Mümine Şentürk

524 total citations
10 papers, 337 citations indexed

About

Mümine Şentürk is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Mümine Şentürk has authored 10 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Mümine Şentürk's work include Autophagy in Disease and Therapy (4 papers), Cellular transport and secretion (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Mümine Şentürk is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Cellular transport and secretion (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Mümine Şentürk collaborates with scholars based in United States, Germany and Türkiye. Mümine Şentürk's co-authors include Hugo J. Bellen, Zhongyuan Zuo, Dongxue Mao, Guang Lin, Antonios G. Mikos, Emma Watson, Shreyasi Chatterjee, Juan Botas, Yi‐Chen Hsieh and Hui Ye and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Blood.

In The Last Decade

Mümine Şentürk

10 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mümine Şentürk United States	8	156	117	101	84	77	10	337
Jinzhi Zhang China	5	146 0.9×	59 0.5×	146 1.4×	64 0.8×	47 0.6×	5	373
Rie Hikawa Japan	8	180 1.2×	65 0.6×	113 1.1×	156 1.9×	58 0.8×	11	393
Hortense de Calbiac France	4	95 0.6×	76 0.6×	120 1.2×	48 0.6×	36 0.5×	9	231
Kai Li Tan United States	8	223 1.4×	52 0.4×	90 0.9×	119 1.4×	69 0.9×	9	377
Anuradha Ratnaparkhi India	8	145 0.9×	30 0.3×	149 1.5×	74 0.9×	43 0.6×	16	318
Hongrui Meng China	6	212 1.4×	60 0.5×	183 1.8×	71 0.8×	80 1.0×	13	371
Safia Ladha Canada	6	260 1.7×	147 1.3×	74 0.7×	79 0.9×	73 0.9×	7	419
Emma R. Perri Australia	8	115 0.7×	51 0.4×	115 1.1×	142 1.7×	41 0.5×	9	288
Véronik Lachance Canada	7	263 1.7×	255 2.2×	67 0.7×	138 1.6×	84 1.1×	9	484
Taku Arano Japan	5	177 1.1×	138 1.2×	152 1.5×	74 0.9×	64 0.8×	5	314

Countries citing papers authored by Mümine Şentürk

Since Specialization

Citations

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

Fields of papers citing papers by Mümine Şentürk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mümine Şentürk

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

All Works

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10 of 10 papers shown

Şentürk, Mümine, et al.. (2024). Bacteria–organelle communication in physiology and disease. The Journal of Cell Biology. 223(7). 5 indexed citations

Savini, Marzia, Tao Chen, Jin Yang, et al.. (2023). Mitochondrial GTP metabolism controls reproductive aging in C. elegans. Developmental Cell. 58(23). 2718–2731.e7. 8 indexed citations

Cunningham, Kathleen M., Kai Ruan, Mümine Şentürk, et al.. (2020). TFEB/Mitf links impaired nuclear import to autophagolysosomal dysfunction in C9-ALS. eLife. 9. 58 indexed citations

Şentürk, Mümine, Guang Lin, Zhongyuan Zuo, et al.. (2019). Ubiquilins regulate autophagic flux through mTOR signalling and lysosomal acidification. Nature Cell Biology. 21(3). 384–396. 95 indexed citations

Şentürk, Mümine, Dongxue Mao, & Hugo J. Bellen. (2019). Loss of proteins associated with amyotrophic lateral sclerosis affects lysosomal acidification via different routes. Autophagy. 15(8). 1467–1469. 9 indexed citations

Mao, Dongxue, Guang Lin, Burak Tepe, et al.. (2019). VAMP associated proteins are required for autophagic and lysosomal degradation by promoting a PtdIns4P-mediated endosomal pathway. Autophagy. 15(7). 1214–1233. 42 indexed citations

Şentürk, Mümine & Hugo J. Bellen. (2017). Genetic strategies to tackle neurological diseases in fruit flies. Current Opinion in Neurobiology. 50. 24–32. 52 indexed citations

Chouhan, Amit K., Caiwei Guo, Yi‐Chen Hsieh, et al.. (2016). Uncoupling neuronal death and dysfunction in Drosophila models of neurodegenerative disease. Acta Neuropathologica Communications. 4(1). 62–62. 58 indexed citations

Troeger, Anja, Hee‐Don Chae, Mümine Şentürk, Jenna Wood, & David A. Williams. (2013). A Unique Carboxyl-terminal Insert Domain in the Hematopoietic-specific, GTPase-deficient Rho GTPase RhoH Regulates Post-translational Processing. Journal of Biological Chemistry. 288(51). 36451–36462. 9 indexed citations

10.

Troeger, Anja, et al.. (2010). Intact Rac Signaling Is Important for Leukemia Cell Survival. Blood. 116(21). 2885–2885. 1 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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