Bei‐Jung Lin

1.3k total citations
9 papers, 390 citations indexed

About

Bei‐Jung Lin is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Sensory Systems. According to data from OpenAlex, Bei‐Jung Lin has authored 9 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 3 papers in Sensory Systems. Recurrent topics in Bei‐Jung Lin's work include Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (3 papers) and Olfactory and Sensory Function Studies (3 papers). Bei‐Jung Lin is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (3 papers) and Olfactory and Sensory Function Studies (3 papers). Bei‐Jung Lin collaborates with scholars based in Taiwan, United States and Germany. Bei‐Jung Lin's co-authors include Doyun Lee, Albert K. Lee, Tsai‐Wen Chen, Detlev Schild, Karel Svoboda, Shaul Druckmann, Kayvon Daie, Ziqiang Wei, Chung‐Chin Kuo and Edgar Brunner and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Bei‐Jung Lin

9 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bei‐Jung Lin Taiwan 7 317 257 52 49 27 9 390
Matthew Geramita United States 11 239 0.8× 172 0.7× 60 1.2× 104 2.1× 27 1.0× 15 406
Chun X. Falk United States 8 229 0.7× 137 0.5× 70 1.3× 32 0.7× 16 0.6× 11 345
Katie Ferguson Canada 11 291 0.9× 301 1.2× 80 1.5× 30 0.6× 26 1.0× 19 432
Rinaldo D. D’Souza United States 8 215 0.7× 251 1.0× 59 1.1× 86 1.8× 19 0.7× 12 356
Alexandra Gribizis United States 7 179 0.6× 174 0.7× 86 1.7× 71 1.4× 20 0.7× 7 301
Phillip Larimer United States 11 349 1.1× 236 0.9× 79 1.5× 92 1.9× 47 1.7× 14 490
Chie Matsubara Japan 5 214 0.7× 312 1.2× 30 0.6× 17 0.3× 22 0.8× 8 396
Yang Tsau United States 9 330 1.0× 302 1.2× 59 1.1× 43 0.9× 8 0.3× 11 440
Sonia Bolea Spain 7 370 1.2× 348 1.4× 74 1.4× 20 0.4× 20 0.7× 9 507
Takahiro Noda Japan 9 183 0.6× 274 1.1× 23 0.4× 32 0.7× 46 1.7× 26 370

Countries citing papers authored by Bei‐Jung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Bei‐Jung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bei‐Jung Lin. 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 Bei‐Jung Lin. The network helps show where Bei‐Jung Lin may publish in the future.

Co-authorship network of co-authors of Bei‐Jung Lin

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

All Works

9 of 9 papers shown
1.
Chen, Tsai‐Wen, et al.. (2025). Imaging neuronal voltage beyond the scattering limit. Nature Methods. 22(6). 1366–1375. 1 indexed citations
2.
Huang, Yi-Chieh, Yu-Ting Lin, Ahmed S. Abdelfattah, et al.. (2024). Dynamic assemblies of parvalbumin interneurons in brain oscillations. Neuron. 112(15). 2600–2613.e5. 6 indexed citations
3.
Wei, Ziqiang, Bei‐Jung Lin, Tsai‐Wen Chen, et al.. (2020). A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology. PLoS Computational Biology. 16(9). e1008198–e1008198. 98 indexed citations
4.
Lin, Bei‐Jung, et al.. (2016). Simultaneous calcium imaging using GCaMP sensors and electrophysiology in L2/3 pyramidal neurons of the visual cortex in thy1 transgenic mice ; CRCNS.org cai-4. 1 indexed citations
5.
Lee, Doyun, Bei‐Jung Lin, & Albert K. Lee. (2012). Hippocampal Place Fields Emerge upon Single-Cell Manipulation of Excitability During Behavior. Science. 337(6096). 849–853. 177 indexed citations
6.
Chen, Tsai‐Wen, Bei‐Jung Lin, & Detlev Schild. (2009). Odor coding by modules of coherent mitral/tufted cells in the vertebrate olfactory bulb. Proceedings of the National Academy of Sciences. 106(7). 2401–2406. 25 indexed citations
7.
Lin, Bei‐Jung, Tsai‐Wen Chen, & Detlev Schild. (2007). Cell type‐specific relationships between spiking and [Ca2+]i in neurons of the Xenopus tadpole olfactory bulb. The Journal of Physiology. 582(1). 163–175. 25 indexed citations
8.
Chen, Tsai‐Wen, Bei‐Jung Lin, Edgar Brunner, & Detlev Schild. (2005). In Situ Background Estimation in Quantitative Fluorescence Imaging. Biophysical Journal. 90(7). 2534–2547. 26 indexed citations
9.
Kuo, Chung‐Chin, et al.. (2004). Use-Dependent Inhibition of the N-Methyl-D-aspartate Currents by Felbamate: a Gating Modifier with Selective Binding to the Desensitized Channels. Molecular Pharmacology. 65(2). 370–380. 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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