Görkem Garipler

511 total citations
11 papers, 295 citations indexed

About

Görkem Garipler is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Görkem Garipler has authored 11 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Clinical Biochemistry. Recurrent topics in Görkem Garipler's work include CRISPR and Genetic Engineering (5 papers), Mitochondrial Function and Pathology (5 papers) and Pluripotent Stem Cells Research (4 papers). Görkem Garipler is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Mitochondrial Function and Pathology (5 papers) and Pluripotent Stem Cells Research (4 papers). Görkem Garipler collaborates with scholars based in United States, Türkiye and Germany. Görkem Garipler's co-authors include Esteban O. Mazzoni, Cory D. Dunn, Shaun Mahony, Begüm Aydın, Akshay Kakumanu, Niels Ringstad, Nuria Flames, Mireia Moreno‐Estellés, Uwe Ohler and Rahul Satija and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.

In The Last Decade

Görkem Garipler

11 papers receiving 294 citations

Peers

Görkem Garipler
Michael Closser United States
Alexander P. Runko United States
Milica Tešić Mark United States
Ione Meyer United Kingdom
Antonis Tatarakis United States
Kai Chang United States
Martin Mikl Austria
Ximena Corso‐Díaz United States
Michael Closser United States
Görkem Garipler
Citations per year, relative to Görkem Garipler Görkem Garipler (= 1×) peers Michael Closser

Countries citing papers authored by Görkem Garipler

Since Specialization
Citations

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

Fields of papers citing papers by Görkem Garipler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Görkem Garipler

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

All Works

11 of 11 papers shown
1.
Tiniakou, Ioanna, Görkem Garipler, Nicholas M. Adams, et al.. (2024). Genome-wide screening identifies Trim33 as an essential regulator of dendritic cell differentiation. Science Immunology. 9(94). eadi1023–eadi1023. 6 indexed citations
2.
Lu, Congyi, Görkem Garipler, Chao Dai, et al.. (2023). Essential transcription factors for induced neuron differentiation. Nature Communications. 14(1). 8362–8362. 15 indexed citations
3.
Garipler, Görkem, Congyi Lu, Simon E. Vidal, et al.. (2022). The BTB transcription factors ZBTB11 and ZFP131 maintain pluripotency by repressing pro-differentiation genes. Cell Reports. 38(11). 110524–110524. 11 indexed citations
4.
Kong, Wenjun, Emily M. Holloway, Görkem Garipler, et al.. (2022). Capybara: A computational tool to measure cell identity and fate transitions. Cell stem cell. 29(4). 635–649.e11. 31 indexed citations
5.
Aydın, Begüm, Akshay Kakumanu, Mireia Moreno‐Estellés, et al.. (2019). Proneural factors Ascl1 and Neurog2 contribute to neuronal subtype identities by establishing distinct chromatin landscapes. Nature Neuroscience. 22(6). 897–908. 80 indexed citations
6.
Kemppainen, Esko, Görkem Garipler, Tea Tuomela, et al.. (2016). Mitochondrial Dysfunction Plus High-Sugar Diet Provokes a Metabolic Crisis That Inhibits Growth. PLoS ONE. 11(1). e0145836–e0145836. 23 indexed citations
7.
Tardu, Mehmet, et al.. (2016). Reduced Glucose Sensation Can Increase the Fitness of Saccharomyces cerevisiae Lacking Mitochondrial DNA. PLoS ONE. 11(1). e0146511–e0146511. 5 indexed citations
8.
Velasco, Silvia, Mahmoud M. Ibrahim, Akshay Kakumanu, et al.. (2016). A Multi-step Transcriptional and Chromatin State Cascade Underlies Motor Neuron Programming from Embryonic Stem Cells. Cell stem cell. 20(2). 205–217.e8. 77 indexed citations
9.
Garipler, Görkem, et al.. (2014). Activation of the Pleiotropic Drug Resistance Pathway Can Promote Mitochondrial DNA Retention by Fusion-Defective Mitochondria in Saccharomyces cerevisiae. G3 Genes Genomes Genetics. 4(7). 1247–1258. 10 indexed citations
10.
Garipler, Görkem, et al.. (2014). Deletion of conserved protein phosphatases reverses defects associated with mitochondrial DNA damage inSaccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 111(4). 1473–1478. 24 indexed citations
11.
Garipler, Görkem & Cory D. Dunn. (2013). Defects Associated with Mitochondrial DNA Damage Can Be Mitigated by Increased Vacuolar pH in Saccharomyces cerevisiae. Genetics. 194(1). 285–290. 13 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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