Joe Z. Tsien

14.7k total citations · 5 hit papers
96 papers, 10.9k citations indexed

About

Joe Z. Tsien is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Joe Z. Tsien has authored 96 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cellular and Molecular Neuroscience, 56 papers in Cognitive Neuroscience and 28 papers in Molecular Biology. Recurrent topics in Joe Z. Tsien's work include Neuroscience and Neuropharmacology Research (49 papers), Memory and Neural Mechanisms (43 papers) and Neural dynamics and brain function (29 papers). Joe Z. Tsien is often cited by papers focused on Neuroscience and Neuropharmacology Research (49 papers), Memory and Neural Mechanisms (43 papers) and Neural dynamics and brain function (29 papers). Joe Z. Tsien collaborates with scholars based in United States, China and United Kingdom. Joe Z. Tsien's co-authors include Susumu Tonegawa, Patricio T. Huerta, Ya‐Ping Tang, Claire Rampon, Eiji Shimizu, Peter G. Schultz, Yinghe Hu, Min Zhuo, Guosong Liu and Gilles Dubé and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Joe Z. Tsien

95 papers receiving 10.7k citations

Hit Papers

Genetic enhancement of learning and memory in mice 1996 2026 2006 2016 1999 1996 1996 2000 2000 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Z. Tsien United States 43 5.7k 4.1k 3.7k 1.3k 1.2k 96 10.9k
Cristina M. Alberini United States 49 5.2k 0.9× 3.2k 0.8× 3.8k 1.0× 1.7k 1.3× 1.0k 0.9× 102 10.4k
Mark Mayford United States 43 6.5k 1.1× 5.1k 1.3× 3.8k 1.0× 1.2k 0.9× 934 0.8× 62 11.0k
Yuchio Yanagawa Japan 64 8.3k 1.4× 5.0k 1.2× 4.3k 1.2× 1.3k 1.0× 2.1k 1.7× 321 14.6k
Nicoletta Berardi Italy 48 5.2k 0.9× 3.0k 0.7× 3.6k 1.0× 1.1k 0.8× 1.7k 1.4× 117 10.3k
Uwe Rudolph United States 59 8.2k 1.4× 4.8k 1.2× 3.8k 1.0× 884 0.7× 1.1k 0.9× 180 12.6k
Gregg E. Homanics United States 59 6.3k 1.1× 4.5k 1.1× 2.4k 0.7× 1.2k 0.9× 860 0.7× 212 10.8k
Kunihiko Obata Japan 55 6.4k 1.1× 3.9k 1.0× 2.3k 0.6× 991 0.8× 1.6k 1.3× 167 10.6k
Asla Pitkänen Finland 72 9.9k 1.7× 4.8k 1.2× 4.6k 1.3× 1.3k 1.0× 1.5k 1.3× 338 18.6k
Stefano Vicini United States 62 10.0k 1.8× 6.4k 1.6× 2.6k 0.7× 1.5k 1.2× 1.3k 1.1× 204 13.1k
John F. Guzowski United States 36 5.4k 0.9× 2.2k 0.5× 4.1k 1.1× 1.3k 1.0× 1.0k 0.9× 52 8.3k

Countries citing papers authored by Joe Z. Tsien

Since Specialization
Citations

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

Fields of papers citing papers by Joe Z. Tsien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe Z. Tsien. 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 Joe Z. Tsien. The network helps show where Joe Z. Tsien may publish in the future.

Co-authorship network of co-authors of Joe Z. Tsien

This figure shows the co-authorship network connecting the top 25 collaborators of Joe Z. Tsien. A scholar is included among the top collaborators of Joe Z. Tsien 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 Joe Z. Tsien. Joe Z. Tsien 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.
Liu, Jun, Cheng Lyu, Meng Li, et al.. (2018). Neural Coding of Appetitive Food Experiences in the Amygdala. Neurobiology of Learning and Memory. 155. 261–275. 9 indexed citations
2.
Liu, Jun, Wei Wei, Hui Kuang, Fang Zhao, & Joe Z. Tsien. (2013). Changes in Heart Rate Variability Are Associated with Expression of Short-Term and Long-Term Contextual and Cued Fear Memories. PLoS ONE. 8(5). e63590–e63590. 22 indexed citations
3.
Zhao, Fang, Meng Li, Qian Yi, & Joe Z. Tsien. (2013). Remote Measurements of Heart and Respiration Rates for Telemedicine. PLoS ONE. 8(10). e71384–e71384. 140 indexed citations
4.
Cui, Zhenzhong, Ruiben Feng, Stephanie Jacobs, et al.. (2013). Increased NR2A:NR2B ratio compresses long-term depression range and constrains long-term memory. Scientific Reports. 3(1). 1036–1036. 82 indexed citations
5.
Wang, Dong V. & Joe Z. Tsien. (2011). Conjunctive Processing of Locomotor Signals by the Ventral Tegmental Area Neuronal Population. PLoS ONE. 6(1). e16528–e16528. 40 indexed citations
6.
Wang, Dong V. & Joe Z. Tsien. (2011). Convergent Processing of Both Positive and Negative Motivational Signals by the VTA Dopamine Neuronal Populations. PLoS ONE. 6(2). e17047–e17047. 89 indexed citations
7.
Li, Fēi, Dong Wang, Kun Xie, et al.. (2011). NMDA Receptors in Dopaminergic Neurons Are Crucial for Habit Learning. Neuron. 72(6). 1055–1066. 98 indexed citations
8.
Bibb, James, Mark Mayford, Joe Z. Tsien, & Cristina M. Alberini. (2010). Cognition Enhancement Strategies: Figure 1.. Journal of Neuroscience. 30(45). 14987–14992. 33 indexed citations
9.
Kuang, Hui, Longnian Lin, & Joe Z. Tsien. (2010). Temporal Dynamics of Distinct CA1 Cell Populations during Unconscious State Induced by Ketamine. PLoS ONE. 5(12). e15209–e15209. 18 indexed citations
10.
Heng, Mary Y., et al.. (2009). In VivoEvidence for NMDA Receptor-Mediated Excitotoxicity in a Murine Genetic Model of Huntington Disease. Journal of Neuroscience. 29(10). 3200–3205. 89 indexed citations
11.
Cao, Xiaohua, et al.. (2008). Inducible and Selective Erasure of Memories in the Mouse Brain via Chemical-Genetic Manipulation. Neuron. 60(2). 353–366. 57 indexed citations
12.
Tsien, Joe Z.. (2007). The organizing principles of real-time memory encoding: Neural clique assemblies and universal neural codes. Neuroscience Research. 58. S30–S30. 6 indexed citations
13.
Oşan, Remus, Li Zhu, Shy Shoham, & Joe Z. Tsien. (2007). Subspace Projection Approaches to Classification and Visualization of Neural Network-Level Encoding Patterns. PLoS ONE. 2(5). e404–e404. 12 indexed citations
14.
Feng, Wei, Chao Zhang, Kevan M. Shokat, et al.. (2006). Forebrain Overexpression of CaMKII abolishes Cingulate Long Term Depression and Reduces Mechanical Allodynia and Thermal Hyperalgesia. Molecular Pain. 2. 21–21. 22 indexed citations
15.
Cui, Zhenzhong, et al.. (2004). Inducible and Reversible NR1 Knockout Reveals Crucial Role of the NMDA Receptor in Preserving Remote Memories in the Brain. Neuron. 41(5). 781–793. 123 indexed citations
16.
Shimizu, Eiji, Ya‐Ping Tang, Min Cho, et al.. (2003). Inducible protein knockout reveals temporal requirement of CaMKII reactivation for memory consolidation in the brain. Proceedings of the National Academy of Sciences. 100(7). 4287–4292. 126 indexed citations
17.
Wittenberg, Gayle, Megan R. Sullivan, & Joe Z. Tsien. (2002). Synaptic reentry reinforcement based network model for long‐term memory consolidation. Hippocampus. 12(5). 637–647. 67 indexed citations
18.
Tsien, Joe Z., et al.. (2000). Genetic analysis of learning behavior‐induced structural plasticity. Hippocampus. 10(5). 605–609. 5 indexed citations
19.
Liu, Yi, Anthony C. Bishop, Laurie Witucki, et al.. (1999). Structural basis for selective inhibition of Src family kinases by PP1. Chemistry & Biology. 6(9). 671–678. 211 indexed citations
20.
Tang, Ya‐Ping, Eiji Shimizu, Gilles Dubé, et al.. (1999). Genetic enhancement of learning and memory in mice. Nature. 401(6748). 63–69. 1442 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026