Çağla Eroğlu

10.6k total citations · 5 hit papers
73 papers, 7.1k citations indexed

About

Çağla Eroğlu is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Çağla Eroğlu has authored 73 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 28 papers in Neurology and 25 papers in Molecular Biology. Recurrent topics in Çağla Eroğlu's work include Neuroscience and Neuropharmacology Research (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers) and Neurogenesis and neuroplasticity mechanisms (19 papers). Çağla Eroğlu is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers) and Neurogenesis and neuroplasticity mechanisms (19 papers). Çağla Eroğlu collaborates with scholars based in United States, Türkiye and Germany. Çağla Eroğlu's co-authors include Nicola J. Allen, Ben A. Barres, Won‐Suk Chung, W. Christopher Risher, Katherine T. Baldwin, Dominic Ippolito, Jeffrey A. Stogsdill, Chandrani Chakraborty, Jonnathan Singh Alvarado and M. Ilcim Ozlu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Çağla Eroğlu

70 papers receiving 7.1k citations

Hit Papers

Gabapentin Receptor α2δ-1 Is a Neuronal Thrombospondin Re... 2009 2026 2014 2020 2009 2017 2010 2015 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Çağla Eroğlu United States 38 3.4k 2.7k 2.6k 1.6k 1.2k 73 7.1k
Erik M. Ullian United States 36 2.8k 0.8× 3.2k 1.2× 1.9k 0.7× 1.7k 1.1× 658 0.6× 49 6.7k
Jean Mariani France 53 4.0k 1.2× 4.0k 1.5× 2.4k 0.9× 1.6k 1.1× 1.3k 1.1× 235 9.1k
Junichi Nabekura Japan 49 4.2k 1.3× 3.0k 1.1× 3.9k 1.5× 1.2k 0.8× 1.5k 1.3× 172 9.9k
Matthias Klugmann Australia 43 3.3k 1.0× 3.6k 1.3× 1.0k 0.4× 1.1k 0.7× 878 0.8× 99 7.4k
David Stellwagen Canada 27 3.8k 1.1× 2.1k 0.8× 2.5k 1.0× 855 0.5× 766 0.7× 46 6.7k
Nicola J. Allen United States 31 4.0k 1.2× 3.4k 1.2× 4.9k 1.9× 2.1k 1.3× 1.7k 1.5× 47 10.1k
Maurice A. Curtis New Zealand 44 2.0k 0.6× 2.7k 1.0× 1.7k 0.6× 2.2k 1.4× 1.2k 1.0× 143 7.0k
Barbara Steiner Germany 44 2.5k 0.7× 2.5k 0.9× 1.5k 0.6× 3.5k 2.3× 1.5k 1.3× 103 8.5k
Karen S. Christopherson United States 13 3.8k 1.1× 4.0k 1.5× 3.6k 1.4× 1.9k 1.2× 1.5k 1.3× 14 9.4k
Laura Clarke United States 33 2.3k 0.7× 3.8k 1.4× 3.0k 1.1× 1.6k 1.0× 1.1k 1.0× 52 8.6k

Countries citing papers authored by Çağla Eroğlu

Since Specialization
Citations

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

Fields of papers citing papers by Çağla Eroğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Çağla Eroğlu

This figure shows the co-authorship network connecting the top 25 collaborators of Çağla Eroğlu. A scholar is included among the top collaborators of Çağla Eroğlu 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 Çağla Eroğlu. Çağla Eroğlu 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.
Xu, Jing, Yize Li, Aidan McGinnis, et al.. (2026). Mitochondrial transfer from glia to neurons protects against peripheral neuropathy. Nature. 650(8103). 951–960.
2.
Block, Carina L., A. Cortez, Kristina Sakers, et al.. (2025). The mouse neonatal small intestine is regionally specialized for protein absorption and transepithelial transport. Development. 152(23).
3.
Eroğlu, Çağla. (2025). Astrocytes, hidden puppet masters of the brain. Science. 388(6748). 705–706. 1 indexed citations
4.
Eroğlu, Çağla, et al.. (2024). Astrocyte-neuron crosstalk in neurodevelopmental disorders. Current Opinion in Neurobiology. 89. 102925–102925. 6 indexed citations
5.
Ramirez, J.J., et al.. (2024). SynBot is an open-source image analysis software for automated quantification of synapses. Cell Reports Methods. 4(9). 100861–100861. 5 indexed citations
6.
Wang, Shiyi, et al.. (2024). Astrocyte-secreted neurocan controls inhibitory synapse formation and function. Neuron. 112(10). 1657–1675.e10. 30 indexed citations
7.
Sakers, Kristina, et al.. (2023). δ-Catenin controls astrocyte morphogenesis via layer-specific astrocyte–neuron cadherin interactions. The Journal of Cell Biology. 222(11). 15 indexed citations
8.
Chen, Gang, Jing Xu, Hao Luo, et al.. (2022). Hevin/Sparcl1 drives pathological pain through spinal cord astrocyte and NMDA receptor signaling. JCI Insight. 7(23). 14 indexed citations
9.
Eroğlu, Çağla, et al.. (2021). Cell adhesion molecules regulating astrocyte–neuron interactions. Current Opinion in Neurobiology. 69. 170–177. 42 indexed citations
10.
Takano, Tetsuya, Katherine T. Baldwin, Alicia Purkey, et al.. (2020). Chemico-genetic discovery of astrocytic control of inhibition in vivo. Nature. 588(7837). 296–302. 139 indexed citations
11.
McKinstry, Spencer U., Namsoo Kim, M. Ilcim Ozlu, et al.. (2020). Striatal Projection Neurons Require Huntingtin for Synaptic Connectivity and Survival. Cell Reports. 30(3). 642–657.e6. 38 indexed citations
12.
Risher, W. Christopher, Namsoo Kim, Sehwon Koh, et al.. (2018). Thrombospondin receptor α2δ-1 promotes synaptogenesis and spinogenesis via postsynaptic Rac1. The Journal of Cell Biology. 217(10). 3747–3765. 108 indexed citations
13.
Park, John, Chunyi Zhou, Kang-Wu Li, et al.. (2016). Central Mechanisms Mediating Thrombospondin-4-induced Pain States. Journal of Biological Chemistry. 291(25). 13335–13348. 56 indexed citations
14.
Risher, W. Christopher, et al.. (2014). Rapid Golgi Analysis Method for Efficient and Unbiased Classification of Dendritic Spines. PLoS ONE. 9(9). e107591–e107591. 220 indexed citations
15.
Wan, Yehong, Kristen K. Ade, Zachary F. Caffall, et al.. (2013). Circuit-Selective Striatal Synaptic Dysfunction in the Sapap3 Knockout Mouse Model of Obsessive-Compulsive Disorder. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
16.
Eroğlu, Çağla & Ben A. Barres. (2010). Regulation of synaptic connectivity by glia. Nature. 468(7321). 223–231. 598 indexed citations breakdown →
17.
Eroğlu, Çağla, et al.. (2009). Look who is weaving the neural web: glial control of synapse formation. Current Opinion in Neurobiology. 19(5). 491–497. 37 indexed citations
18.
Avkan-Oğuz, Vildan, et al.. (2004). rpoB Gene Mutations in Rifampin-ResistantMycobacterium tuberculosisStrains Isolated in the Aegean Region of Turkey. Journal of Chemotherapy. 16(5). 442–445. 7 indexed citations
19.
Leblebicioğlu, Hakan, Sercan Ulusoy, M. Sünbül, et al.. (2003). Informal consultations in infectious diseases and clinical microbiology practice. Clinical Microbiology and Infection. 9(7). 724–726. 20 indexed citations
20.
Eroğlu, Çağla & Ergün Pınarbaşı. (2000). Hepatitis C virus: genome organization, viral proteins and implications in disease pathogenesis.. TURKISH JOURNAL OF BIOLOGY. 24(2). 253–270. 2 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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