Susanne Neschen

5.4k total citations
52 papers, 3.5k citations indexed

About

Susanne Neschen is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Susanne Neschen has authored 52 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 31 papers in Physiology and 17 papers in Epidemiology. Recurrent topics in Susanne Neschen's work include Adipose Tissue and Metabolism (22 papers), Peroxisome Proliferator-Activated Receptors (14 papers) and Metabolism, Diabetes, and Cancer (13 papers). Susanne Neschen is often cited by papers focused on Adipose Tissue and Metabolism (22 papers), Peroxisome Proliferator-Activated Receptors (14 papers) and Metabolism, Diabetes, and Cancer (13 papers). Susanne Neschen collaborates with scholars based in Germany, United States and Austria. Susanne Neschen's co-authors include Gerald I. Shulman, Katsutaro Morino, Gary W. Cline, Martin Hrabě de Angelis, Rebecca L. Pongratz, Anthony J. Romanelli, Qian Gao, Tamás L. Horváth, Xin-Yuan Fu and Michael J. Wolfgang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Susanne Neschen

52 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
Susanne Neschen Germany 29 1.6k 1.4k 1.1k 680 616 52 3.5k
Chunli Yu United States 26 2.1k 1.3× 2.3k 1.6× 1.4k 1.3× 714 1.1× 521 0.8× 62 4.6k
Moritake Higa Japan 19 1.1k 0.7× 1.2k 0.9× 735 0.7× 606 0.9× 704 1.1× 37 3.0k
Ludger Scheja Germany 30 1.7k 1.1× 2.2k 1.6× 1.7k 1.6× 619 0.9× 656 1.1× 61 4.5k
Cristina M. Rondinone United States 37 2.7k 1.7× 1.5k 1.1× 925 0.9× 997 1.5× 796 1.3× 74 4.8k
Dolors Serra Spain 37 2.3k 1.5× 1.8k 1.3× 957 0.9× 382 0.6× 456 0.7× 114 4.7k
Frédéric Preitner Switzerland 24 1.9k 1.2× 1.5k 1.1× 1.1k 1.1× 651 1.0× 731 1.2× 33 4.0k
Derek M. Erion United States 27 2.4k 1.5× 1.9k 1.3× 1.6k 1.5× 1.3k 1.9× 989 1.6× 40 5.2k
Tong Lü United States 35 1.5k 1.0× 1.4k 1.0× 970 0.9× 554 0.8× 248 0.4× 91 4.0k
Gema Medina‐Gómez Spain 34 1.9k 1.2× 1.5k 1.1× 919 0.9× 508 0.7× 423 0.7× 78 3.8k
Hans Törnqvist Sweden 34 1.9k 1.2× 1.7k 1.3× 927 0.9× 907 1.3× 893 1.4× 62 4.6k

Countries citing papers authored by Susanne Neschen

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Neschen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Neschen

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Neschen. A scholar is included among the top collaborators of Susanne Neschen 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 Susanne Neschen. Susanne Neschen 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.
Huang, Jialing, Cornelia Huth, Marcela Covic, et al.. (2020). Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes. Diabetes. 69(12). 2756–2765. 39 indexed citations
2.
Ferreira, Maria Carolina, Cole Anderson, Susanne Neschen, et al.. (2020). Irp2 regulates insulin production through iron-mediated Cdkal1-catalyzed tRNA modification. Nature Communications. 11(1). 296–296. 62 indexed citations
3.
Kahl, S., Anett Seelig, Paul Begovatz, et al.. (2017). Acute dietary fat intake initiates alterations in energy metabolism and insulin resistance. Journal of Clinical Investigation. 127(2). 695–708. 152 indexed citations
4.
Aichler, Michaela, Jan Krumsiek, Achim Buck, et al.. (2017). N-acyl Taurines and Acylcarnitines Cause an Imbalance in Insulin Synthesis and Secretion Provoking β Cell Dysfunction in Type 2 Diabetes. Cell Metabolism. 25(6). 1334–1347.e4. 83 indexed citations
5.
Frankó, András, Susanne Neschen, Jan Rozman, et al.. (2017). Bezafibrate ameliorates diabetes via reduced steatosis and improved hepatic insulin sensitivity in diabetic TallyHo mice. Molecular Metabolism. 6(3). 256–266. 26 indexed citations
6.
Schäfer, Alexander, Susanne Neschen, Melanie Kahle, et al.. (2015). The Epoxyeicosatrienoic Acid Pathway Enhances Hepatic Insulin Signaling and is Repressed in Insulin-Resistant Mouse Liver*. Molecular & Cellular Proteomics. 14(10). 2764–2774. 15 indexed citations
7.
Brina, Daniela, Annarita Miluzio, Sara Ricciardi, et al.. (2015). eIF6 coordinates insulin sensitivity and lipid metabolism by coupling translation to transcription. Nature Communications. 6(1). 8261–8261. 73 indexed citations
8.
Kahle, Melanie, Alexander Schäfer, Anett Seelig, et al.. (2014). High fat diet-induced modifications in membrane lipid and mitochondrial-membrane protein signatures precede the development of hepatic insulin resistance in mice. Molecular Metabolism. 4(1). 39–50. 38 indexed citations
9.
Gröger, Thomas, José M. Arteaga-Salas, Stefan Brandmaier, et al.. (2014). Combining metabolomic non-targeted GC×GC–ToF–MS analysis and chemometric ASCA-based study of variances to assess dietary influence on type 2 diabetes development in a mouse model. Analytical and Bioanalytical Chemistry. 407(1). 343–354. 10 indexed citations
10.
Kahle, Melanie, Marion Horsch, Anett Seelig, et al.. (2013). Phenotypic comparison of common mouse strains developing high-fat diet-induced hepatosteatosis. Molecular Metabolism. 2(4). 435–446. 52 indexed citations
11.
Toerne, Christine von, Melanie Kahle, Alexander Schäfer, et al.. (2013). Apoe, Mbl2, and Psp Plasma Protein Levels Correlate with Diabetic Phenotype in NZO Mice—An Optimized Rapid Workflow for SRM-Based Quantification. Journal of Proteome Research. 12(3). 1331–1343. 25 indexed citations
12.
Schaefer, Alexander, Melanie Kahle, Susanne Neschen, et al.. (2013). The impact of blood on liver metabolite profiling – a combined metabolomic and proteomic approach. Biomedical Chromatography. 28(2). 231–240. 19 indexed citations
13.
Kiefer, Florian W., Susanne Neschen, Angelika Neuhofer, et al.. (2011). Osteopontin deficiency protects against obesity-induced hepatic steatosis and attenuates glucose production in mice. Diabetologia. 54(8). 2132–2142. 83 indexed citations
14.
Kluth, Oliver, Stephan Scherneck, Daniel R. Kaiser, et al.. (2010). Dissociation of lipotoxicity and glucotoxicity in a mouse model of obesity associated diabetes: role of forkhead box O1 (FOXO1) in glucose-induced beta cell failure. Diabetologia. 54(3). 605–616. 73 indexed citations
15.
Zhang, Dongyan, Jennifer Christianson, Zhenxiang Liu, et al.. (2010). Resistance to High-Fat Diet-Induced Obesity and Insulin Resistance in Mice with Very Long-Chain Acyl-CoA Dehydrogenase Deficiency. Cell Metabolism. 11(5). 402–411. 74 indexed citations
16.
Choi, Cheol Soo, David B. Savage, Ameya Kulkarni, et al.. (2007). Suppression of Diacylglycerol Acyltransferase-2 (DGAT2), but Not DGAT1, with Antisense Oligonucleotides Reverses Diet-induced Hepatic Steatosis and Insulin Resistance. Journal of Biological Chemistry. 282(31). 22678–22688. 312 indexed citations
17.
Buhl, Esben Selmer, Susanne Neschen, Shin Yonemitsu, et al.. (2007). Increased hypothalamic-pituitary-adrenal axis activity and hepatic insulin resistance in low-birth-weight rats. American Journal of Physiology-Endocrinology and Metabolism. 293(5). E1451–E1458. 27 indexed citations
18.
Meyer, Christoph, Susanne Neschen, Robert Augustin, et al.. (2006). Ablation of the Cholesterol Transporter Adenosine Triphosphate-Binding Cassette Transporter G1 Reduces Adipose Cell Size and Protects against Diet-Induced Obesity. Endocrinology. 148(4). 1561–1573. 64 indexed citations
19.
Gao, Qian, Michael J. Wolfgang, Susanne Neschen, et al.. (2004). Disruption of neural signal transducer and activator of transcription 3 causes obesity, diabetes, infertility, and thermal dysregulation. Proceedings of the National Academy of Sciences. 101(13). 4661–4666. 325 indexed citations
20.
Fürnsinn, Clemens, Barbara Brunmair, M.E. Meyer, et al.. (1999). Chronic and acute effects of thiazolidinediones BM13.1258 and BM15.2054 on rat skeletal muscle glucose metabolism. British Journal of Pharmacology. 128(6). 1141–1148. 23 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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