citations
14.
Apostolopoulou, Maria, Bettina Nowotny, Daniel F. Markgraf, et al.. (2018). Characterization of circulating leukocytes and correlation of leukocyte subsets with metabolic parameters 1 and 5 years after diabetes diagnosis. Acta Diabetologica. 55(7). 723–731. 10 indexed citations
15.
Weber, Katharina S., Klaus Straßburger, Maria Fritsch, et al.. (2018). Meal-derived glucagon responses are related to lower hepatic phosphate concentrations in obesity and type 2 diabetes. Diabetes & Metabolism. 44(5). 444–448. 2 indexed citations
16.
Karusheva, Yanislava, Marie‐Christine Simon, Daniel F. Markgraf, et al.. (2018). Effect of Reduced Intake of Branched-Chain Amino Acids (BCAA) on Insulin Secretion and Sensitivity in Type 2 Diabetes. Diabetes. 67(Supplement_1). 2 indexed citations
17.
Ziegler, Dan, Alexander Strom, Gidon J. Bönhof, et al.. (2017). Differential associations of lower cardiac vagal tone with insulin resistance and insulin secretion in recently diagnosed type 1 and type 2 diabetes. Metabolism. 79. 1–9. 19 indexed citations
18.
Nguyen, Tammy, Agnieszka Lewandowska, Jae‐Yeon Choi, et al.. (2012). Gem1 and ERMES Do Not Directly Affect Phosphatidylserine Transport from ER to Mitochondria or Mitochondrial Inheritance. Traffic. 13(6). 880–890. 134 indexed citations
19.
Bilgin, Mesut, Daniel F. Markgraf, Eva Duchoslav, et al.. (2011). Quantitative profiling of PE, MMPE, DMPE, and PC lipid species by multiple precursor ion scanning: A tool for monitoring PE metabolism. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1811(12). 1081–1089. 28 indexed citations
20.
Markgraf, Daniel F., Henning Arlt, Muriel Mari, et al.. (2009). The CORVET Subunit Vps8 Cooperates with the Rab5 Homolog Vps21 to Induce Clustering of Late Endosomal Compartments. Molecular Biology of the Cell. 20(24). 5276–5289. 81 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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