Ken Berglund

2.7k total citations
56 papers, 2.0k citations indexed

About

Ken Berglund is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Ken Berglund has authored 56 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cellular and Molecular Neuroscience, 29 papers in Molecular Biology and 14 papers in Biomedical Engineering. Recurrent topics in Ken Berglund's work include Photoreceptor and optogenetics research (24 papers), Neuroscience and Neuropharmacology Research (19 papers) and Neuroscience and Neural Engineering (13 papers). Ken Berglund is often cited by papers focused on Photoreceptor and optogenetics research (24 papers), Neuroscience and Neuropharmacology Research (19 papers) and Neuroscience and Neural Engineering (13 papers). Ken Berglund collaborates with scholars based in United States, Singapore and South Korea. Ken Berglund's co-authors include George J Augustine, Masao Tachibana, Hyungju Park, Soo-Jung Lee, Bo-Eun Yoon, Hee‐Sup Shin, C. Justin Lee, Soo‐Jin Oh, Robert D. Tilton and Ute Hochgeschwender and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Ken Berglund

52 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Berglund United States 24 1.2k 970 310 220 216 56 2.0k
Dong Ho Woo South Korea 16 864 0.7× 747 0.8× 185 0.6× 172 0.8× 412 1.9× 41 1.9k
Carmen Villmann Germany 26 1.1k 0.9× 937 1.0× 175 0.6× 89 0.4× 91 0.4× 106 2.2k
Miquel Bosch Spain 23 1.4k 1.2× 1.2k 1.2× 125 0.4× 281 1.3× 141 0.7× 60 2.8k
Matthew R. Hynd United States 16 883 0.7× 538 0.6× 367 1.2× 185 0.8× 192 0.9× 27 1.8k
Jean‐François Bouchard Canada 28 1.0k 0.8× 792 0.8× 156 0.5× 288 1.3× 78 0.4× 66 2.4k
Changliang Liu China 22 761 0.6× 907 0.9× 162 0.5× 271 1.2× 90 0.4× 44 1.7k
Linyin Feng China 29 1.4k 1.1× 1.3k 1.3× 189 0.6× 157 0.7× 322 1.5× 56 2.9k
Stefano Taverna Italy 24 1.4k 1.2× 1.6k 1.6× 155 0.5× 514 2.3× 190 0.9× 44 2.8k
Katsuya Yamada Japan 20 527 0.4× 697 0.7× 154 0.5× 338 1.5× 86 0.4× 65 2.0k
Hong Jin United States 19 1.2k 1.0× 832 0.9× 69 0.2× 237 1.1× 143 0.7× 30 2.1k

Countries citing papers authored by Ken Berglund

Since Specialization
Citations

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

Fields of papers citing papers by Ken Berglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Berglund

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Berglund. A scholar is included among the top collaborators of Ken Berglund 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 Ken Berglund. Ken Berglund 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.
Berglund, Ken, et al.. (2024). Adaptive wheel exercise for mouse models of Parkinson’s Disease. Journal of Neuroscience Methods. 414. 110314–110314.
2.
Jiang, Michael Q., et al.. (2024). Reprogramming Glioblastoma Cells into Non-Cancerous Neuronal Cells as a Novel Anti-Cancer Strategy. Cells. 13(11). 897–897. 2 indexed citations
3.
Stern, Matthew, et al.. (2024). Seizure event detection using intravital two-photon calcium imaging data. Neurophotonics. 11(2). 24202–24202. 4 indexed citations
4.
Stern, Matthew, Raymond Dingledine, Robert A. Gross, & Ken Berglund. (2024). Epilepsy insights revealed by intravital functional optical imaging. Frontiers in Neurology. 15. 1465232–1465232. 1 indexed citations
5.
Michetti, Caterina, L. Ciano, Laura Emionite, et al.. (2024). A pH-sensitive closed-loop nanomachine to control hyperexcitability at the single neuron level. Nature Communications. 15(1). 5609–5609. 4 indexed citations
6.
Shim, Seong S., Ken Berglund, & Shan Ping Yu. (2023). Lithium: An Old Drug for New Therapeutic Strategy for Alzheimer’s Disease and Related Dementia. Neurodegenerative Diseases. 23(1-2). 1–12. 6 indexed citations
7.
Xia, Yiyuan, Hiroshi Qadota, Zhi-Hao Wang, et al.. (2022). Neuronal C/EBPβ/AEP pathway shortens life span via selective GABAnergic neuronal degeneration by FOXO repression. Science Advances. 8(13). eabj8658–eabj8658. 26 indexed citations
8.
Berglund, Ken, Matthew Stern, & Robert E. Gross. (2021). Bioluminescence-Optogenetics. Advances in experimental medicine and biology. 1293. 281–293. 10 indexed citations
9.
Gupta, Rohan, et al.. (2020). In Vivo Assessment of Cell Death and Nigrostriatal Pathway Integrity Following Continuous Expression of C3 Transferase. Neuroscience. 442. 183–192. 2 indexed citations
10.
Yu, Shan Ping, Jack K. Tung, Zheng Wei, et al.. (2019). Optochemogenetic Stimulation of Transplanted iPS-NPCs Enhances Neuronal Repair and Functional Recovery after Ischemic Stroke. Journal of Neuroscience. 39(33). 6571–6594. 71 indexed citations
11.
Tung, Jack K., Ken Berglund, & Robert E. Gross. (2016). Optogenetic Approaches for Controlling Seizure Activity. Brain stimulation. 9(6). 801–810. 21 indexed citations
12.
Berglund, Ken, et al.. (2014). Non-invasive activation of optogenetic actuators. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8928. 14 indexed citations
13.
Berglund, Ken, et al.. (2013). Light-Emitting Channelrhodopsins for Combined Optogenetic and Chemical-Genetic Control of Neurons. PLoS ONE. 8(3). e59759–e59759. 66 indexed citations
14.
Lee, Soo-Jung, Bo-Eun Yoon, Ken Berglund, et al.. (2010). Channel-Mediated Tonic GABA Release from Glia. Science. 330(6005). 790–796. 447 indexed citations
15.
Berglund, Ken & George J Augustine. (2008). Calcium Helps Neurons Identify Synaptic Targets during Development. Neuron. 59(2). 186–187. 3 indexed citations
16.
Midorikawa, Mitsuharu, Yoshihiko Tsukamoto, Ken Berglund, Masaaki Ishii, & Masao Tachibana. (2007). Different roles of ribbon-associated and ribbon-free active zones in retinal bipolar cells. Nature Neuroscience. 10(10). 1268–1276. 65 indexed citations
17.
Berglund, Ken, Patrik Krieger, Li Shen Loo, et al.. (2006). Imaging synaptic inhibition in transgenic mice expressing the chloride indicator, Clomeleon. PubMed. 35(4-6). 207–228. 67 indexed citations
18.
Pond, Brooks B., Ken Berglund, Thomas Kuner, et al.. (2006). The Chloride Transporter Na+-K+-Cl−Cotransporter Isoform-1 Contributes to Intracellular Chloride Increases afterIn VitroIschemia. Journal of Neuroscience. 26(5). 1396–1406. 104 indexed citations
19.
Gersdorff, Henrique von, Takeshi Sakaba, Ken Berglund, & Masao Tachibana. (1998). Submillisecond Kinetics of Glutamate Release from a Sensory Synapse. Neuron. 21(5). 1177–1188. 144 indexed citations
20.
Berglund, Ken, et al.. (1998). Potentiation of transmitter release by protein kinase C in goldfish retinal bipolar cells. The Journal of Physiology. 512(1). 219–225. 31 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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