Mügen Terzioglu

2.4k total citations
26 papers, 1.6k citations indexed

About

Mügen Terzioglu is a scholar working on Molecular Biology, Physiology and Organic Chemistry. According to data from OpenAlex, Mügen Terzioglu has authored 26 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Physiology and 4 papers in Organic Chemistry. Recurrent topics in Mügen Terzioglu's work include Mitochondrial Function and Pathology (15 papers), Lysosomal Storage Disorders Research (7 papers) and ATP Synthase and ATPases Research (6 papers). Mügen Terzioglu is often cited by papers focused on Mitochondrial Function and Pathology (15 papers), Lysosomal Storage Disorders Research (7 papers) and ATP Synthase and ATPases Research (6 papers). Mügen Terzioglu collaborates with scholars based in Finland, Sweden and United States. Mügen Terzioglu's co-authors include Nils‐Göran Larsson, Dagmar Galter, Aleksandra Trifunović, Staffan Cullheim, Barry J. Hoffer, Shunwei Zhu, Christoph P. Hofstetter, Eva Lindqvist, Mats I. Ekstrand and Sebastian Thams and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mügen Terzioglu

26 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mügen Terzioglu Finland 15 999 425 397 368 235 26 1.6k
Milena Pinto United States 20 1.3k 1.3× 275 0.6× 254 0.6× 283 0.8× 339 1.4× 32 1.8k
Dzhamilja Safiulina Estonia 15 1.2k 1.2× 394 0.9× 318 0.8× 393 1.1× 203 0.9× 17 1.8k
Michael Klinkenberg Germany 17 737 0.7× 333 0.8× 634 1.6× 313 0.9× 61 0.3× 19 1.4k
Yu-ichi Goto Japan 21 1.6k 1.6× 184 0.4× 147 0.4× 312 0.8× 576 2.5× 39 2.1k
C. Thong United States 18 615 0.6× 374 0.9× 419 1.1× 344 0.9× 42 0.2× 27 1.4k
Cristòfol Vives-Bauzá United States 19 1.5k 1.5× 369 0.9× 785 2.0× 410 1.1× 320 1.4× 36 2.5k
Heather Mortiboys United Kingdom 26 1.4k 1.4× 559 1.3× 1.2k 3.0× 671 1.8× 142 0.6× 48 2.7k
Pilar González‐Cabo Spain 20 728 0.7× 512 1.2× 157 0.4× 159 0.4× 68 0.3× 38 1.2k
Anh H. Pham United States 7 1.1k 1.1× 295 0.7× 310 0.8× 290 0.8× 153 0.7× 12 1.5k
Elena Ziviani Italy 22 1.3k 1.3× 400 0.9× 692 1.7× 409 1.1× 138 0.6× 32 2.0k

Countries citing papers authored by Mügen Terzioglu

Since Specialization
Citations

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

Fields of papers citing papers by Mügen Terzioglu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mügen Terzioglu

This figure shows the co-authorship network connecting the top 25 collaborators of Mügen Terzioglu. A scholar is included among the top collaborators of Mügen Terzioglu 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 Mügen Terzioglu. Mügen Terzioglu 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.
Rustin, Pierre, Howard T. Jacobs, Mügen Terzioglu, & Paule Bénit. (2025). Mitochondrial heat production: the elephant in the lab…. Trends in Biochemical Sciences. 50(7). 559–565. 2 indexed citations
2.
Jacobs, Howard T., Pierre Rustin, Paule Bénit, Dan Davidi, & Mügen Terzioglu. (2024). Mitochondria: great balls of fire. FEBS Journal. 291(24). 5327–5341. 4 indexed citations
3.
Kang, Yilin, Jussi Hepojoki, Takayuki Mito, et al.. (2024). Ancestral allele of DNA polymerase gamma modifies antiviral tolerance. Nature. 628(8009). 844–853. 11 indexed citations
4.
Terzioglu, Mügen, et al.. (2024). Species differences in glycerol-3-phosphate metabolism reveals trade-offs between metabolic adaptations and cell proliferation. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1866(2). 149530–149530. 1 indexed citations
5.
Terzioglu, Mügen, Teemu O. Ihalainen, Tiina S. Salminen, et al.. (2023). Mitochondrial temperature homeostasis resists external metabolic stresses. eLife. 12. 8 indexed citations
6.
Terzioglu, Mügen, et al.. (2020). Improving CRISPR/Cas9 mutagenesis efficiency by delaying the early development of zebrafish embryos. Scientific Reports. 10(1). 21023–21023. 5 indexed citations
7.
Konovalova, Svetlana, Xiaonan Liu, Yang Yang, et al.. (2018). Redox regulation of GRPEL2 nucleotide exchange factor for mitochondrial HSP70 chaperone. Redox Biology. 19. 37–45. 29 indexed citations
8.
Chilov, Dmitri, Christopher B. Jackson, Anders Paetau, et al.. (2017). Loss of mtDNA activates astrocytes and leads to spongiotic encephalopathy. Nature Communications. 9(1). 70–70. 42 indexed citations
9.
Terzioglu, Mügen, Benedetta Ruzzenente, Arnaud Mourier, et al.. (2013). MTERF1 Binds mtDNA to Prevent Transcriptional Interference at the Light-Strand Promoter but Is Dispensable for rRNA Gene Transcription Regulation. Cell Metabolism. 17(4). 618–626. 87 indexed citations
10.
Ruzzenente, Benedetta, et al.. (2013). The Leucine-rich Pentatricopeptide Repeat-containing Protein (LRPPRC) Does Not Activate Transcription in Mammalian Mitochondria. Journal of Biological Chemistry. 288(22). 15510–15519. 26 indexed citations
11.
Lee, Seungmin, Fredrik Sterky, Arnaud Mourier, et al.. (2012). Mitofusin 2 is necessary for striatal axonal projections of midbrain dopamine neurons. Human Molecular Genetics. 21(22). 4827–4835. 138 indexed citations
12.
Ross, Jaime M., Johanna Öberg, Stefan Brené, et al.. (2010). High brain lactate is a hallmark of aging and caused by a shift in the lactate dehydrogenase A/B ratio. Proceedings of the National Academy of Sciences. 107(46). 20087–20092. 227 indexed citations
13.
Dufour, Éric, Mügen Terzioglu, Fredrik Sterky, et al.. (2008). Age-associated mosaic respiratory chain deficiency causes trans-neuronal degeneration. Human Molecular Genetics. 17(10). 1418–1426. 35 indexed citations
14.
Terzioglu, Mügen & Dagmar Galter. (2008). Parkinson’s disease: genetic versus toxin‐induced rodent models. FEBS Journal. 275(7). 1384–1391. 117 indexed citations
15.
Ekstrand, Mats I., Mügen Terzioglu, Dagmar Galter, et al.. (2007). Progressive parkinsonism in mice with respiratory-chain-deficient dopamine neurons. Proceedings of the National Academy of Sciences. 104(4). 1325–1330. 467 indexed citations
16.
Terzioglu, Mügen & Nils‐Göran Larsson. (2007). Mitochondrial Dysfunction in Mammalian Ageing. Novartis Foundation symposium. 287. 197–213. 62 indexed citations
17.
Terzioglu, Mügen, Ayşegül Tokatlı, Turgay Coşkun, et al.. (2002). Sanfilippo syndrome in Turkey: Identification of novel mutations in subtypes A and B. Human Mutation. 19(2). 184–185. 21 indexed citations
18.
19.
Shieh, Jeng‐Jer, Mügen Terzioglu, Hisayuki Hiraiwa, et al.. (2002). The Molecular Basis of Glycogen Storage Disease Type 1a. Journal of Biological Chemistry. 277(7). 5047–5053. 54 indexed citations
20.
Topçu, Meral, et al.. (2000). Arylsulfatase A pseudodeficiency incidence in Turkey.. PubMed. 42(2). 115–7. 5 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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