Berrak Uğur

936 total citations
10 papers, 544 citations indexed

About

Berrak Uğur is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Berrak Uğur has authored 10 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Berrak Uğur's work include Cellular transport and secretion (5 papers), CRISPR and Genetic Engineering (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). Berrak Uğur is often cited by papers focused on Cellular transport and secretion (5 papers), CRISPR and Genetic Engineering (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). Berrak Uğur collaborates with scholars based in United States, Australia and Netherlands. Berrak Uğur's co-authors include Hugo J. Bellen, Kuchuan Chen, Pietro De Camilli, Marianna Leonzino, William Hancock‐Cerutti, Zhongyuan Zuo, Yumei Wu, Lita Duraine, S. Sebastian Pineda and Andrés Guillén-Samander and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Genome Research.

In The Last Decade

Berrak Uğur

10 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Berrak Uğur United States	7	299	150	116	86	67	10	544
Shan Jin China	12	265 0.9×	108 0.7×	133 1.1×	50 0.6×	118 1.8×	21	506
Ayako Kohyama‐Koganeya Japan	12	322 1.1×	131 0.9×	120 1.0×	124 1.4×	39 0.6×	20	553
Daniel R. Marenda United States	20	478 1.6×	228 1.5×	137 1.2×	125 1.5×	103 1.5×	39	900
Gabriela Casanova Uruguay	15	258 0.9×	117 0.8×	59 0.5×	50 0.6×	49 0.7×	33	585
Marlène Cassar United States	11	164 0.5×	293 2.0×	70 0.6×	68 0.8×	125 1.9×	16	509
Champakali Ayyub India	10	156 0.5×	198 1.3×	65 0.6×	70 0.8×	62 0.9×	16	452
Sofia Grammenoudi Greece	14	473 1.6×	128 0.9×	59 0.5×	156 1.8×	92 1.4×	21	743
Alessia Soldano Belgium	11	285 1.0×	154 1.0×	56 0.5×	79 0.9×	40 0.6×	13	481
Hakeem O. Lawal United States	13	207 0.7×	278 1.9×	68 0.6×	52 0.6×	68 1.0×	22	620

Countries citing papers authored by Berrak Uğur

Since Specialization

Citations

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

Fields of papers citing papers by Berrak Uğur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Berrak Uğur

This figure shows the co-authorship network connecting the top 25 collaborators of Berrak Uğur. A scholar is included among the top collaborators of Berrak Uğur 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 Berrak Uğur. Berrak Uğur 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

Uğur, Berrak, Florian Schueder, Jimann Shin, et al.. (2024). VPS13B is localized at the interface between Golgi cisternae and is a functional partner of FAM177A1. The Journal of Cell Biology. 223(12). 6 indexed citations

Uğur, Berrak, Kazuhiro Aoki, Dirk J. Lefeber, et al.. (2023). Glia-neuron coupling via a bipartite sialylation pathway promotes neural transmission and stress tolerance in Drosophila. eLife. 12. 2 indexed citations

Bosch, Justin A., Berrak Uğur, Zhongyuan Zuo, et al.. (2022). Two neuronal peptides encoded from a single transcript regulate mitochondrial complex III in Drosophila. eLife. 11. 6 indexed citations

Guillén-Samander, Andrés, Yumei Wu, S. Sebastian Pineda, et al.. (2022). A partnership between the lipid scramblase XK and the lipid transfer protein VPS13A at the plasma membrane. Proceedings of the National Academy of Sciences. 119(35). e2205425119–e2205425119. 44 indexed citations

Joardar, Archi, et al.. (2022). TDP-43 Proteinopathy Causes Broad Metabolic Alterations including TCA Cycle Intermediates and Dopamine Levels in Drosophila Models of ALS. Metabolites. 12(2). 101–101. 7 indexed citations

Uğur, Berrak, William Hancock‐Cerutti, Marianna Leonzino, & Pietro De Camilli. (2020). Role of VPS13, a protein with similarity to ATG2, in physiology and disease. Current Opinion in Genetics & Development. 65. 61–68. 42 indexed citations

Lee, Tom V., Νικόλαος Γιαγτζόγλου, Lei Yu, et al.. (2019). cindr, the Drosophila Homolog of the CD2AP Alzheimer’s Disease Risk Gene, Is Required for Synaptic Transmission and Proteostasis. Cell Reports. 28(7). 1799–1813.e5. 28 indexed citations

Uğur, Berrak, Huan Bao, Michał Stawarski, et al.. (2017). The Krebs Cycle Enzyme Isocitrate Dehydrogenase 3A Couples Mitochondrial Metabolism to Synaptic Transmission. Cell Reports. 21(13). 3794–3806. 24 indexed citations

Uğur, Berrak, Kuchuan Chen, & Hugo J. Bellen. (2016). Drosophilatools and assays for the study of human diseases. Disease Models & Mechanisms. 9(3). 235–244. 336 indexed citations

10.

Haelterman, Nele A, Lichun Jiang, Yumei Li, et al.. (2014). Large-scale identification of chemically induced mutations in Drosophila melanogaster. Genome Research. 24(10). 1707–1718. 49 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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