Stephan Siebel

439 total citations
9 papers, 315 citations indexed

About

Stephan Siebel is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Stephan Siebel has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Stephan Siebel's work include Metabolism, Diabetes, and Cancer (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Lysosomal Storage Disorders Research (2 papers). Stephan Siebel is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Lysosomal Storage Disorders Research (2 papers). Stephan Siebel collaborates with scholars based in United States, Australia and Italy. Stephan Siebel's co-authors include Cynthia L. Toth, Stephanie M. Cologna, Céline Cluzeau, Christopher A. Wassif, Michelle K. Dail, Forbes D. Porter, Nicole M. Yanjanin, Nicola Santoro, Joerg Graf and Benjamin D. Solomon and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Cell Metabolism.

In The Last Decade

Stephan Siebel

9 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Siebel United States 6 175 139 88 67 35 9 315
Roberta Taurisano Italy 14 257 1.5× 174 1.3× 72 0.8× 70 1.0× 34 1.0× 28 501
Donna L. Bernstein United States 4 214 1.2× 76 0.5× 63 0.7× 73 1.1× 25 0.7× 6 318
Caroline Gluck United States 8 148 0.8× 199 1.4× 61 0.7× 34 0.5× 25 0.7× 16 476
François Labarthe France 11 185 1.1× 188 1.4× 60 0.7× 20 0.3× 15 0.4× 28 412
Jun Ye China 15 127 0.7× 312 2.2× 55 0.6× 45 0.7× 78 2.2× 50 590
Roshni Vara United Kingdom 13 115 0.7× 157 1.1× 35 0.4× 96 1.4× 18 0.5× 34 462
Toju Tanaka Japan 10 274 1.6× 101 0.7× 121 1.4× 28 0.4× 9 0.3× 16 417
Gaetano Sabetta Italy 10 125 0.7× 340 2.4× 75 0.9× 36 0.5× 28 0.8× 11 631
Drago Bratkovic Australia 14 157 0.9× 200 1.4× 46 0.5× 24 0.4× 7 0.2× 48 419
Corinna Schoelch Germany 11 73 0.4× 124 0.9× 70 0.8× 52 0.8× 36 1.0× 20 345

Countries citing papers authored by Stephan Siebel

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Siebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Siebel

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

All Works

9 of 9 papers shown
1.
Siebel, Stephan, et al.. (2025). Elevation of hepatic de novo lipogenesis in mice with overnutrition is dependent on multiple substrates. Journal of Lipid Research. 66(7). 100838–100838. 1 indexed citations
2.
Gunasekharan, Vignesh, Michał Marczyk, Alejandro Ríos-Hoyo, et al.. (2024). Phosphoenolpyruvate carboxykinase-2 (PCK2) is a therapeutic target in triple-negative breast cancer. Breast Cancer Research and Treatment. 208(3). 657–671. 2 indexed citations
3.
Leitner, Brooks P., Stephan Siebel, Ngozi D. Akingbesote, Xinyi Zhang, & Rachel J. Perry. (2022). Insulin and cancer: a tangled web. Biochemical Journal. 479(5). 583–607. 41 indexed citations
4.
Abulizi, Abudukadier, Rebecca Cardone, Romana Stark, et al.. (2020). Multi-Tissue Acceleration of the Mitochondrial Phosphoenolpyruvate Cycle Improves Whole-Body Metabolic Health. Cell Metabolism. 32(5). 751–766.e11. 55 indexed citations
5.
Graf, Joerg, et al.. (2020). Effect of Gut Microbiota and PNPLA3 rs738409 Variant on Nonalcoholic Fatty Liver Disease (NAFLD) in Obese Youth. The Journal of Clinical Endocrinology & Metabolism. 105(10). e3575–e3585. 71 indexed citations
6.
Siebel, Stephan, et al.. (2019). Reversal of Ketosis in Type 1 Diabetes Is Not Adversely Affected by SGLT2 Inhibitor Therapy. Diabetes Technology & Therapeutics. 21(3). 101–104. 4 indexed citations
7.
Siebel, Stephan & Benjamin D. Solomon. (2013). Mitochondrial Factors and VACTERL Association-Related Congenital Malformations. Molecular Syndromology. 4(1-2). 63–73. 17 indexed citations
8.
Cologna, Stephanie M., Céline Cluzeau, Nicole M. Yanjanin, et al.. (2013). Human and mouse neuroinflammation markers in Niemann‐Pick disease, type C1. Journal of Inherited Metabolic Disease. 37(1). 83–92. 70 indexed citations
9.
Cologna, Stephanie M., Peter S. Backlund, Céline Cluzeau, et al.. (2012). Quantitative Proteomic Analysis of Niemann-Pick Disease, Type C1 Cerebellum Identifies Protein Biomarkers and Provides Pathological Insight. PLoS ONE. 7(10). e47845–e47845. 54 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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