Christian Wolfrum

17.1k total citations · 6 hit papers
198 papers, 10.9k citations indexed

About

Christian Wolfrum is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Christian Wolfrum has authored 198 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Physiology, 84 papers in Molecular Biology and 61 papers in Epidemiology. Recurrent topics in Christian Wolfrum's work include Adipose Tissue and Metabolism (102 papers), Adipokines, Inflammation, and Metabolic Diseases (55 papers) and Peroxisome Proliferator-Activated Receptors (19 papers). Christian Wolfrum is often cited by papers focused on Adipose Tissue and Metabolism (102 papers), Adipokines, Inflammation, and Metabolic Diseases (55 papers) and Peroxisome Proliferator-Activated Receptors (19 papers). Christian Wolfrum collaborates with scholars based in Switzerland, Germany and United States. Christian Wolfrum's co-authors include Markus Stoffel, Friedrich Spener, Torsten Börchers, Aliki Perdikari, Thomas Rülicke, Gerald Grandl, Wenfei Sun, C. Ronald Kahn, Miroslav Baláž and Jonathon N. Winnay and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Christian Wolfrum

185 papers receiving 10.7k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Adipose-derived circulating miRNAs regulate gene expression in other tissues

2017 1.1k citations Christian Wolfrum, C. Ronald Kahn et al. profile →
Mechanisms and optimization of in vivo delivery of lipophilic siRNAs

2007 771 citations Christian Wolfrum, Markus Stoffel et al. profile →
Bi-directional interconversion of brite and white adipocytes

2013 617 citations Aliki Perdikari, Christian Wolfrum et al. profile →
A stromal cell population that inhibits adipogenesis in mammalian fat depots

2018 330 citations Petra Schwalie, Hua Dong et al. profile →
snRNA-seq reveals a subpopulation of adipocytes that regulates thermogenesis

2020 232 citations Wenfei Sun, Hua Dong et al. profile →
Adipose tissue retains an epigenetic memory of obesity after weight loss

2024 68 citations Adhideb Ghosh, Hua Dong et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christian Wolfrum Switzerland	50	5.2k	4.5k	2.8k	1.5k	1.3k	198	10.9k
Jöerg Heeren Germany	54	3.6k 0.7×	4.7k 1.0×	3.3k 1.2×	1.2k 0.8×	1.6k 1.2×	169	10.6k
Paul Cohen United States	48	3.8k 0.7×	7.2k 1.6×	4.4k 1.6×	1.2k 0.8×	1.4k 1.1×	83	12.7k
Mikael Rydén Sweden	63	4.7k 0.9×	6.8k 1.5×	4.4k 1.6×	1.2k 0.8×	1.9k 1.4×	204	13.8k
Ping Li China	51	6.3k 1.2×	2.9k 0.6×	2.3k 0.8×	1.9k 1.3×	1.1k 0.8×	266	11.4k
Stephan Herzig Germany	46	4.2k 0.8×	3.3k 0.7×	1.8k 0.7×	988 0.7×	1.1k 0.8×	149	9.0k
In‐Kyu Lee South Korea	61	5.3k 1.0×	2.6k 0.6×	1.9k 0.7×	1.2k 0.8×	1.8k 1.3×	287	13.0k
Riekelt H. Houtkooper Netherlands	60	9.1k 1.7×	4.7k 1.0×	2.8k 1.0×	1.3k 0.9×	694 0.5×	193	16.9k
Francesc Villarroya Spain	64	6.2k 1.2×	8.2k 1.8×	4.6k 1.7×	884 0.6×	1.1k 0.8×	308	15.3k
Christopher G. Sobey Australia	64	4.7k 0.9×	3.7k 0.8×	1.7k 0.6×	690 0.5×	1.1k 0.8×	232	15.3k
William S. Blaner United States	72	8.8k 1.7×	2.2k 0.5×	2.2k 0.8×	919 0.6×	1.7k 1.2×	256	15.2k

Countries citing papers authored by Christian Wolfrum

Since Specialization

Citations

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

Fields of papers citing papers by Christian Wolfrum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Wolfrum

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

All Works

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20 of 20 papers shown

1.

Gilani, Ankit, Benjamin D. Stein, Anne Hoffmann, et al.. (2025). Secretory kinase FAM20C triggers adipocyte dysfunction, inciting insulin resistance and inflammation in obesity. Journal of Clinical Investigation. 136(1).

2.

Krumpolec, Patrik, Zuzana Kovaničová, Tímea Kurdiová, et al.. (2025). Downregulation of microRNA‐494 drives mitochondrial biogenesis and function in trained muscle. Experimental Physiology. 111(3). 1093–1108.

3.

Wolfrum, Christian, et al.. (2024). A safety guide for transgenic Cre drivers in metabolism. Nature Metabolism. 6(9). 1649–1652. 1 indexed citations

4.

Jähnert, Markus, Wenke Jonas, Anne Hoffmann, et al.. (2024). Picalm, a novel regulator of GLUT4-trafficking in adipose tissue. Molecular Metabolism. 88. 102014–102014. 3 indexed citations

5.

Slabber, C., Tobias Speicher, Susagna Padrissa‐Altés, et al.. (2023). The ubiquitin ligase Uhrf2 is a master regulator of cholesterol biosynthesis and is essential for liver regeneration. Science Signaling. 16(787). eade8029–eade8029. 5 indexed citations

6.

Wolfrum, Susanne, et al.. (2023). Enantioselective Total Syntheses of Cassane Furanoditerpenoids and Their Stimulation of Cellular Respiration in Brown Adipocytes. Journal of the American Chemical Society. 145(39). 21562–21568. 5 indexed citations

7.

Horváth, Carla, Pascal Timshel, Tora Henriksen, et al.. (2023). Adipogenic and SWAT cells separate from a common progenitor in human brown and white adipose depots. Nature Metabolism. 5(6). 996–1013. 31 indexed citations

8.

Efthymiou, Vissarion, Lianggong Ding, Miroslav Baláž, et al.. (2023). Inhibition of AXL receptor tyrosine kinase enhances brown adipose tissue functionality in mice. Nature Communications. 14(1). 4162–4162. 9 indexed citations

9.

Dong, Hua, Wenfei Sun, Yang Shen, et al.. (2022). Identification of a regulatory pathway inhibiting adipogenesis via RSPO2. Nature Metabolism. 4(1). 90–105. 47 indexed citations

10.

Kovaničová, Zuzana, Miloslav Karhánek, Tímea Kurdiová, et al.. (2021). Metabolomic Analysis Reveals Changes in Plasma Metabolites in Response to Acute Cold Stress and Their Relationships to Metabolic Health in Cold-Acclimatized Humans. Metabolites. 11(9). 619–619. 11 indexed citations

11.

Sun, Wenfei, Salvatore Modica, Hua Dong, & Christian Wolfrum. (2021). Plasticity and heterogeneity of thermogenic adipose tissue. Nature Metabolism. 3(6). 751–761. 32 indexed citations

12.

Kovaničová, Zuzana, Tímea Kurdiová, Miroslav Baláž, et al.. (2020). Cold Exposure Distinctively Modulates Parathyroid and Thyroid Hormones in Cold-Acclimatized and Non-Acclimatized Humans. Endocrinology. 161(7). 21 indexed citations

13.

Voert, Edwin E. G. W. ter, Julian Müller, Anton S. Becker, et al.. (2020). Low-dose 18F-FDG TOF-PET/MR for accurate quantification of brown adipose tissue in healthy volunteers. EJNMMI Research. 10(1). 5–5. 8 indexed citations

14.

Chen, Wanze, Petra Schwalie, Carine Gubelmann, et al.. (2019). ZFP30 promotes adipogenesis through the KAP1-mediated activation of a retrotransposon-derived Pparg2 enhancer. Nature Communications. 10(1). 1809–1809. 26 indexed citations

15.

Allard, Pierre‐Marie, Christian Wolfrum, Chang‐Qiang Ke, et al.. (2019). Identification of chemotypes in bitter melon by metabolomics: a plant with potential benefit for management of diabetes in traditional Chinese medicine. Metabolomics. 15(8). 104–104. 20 indexed citations

16.

Jong, Jasper M. A. de, Wenfei Sun, Nuno D. Pires, et al.. (2019). Human brown adipose tissue is phenocopied by classical brown adipose tissue in physiologically humanized mice. Nature Metabolism. 1(8). 830–843. 92 indexed citations

17.

Karaman, Sinem, Maija Hollmén, Marius R. Robciuc, et al.. (2014). Blockade of VEGF-C and VEGF-D modulates adipose tissue inflammation and improves metabolic parameters under high-fat diet. Molecular Metabolism. 4(2). 93–105. 88 indexed citations

18.

Wolfrum, Christian, et al.. (2003). Insulin regulates the activity of forkhead transcription factor Hnf-3β/Foxa-2 by Akt-mediated phosphorylation and nuclear/cytosolic localization. Proceedings of the National Academy of Sciences. 100(20). 11624–11629. 171 indexed citations

19.

Wolfrum, Christian, David Q. Shih, Satoru Kuwajima, et al.. (2003). Role of Foxa-2 in adipocyte metabolism and differentiation. Journal of Clinical Investigation. 112(3). 345–356. 4 indexed citations

20.

Wolfrum, Christian, David Q. Shih, Satoru Kuwajima, et al.. (2003). Role of Foxa-2 in adipocyte metabolism and differentiation. Journal of Clinical Investigation. 112(3). 345–356. 113 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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