Hannah Choi

2.2k total citations
15 papers, 328 citations indexed

About

Hannah Choi is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hannah Choi has authored 15 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hannah Choi's work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (3 papers) and Photoreceptor and optogenetics research (2 papers). Hannah Choi is often cited by papers focused on Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (3 papers) and Photoreceptor and optogenetics research (2 papers). Hannah Choi collaborates with scholars based in United States, China and Canada. Hannah Choi's co-authors include Ştefan Mihalaş, Carl Sabottke, Lei Zhang, Hermann Riecke, Anitha Pasupathy, Eric Shea‐Brown, William L. Kath, Wanqiu Chen, Daniel A. Butts and Mark S. Cembrowski and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Neuroscience.

In The Last Decade

Hannah Choi

12 papers receiving 320 citations

Peers

Hannah Choi
Swathi Yadlapalli United States
Laxmikanta Pradhan United States
Isaac Shamie United States
Xingjie Pan United States
Jason A. Junge United States
Hanna A. Holland Netherlands
Thimo Rohlf Germany
Hannah Choi
Citations per year, relative to Hannah Choi Hannah Choi (= 1×) peers Khanh Dao Duc

Countries citing papers authored by Hannah Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannah Choi

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

All Works

15 of 15 papers shown
1.
Kim, Soon Ho, et al.. (2025). Lateral inhibition in V1 controls neural and perceptual contrast sensitivity. Nature Neuroscience. 28(4). 836–847. 1 indexed citations
2.
Choi, Hannah, et al.. (2025). Exploring the Architectural Biases of the Cortical Microcircuit. Neural Computation. 37(9). 1551–1599.
3.
Tang, Disheng, Joel Zylberberg, Xiaoxuan Jia, & Hannah Choi. (2024). Stimulus type shapes the topology of cellular functional networks in mouse visual cortex. Nature Communications. 15(1). 5753–5753. 2 indexed citations
4.
Pan, Xinlei, et al.. (2024). Generative AI for rapid diffusion MRI with improved image quality, reliability, and generalizability. Imaging Neuroscience. 2. 2 indexed citations
5.
Choi, Hannah, et al.. (2023). On the physiological and structural contributors to the overall balance of excitation and inhibition in local cortical networks. Journal of Computational Neuroscience. 52(1). 73–107.
7.
Zhang, Jianping, Zhi-Xue Yang, Feng Zhang, et al.. (2021). HDAC inhibitors improve CRISPR-mediated HDR editing efficiency in iPSCs. Science China Life Sciences. 64(9). 1449–1462. 20 indexed citations
8.
Chen, Wanqiu, Yongmei Zhao, Xin Chen, et al.. (2020). A multicenter study benchmarking single-cell RNA sequencing technologies using reference samples. Nature Biotechnology. 39(9). 1103–1114. 61 indexed citations
9.
Chang, Jenny H., et al.. (2020). Has Breast Surgery Shattered the Glass Ceiling? Trends in Female Representation at The American Society of Breast Surgeons Annual Meeting 2009–2019. Annals of Surgical Oncology. 27(12). 4662–4668. 8 indexed citations
10.
Choi, Hannah & Ştefan Mihalaş. (2019). Synchronization dependent on spatial structures of a mesoscopic whole-brain network. PLoS Computational Biology. 15(4). e1006978–e1006978. 26 indexed citations
11.
Choi, Hannah, Anitha Pasupathy, & Eric Shea‐Brown. (2018). Predictive Coding in Area V4: Dynamic Shape Discrimination under Partial Occlusion. Neural Computation. 30(5). 1209–1257. 4 indexed citations
12.
Li, Xiaolan, Guohua Li, Juan Fu, et al.. (2018). Highly efficient genome editing via CRISPR–Cas9 in human pluripotent stem cells is achieved by transient BCL-XL overexpression. Nucleic Acids Research. 46(19). 10195–10215. 80 indexed citations
13.
El-Shamayleh, Yasmine, et al.. (2017). Dynamic representation of partially occluded objects in primate prefrontal and visual cortex. eLife. 6. 34 indexed citations
14.
Choi, Hannah, Lei Zhang, Mark S. Cembrowski, et al.. (2014). Intrinsic bursting of AII amacrine cells underlies oscillations in the rd1 mouse retina. Journal of Neurophysiology. 112(6). 1491–1504. 69 indexed citations
15.
Choi, M. Y., Hannah Choi, Jean-Yves Fortin, & JiYeon Choi. (2009). How skew distributions emerge in evolving systems. Europhysics Letters (EPL). 85(3). 30006–30006. 20 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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