John Lisman

34.5k total citations · 9 hit papers
188 papers, 25.0k citations indexed

About

John Lisman is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, John Lisman has authored 188 papers receiving a total of 25.0k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Cellular and Molecular Neuroscience, 107 papers in Cognitive Neuroscience and 90 papers in Molecular Biology. Recurrent topics in John Lisman's work include Neuroscience and Neuropharmacology Research (116 papers), Neural dynamics and brain function (72 papers) and Photoreceptor and optogenetics research (67 papers). John Lisman is often cited by papers focused on Neuroscience and Neuropharmacology Research (116 papers), Neural dynamics and brain function (72 papers) and Photoreceptor and optogenetics research (67 papers). John Lisman collaborates with scholars based in United States, Brazil and United Kingdom. John Lisman's co-authors include Ole Jensen, Anthony A. Grace, Sridhar Raghavachari, Patricio T. Huerta, Nonna A. Otmakhova, Howard Schulman, Hollis T. Cline, Nikolai Otmakhov, J. E. Brown and Ryohei Yasuda and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

John Lisman

188 papers receiving 24.3k citations

Hit Papers

The Hippocampal-VTA Loop: Controlling the Entry o... 1989 2026 2001 2013 2005 2002 1997 2013 1989 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Hippocampal-VTA Loop: Controlling the Entry of Information into Long-Term Memory
    2005 1.5k citations John Lisman et al. Neuron profile →
  2. The molecular basis of CaMKII function in synaptic and behavioural memory
    2002 1.4k citations John Lisman, Howard Schulman et al. Nature reviews. Neuroscience profile →
  3. Bursts as a unit of neural information: making unreliable synapses reliable
    1997 1.1k citations John Lisman profile →
  4. The Theta-Gamma Neural Code
    2013 1.1k citations John Lisman, Ole Jensen Neuron profile →
  5. A mechanism for the Hebb and the anti-Hebb processes underlying learning and memory.
    1989 838 citations John Lisman Proceedings of the National Academy of Sciences profile →
  6. Mechanisms of CaMKII action in long-term potentiation
    2012 831 citations John Lisman et al. Nature reviews. Neuroscience profile →
  7. Circuit-based framework for understanding neurotransmitter and risk gene interactions in schizophrenia
    2008 791 citations John Lisman et al. profile →
  8. Gating of Human Theta Oscillations by a Working Memory Task
    2001 591 citations John Lisman et al. Journal of Neuroscience profile →
  9. Viewpoints: how the hippocampus contributes to memory, navigation and cognition
    2017 546 citations John Lisman et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Lisman United States 78 17.6k 14.3k 7.8k 1.9k 1.4k 188 25.0k
Rafael Yuste United States 90 17.6k 1.0× 12.2k 0.9× 6.2k 0.8× 1.5k 0.8× 1.7k 1.3× 275 25.1k
Michael P. Stryker United States 76 13.5k 0.8× 13.0k 0.9× 6.7k 0.9× 1.8k 0.9× 668 0.5× 157 21.2k
Daniel Johnston United States 74 15.7k 0.9× 9.8k 0.7× 7.5k 1.0× 1.2k 0.6× 1.2k 0.9× 162 18.6k
David A. McCormick United States 97 23.4k 1.3× 24.6k 1.7× 8.1k 1.0× 3.4k 1.8× 1.3k 1.0× 200 36.8k
Péter Jónás Germany 67 15.2k 0.9× 9.0k 0.6× 7.2k 0.9× 1.9k 1.0× 673 0.5× 138 18.4k
Gina G. Turrigiano United States 62 14.8k 0.8× 11.3k 0.8× 5.7k 0.7× 2.1k 1.1× 3.0k 2.2× 106 19.9k
T.V.P. Bliss United Kingdom 38 17.9k 1.0× 10.2k 0.7× 7.5k 1.0× 3.6k 1.9× 915 0.7× 72 22.6k
Wade G. Regehr United States 68 14.2k 0.8× 7.4k 0.5× 6.8k 0.9× 2.1k 1.1× 2.7k 2.0× 142 19.1k
Tobias Bonhoeffer Germany 74 14.4k 0.8× 8.8k 0.6× 5.6k 0.7× 1.9k 1.0× 747 0.6× 149 20.6k
Gordon M. Shepherd United States 81 13.5k 0.8× 7.0k 0.5× 3.4k 0.4× 1.7k 0.9× 692 0.5× 259 21.0k

Countries citing papers authored by John Lisman

Since Specialization
Citations

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

Fields of papers citing papers by John Lisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Lisman

This figure shows the co-authorship network connecting the top 25 collaborators of John Lisman. A scholar is included among the top collaborators of John Lisman 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 John Lisman. John Lisman 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.
Katz, Donald B., et al.. (2021). Parametric shift from rational to irrational decisions in mice. Scientific Reports. 11(1). 480–480. 1 indexed citations
2.
Sanders, Honi, Daoyun Ji, Takuya Sasaki, et al.. (2018). Temporal coding and rate remapping: Representation of nonspatial information in the hippocampus. Hippocampus. 29(2). 111–127. 25 indexed citations
3.
Sasaki, Takuya, Verónica C. Piatti, Ernie Hwaun, et al.. (2018). Dentate network activity is necessary for spatial working memory by supporting CA3 sharp-wave ripple generation and prospective firing of CA3 neurons. Nature Neuroscience. 21(2). 258–269. 80 indexed citations
4.
Lisman, John. (2017). Criteria for identifying the molecular basis of the engram (CaMKII, PKMzeta). Molecular Brain. 10(1). 55–55. 45 indexed citations
5.
Liu, Kang K. L., Michael F. Hagan, & John Lisman. (2017). Gradation (approx. 10 size states) of synaptic strength by quantal addition of structural modules. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1715). 20160328–20160328. 21 indexed citations
6.
Lisman, John. (2017). Glutamatergic synapses are structurally and biochemically complex because of multiple plasticity processes: long-term potentiation, long-term depression, short-term potentiation and scaling. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1715). 20160260–20160260. 117 indexed citations
7.
Keck, Tara, Taro Toyoizumi, Lu Chen, et al.. (2017). Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1715). 20160158–20160158. 130 indexed citations
8.
Richard, Edwin A., et al.. (2016). Potential synergistic action of 19 schizophrenia risk genes in the thalamus. Schizophrenia Research. 180. 64–69. 12 indexed citations
9.
10.
Lisman, John & Ole Jensen. (2013). The Theta-Gamma Neural Code. Neuron. 77(6). 1002–1016. 1071 indexed citations breakdown →
11.
Otmakhov, Nikolai, et al.. (2010). CaMKII control of spine size and synaptic strength: Role of phosphorylation states and nonenzymatic action. Proceedings of the National Academy of Sciences. 107(32). 14437–14442. 77 indexed citations
12.
Asrican, Brent, John Lisman, & Nikolai Otmakhov. (2007). Synaptic Strength of Individual Spines Correlates with Bound Ca2+–Calmodulin-Dependent Kinase II. Journal of Neuroscience. 27(51). 14007–14011. 76 indexed citations
13.
Richard, Edwin A., et al.. (2006). Testing the role of calmodulin in the excitation of Limulus photoreceptors. Neuroscience Letters. 406(1-2). 6–10. 3 indexed citations
14.
Lisman, John, Howard Schulman, & Hollis T. Cline. (2002). The molecular basis of CaMKII function in synaptic and behavioural memory. Nature reviews. Neuroscience. 3(3). 175–190. 1450 indexed citations breakdown →
15.
Jensen, Ole & John Lisman. (1997). The importance of hippocampal gamma oscillation for place cells: a model that accounts for phase precession and spatial shift. 683–689. 3 indexed citations
16.
Kirkwood, Alfredo & John Lisman. (1994). Determinants of single photon response variability.. The Journal of General Physiology. 103(4). 679–690. 9 indexed citations
17.
Fain, Gordon & John Lisman. (1993). Photoreceptor Degeneration in Vitamin A Deprivation and Retinitis Pigmentosa: the Equivalent Light Hypothesis. Experimental Eye Research. 57(3). 335–340. 105 indexed citations
18.
Johnson, Edwin C., Juan Bacigalupo, Cecilia Vergara, & John Lisman. (1991). Multiple conductance states of the light-activated channel of Limulus ventral photoreceptors. Alteration of conductance state during light.. The Journal of General Physiology. 97(6). 1187–1205. 10 indexed citations
19.
Lisman, John, Gordon Fain, & Peter M. O’Day. (1982). Voltage-dependent conductances in Limulus ventral photoreceptors.. The Journal of General Physiology. 79(2). 187–209. 40 indexed citations
20.
Lisman, John & J. E. Brown. (1971). Two Light-Induced Processes in the Photoreceptor Cells of Limulus Ventral Eye. The Journal of General Physiology. 58(5). 544–561. 56 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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