Tenagne D. Challa

1.3k total citations
18 papers, 743 citations indexed

About

Tenagne D. Challa is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Tenagne D. Challa has authored 18 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Tenagne D. Challa's work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Tenagne D. Challa is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Tenagne D. Challa collaborates with scholars based in Switzerland, Germany and Israel. Tenagne D. Challa's co-authors include Christian Wolfrum, Gottfried Rudofsky, Stephan Wueest, Fabrizio C. Lucchini, Daniel Konrad, Efrat Monsonego‐Ornan, Yoach Rais, Myrtha Arnold, Nigel Beaton and Wolfgang Langhans and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Diabetes.

In The Last Decade

Tenagne D. Challa

18 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tenagne D. Challa Switzerland 15 293 278 276 127 87 18 743
Fareeba Sheedfar Netherlands 11 252 0.9× 262 0.9× 327 1.2× 110 0.9× 79 0.9× 14 700
Anja Böhm Germany 16 292 1.0× 350 1.3× 192 0.7× 174 1.4× 77 0.9× 31 763
Iria Nieto-Vázquez Spain 10 280 1.0× 288 1.0× 313 1.1× 121 1.0× 84 1.0× 11 747
Shohei Shinozaki Japan 19 324 1.1× 216 0.8× 222 0.8× 92 0.7× 123 1.4× 27 838
Sina Kavalakatt Kuwait 15 247 0.8× 253 0.9× 184 0.7× 148 1.2× 79 0.9× 27 763
Martín Alcalá Spain 15 183 0.6× 285 1.0× 207 0.8× 98 0.8× 55 0.6× 29 767
Leon G. Straub United States 13 316 1.1× 538 1.9× 336 1.2× 104 0.8× 81 0.9× 22 919
Anna Lee United States 8 378 1.3× 214 0.8× 172 0.6× 96 0.8× 82 0.9× 10 711
David J. Pedersen Australia 12 277 0.9× 379 1.4× 245 0.9× 116 0.9× 154 1.8× 14 794
Kyong Hye Joung South Korea 14 267 0.9× 293 1.1× 271 1.0× 212 1.7× 88 1.0× 45 901

Countries citing papers authored by Tenagne D. Challa

Since Specialization
Citations

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

Fields of papers citing papers by Tenagne D. Challa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tenagne D. Challa. 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 Tenagne D. Challa. The network helps show where Tenagne D. Challa may publish in the future.

Co-authorship network of co-authors of Tenagne D. Challa

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

All Works

18 of 18 papers shown
1.
Long, Fen, Tenagne D. Challa, Lianggong Ding, et al.. (2025). Glucagon controls obesity-specific energy expenditure via persistent cAMP/PKA signaling. Journal of Hepatology. 83(6). 1379–1391. 2 indexed citations
2.
Long, Fen, Wenfei Sun, Salvatore Modica, et al.. (2023). A low-carbohydrate diet induces hepatic insulin resistance and metabolic associated fatty liver disease in mice. Molecular Metabolism. 69. 101675–101675. 29 indexed citations
3.
Hoces, Daniel, Jiayi Lan, Wenfei Sun, et al.. (2022). Metabolic reconstitution of germ-free mice by a gnotobiotic microbiota varies over the circadian cycle. PLoS Biology. 20(9). e3001743–e3001743. 21 indexed citations
4.
Lucchini, Fabrizio C., Stephan Wueest, Tenagne D. Challa, et al.. (2020). ASK1 inhibits browning of white adipose tissue in obesity. Nature Communications. 11(1). 1642–1642. 36 indexed citations
5.
Challa, Tenagne D., Dianne H. Dapito, Elke Kiehlmann, et al.. (2020). A Genetic Model to Study the Contribution of Brown and Brite Adipocytes to Metabolism. Cell Reports. 30(10). 3424–3433.e4. 29 indexed citations
6.
Wueest, Stephan, Tenagne D. Challa, Fabrizio C. Lucchini, et al.. (2020). Obesity-Induced Increase in Cystatin C Alleviates Tissue Inflammation. Diabetes. 69(9). 1927–1935. 19 indexed citations
7.
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
8.
Straub, Leon G., Vissarion Efthymiou, Gerald Grandl, et al.. (2019). Antioxidants protect against diabetes by improving glucose homeostasis in mouse models of inducible insulin resistance and obesity. Diabetologia. 62(11). 2094–2105. 29 indexed citations
9.
Challa, Tenagne D., Stephan Wueest, Fabrizio C. Lucchini, et al.. (2019). Liver ASK1 protects from non‐alcoholic fatty liver disease and fibrosis. EMBO Molecular Medicine. 11(10). e10124–e10124. 69 indexed citations
10.
Item, Flurin, Stephan Wueest, Vera Lemos, et al.. (2017). Fas cell surface death receptor controls hepatic lipid metabolism by regulating mitochondrial function. Nature Communications. 8(1). 44 indexed citations
11.
Chiazza, Fausto, Tenagne D. Challa, Fabrizio C. Lucchini, Daniel Konrad, & Stephan Wueest. (2015). A short bout of HFD promotes long-lasting hepatic lipid accumulation. Adipocyte. 5(1). 88–92. 12 indexed citations
12.
Wueest, Stephan, Flurin Item, Fabrizio C. Lucchini, et al.. (2015). Mesenteric Fat Lipolysis Mediates Obesity-Associated Hepatic Steatosis and Insulin Resistance. Diabetes. 65(1). 140–148. 76 indexed citations
13.
Challa, Tenagne D., Leon G. Straub, Miroslav Baláž, et al.. (2015). Regulation of De Novo Adipocyte Differentiation Through Cross Talk Between Adipocytes and Preadipocytes. Diabetes. 64(12). 4075–4087. 39 indexed citations
14.
Gubelmann, Carine, Petra Schwalie, Sunil K. Raghav, et al.. (2014). Identification of the transcription factor ZEB1 as a central component of the adipogenic gene regulatory network. eLife. 3. e03346–e03346. 90 indexed citations
15.
Winkler, Julia K., Jobst‐Hendrik Schultz, Maik Brune, et al.. (2012). TaqIA polymorphism in dopamine D2 receptor gene complicates weight maintenance in younger obese patients. Nutrition. 28(10). 996–1001. 26 indexed citations
16.
Hatew, B., et al.. (2011). Antagonistic Intestinal Microflora Produces Antimicrobial Substance Inhibitory to Pseudomonas Species and Other Spoilage Organisms. Journal of Food Science. 76(8). M522–30. 5 indexed citations
17.
Challa, Tenagne D., Nigel Beaton, Myrtha Arnold, et al.. (2011). Regulation of Adipocyte Formation by GLP-1/GLP-1R Signaling. Journal of Biological Chemistry. 287(9). 6421–6430. 119 indexed citations
18.
Challa, Tenagne D., Yoach Rais, & Efrat Monsonego‐Ornan. (2010). Effect of adiponectin on ATDC5 proliferation, differentiation and signaling pathways. Molecular and Cellular Endocrinology. 323(2). 282–291. 72 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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