Daniel Tews

1.7k total citations · 1 hit paper
42 papers, 1.1k citations indexed

About

Daniel Tews is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Daniel Tews has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Physiology and 13 papers in Epidemiology. Recurrent topics in Daniel Tews's work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Cardiovascular Disease and Adiposity (6 papers). Daniel Tews is often cited by papers focused on Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Cardiovascular Disease and Adiposity (6 papers). Daniel Tews collaborates with scholars based in Germany, United States and Italy. Daniel Tews's co-authors include Martin Wabitsch, Pamela Fischer‐Posovszky, Klaus‐Michael Debatin, Liliya V. Mihaylova, Martina S. Savova, Milen I. Georgiev, Thomas Unterkircher, Simone Fulda, Jürgen Eckel and Jan‐Bernd Funcke and has published in prestigious journals such as American Journal of Clinical Nutrition, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Daniel Tews

36 papers receiving 1.1k citations

Hit Papers

Targeting PI3K/AKT signaling pathway in obesity 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Tews Germany 20 501 472 309 187 118 42 1.1k
Hui‐Chen Ku Taiwan 11 311 0.6× 454 1.0× 283 0.9× 139 0.7× 99 0.8× 20 1.0k
Heekyung Chung United States 18 623 1.2× 525 1.1× 499 1.6× 250 1.3× 108 0.9× 28 1.6k
Zaiqing Yang China 22 377 0.8× 429 0.9× 500 1.6× 180 1.0× 95 0.8× 56 1.2k
Laia Salvadó Spain 12 360 0.7× 521 1.1× 304 1.0× 72 0.4× 129 1.1× 13 1.1k
María Calderón‐Domínguez Spain 18 443 0.9× 346 0.7× 271 0.9× 144 0.8× 61 0.5× 30 976
Yun-Hee Lee South Korea 16 454 0.9× 391 0.8× 397 1.3× 115 0.6× 58 0.5× 21 1.1k
Wei-Wen Kuo Taiwan 22 219 0.4× 506 1.1× 173 0.6× 114 0.6× 117 1.0× 47 1.1k
Huei‐Fen Jheng Japan 14 481 1.0× 607 1.3× 220 0.7× 58 0.3× 86 0.7× 24 997
Meghan Kelly United States 19 593 1.2× 761 1.6× 352 1.1× 114 0.6× 260 2.2× 38 1.7k
Mira Ham South Korea 11 557 1.1× 533 1.1× 578 1.9× 115 0.6× 152 1.3× 14 1.5k

Countries citing papers authored by Daniel Tews

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Tews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Tews

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Tews. A scholar is included among the top collaborators of Daniel Tews 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 Tews. Daniel Tews 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.
Li, Shuangyue, Fatemeh Behjati Ardakani, Zhaolong Li, et al.. (2026). Cell type-specific epigenetic regulatory circuitry of coronary artery disease loci. Zenodo (CERN European Organization for Nuclear Research).
2.
Seitz, Angelika, et al.. (2025). Pioglitazone modulates metabolic adaptation and peripheral nerve regeneration after injury. Molecular Neurodegeneration. 20(1). 123–123.
3.
Enzenmüller, Stefanie, Felix Seyfried, Daniel Tews, et al.. (2024). Venetoclax resistance in acute lymphoblastic leukemia is characterized by increased mitochondrial activity and can be overcome by co-targeting oxidative phosphorylation. Cell Death and Disease. 15(7). 475–475. 3 indexed citations
4.
Wabitsch, Martin, et al.. (2023). Effects of allicin on human Simpson-Golabi-Behmel syndrome cells in mediating browning phenotype. Frontiers in Endocrinology. 14. 1141303–1141303. 5 indexed citations
5.
Zohora, Fatema Tuj, et al.. (2023). The survivin-ran inhibitor LLP-3 decreases oxidative phosphorylation, glycolysis and growth of neuroblastoma cells. BMC Cancer. 23(1). 1148–1148. 1 indexed citations
6.
Colitti, Monica, et al.. (2022). Transcriptomic analysis of Simpson Golabi Behmel syndrome cells during differentiation exhibit BAT-like function. Tissue and Cell. 77. 101822–101822. 5 indexed citations
7.
Tews, Daniel, Ansgar Schulz, Christian Denzer, et al.. (2021). Lipodystrophy as a Late Effect after Stem Cell Transplantation. Journal of Clinical Medicine. 10(8). 1559–1559. 7 indexed citations
8.
Hartmann, Markus A., Sofia‐Iris Bibli, Daniel Tews, et al.. (2021). Combined Cardioprotective and Adipocyte Browning Effects Promoted by the Eutomer of Dual sEH/PPARγ Modulator. Journal of Medicinal Chemistry. 64(5). 2815–2828. 11 indexed citations
9.
Roos, Julian, Jan‐Bernd Funcke, Heike Neubauer, et al.. (2021). Latent TGFβ-binding proteins regulate UCP1 expression and function via TGFβ2. Molecular Metabolism. 53. 101336–101336. 12 indexed citations
10.
Tews, Daniel & Martin Wabitsch. (2021). Brown Adipose Tissue in Children and Its Metabolic Function. Hormone Research in Paediatrics. 95(2). 104–111. 12 indexed citations
11.
Wolff, Gretchen, Jonas Weinmann, Tjeerd Sijmonsma, et al.. (2018). Diet-dependent function of the extracellular matrix proteoglycan Lumican in obesity and glucose homeostasis. Molecular Metabolism. 19. 97–106. 32 indexed citations
12.
Tews, Daniel, Tobias Fromme, Michaela Keuper, et al.. (2017). Teneurin-2 (TENM2) deficiency induces UCP1 expression in differentiating human fat cells. Molecular and Cellular Endocrinology. 443. 106–113. 17 indexed citations
13.
Giroud, Maude, Didier F. Pisani, Michael Karbiener, et al.. (2016). miR-125b affects mitochondrial biogenesis and impairs brite adipocyte formation and function. Molecular Metabolism. 5(8). 615–625. 52 indexed citations
14.
Roos, Julian, Jan‐Bernd Funcke, Daniel Tews, et al.. (2016). miR-146a-mediated suppression of the inflammatory response in human adipocytes. Scientific Reports. 6(1). 38339–38339. 89 indexed citations
15.
Guennoun, Andrea, Melissa Kazantzis, Martin Wabitsch, et al.. (2015). Comprehensive molecular characterization of human adipocytes reveals a transient brown phenotype. Journal of Translational Medicine. 13(1). 135–135. 31 indexed citations
16.
Fischer‐Posovszky, Pamela, Markus Rojewski, Daniel Tews, et al.. (2013). Absence of CC chemokine receptors 2a and 2b from human adipose lineage cells. Molecular and Cellular Endocrinology. 369(1-2). 72–85. 1 indexed citations
17.
Fischer‐Posovszky, Pamela, et al.. (2012). Differential function of Akt1 and Akt2 in human adipocytes. Molecular and Cellular Endocrinology. 358(1). 135–143. 51 indexed citations
18.
Tews, Daniel & Martin Wabitsch. (2011). Renaissance of Brown Adipose Tissue. Hormone Research in Paediatrics. 75(4). 231–239. 39 indexed citations
19.
Tews, Daniel, Pamela Fischer‐Posovszky, & Martin Wabitsch. (2010). Regulation ofFTOandFTMExpression During Human Preadipocyte Differentiation. Hormone and Metabolic Research. 43(1). 17–21. 29 indexed citations
20.
Tews, Daniel, Pamela Fischer‐Posovszky, & Martin Wabitsch. (2009). FTO – Friend or Foe?. Hormone and Metabolic Research. 42(2). 75–80. 10 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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