Jack Waters

8.1k total citations
55 papers, 2.9k citations indexed

About

Jack Waters is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jack Waters has authored 55 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 24 papers in Cognitive Neuroscience and 20 papers in Molecular Biology. Recurrent topics in Jack Waters's work include Neuroscience and Neuropharmacology Research (25 papers), Neural dynamics and brain function (21 papers) and Photoreceptor and optogenetics research (13 papers). Jack Waters is often cited by papers focused on Neuroscience and Neuropharmacology Research (25 papers), Neural dynamics and brain function (21 papers) and Photoreceptor and optogenetics research (13 papers). Jack Waters collaborates with scholars based in United States, Germany and United Kingdom. Jack Waters's co-authors include Fritjof Helmchen, Bert Sakmann, Matthew E. Larkum, Rylan S. Larsen, Abigail Kalmbach, Stephen J Smith, Pavel Osten, Winfried Denk, Axel Nimmerjahn and Tanjew Dittgen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Jack Waters

53 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack Waters United States 29 1.8k 1.4k 976 340 276 55 2.9k
Alison L. Barth United States 30 2.6k 1.4× 1.9k 1.4× 1.1k 1.2× 177 0.5× 157 0.6× 70 3.7k
Luis Carrillo‐Reid Mexico 21 2.0k 1.1× 1.2k 0.9× 1.4k 1.4× 245 0.7× 196 0.7× 34 3.2k
Da‐Ting Lin United States 23 1.5k 0.8× 615 0.4× 1.1k 1.1× 202 0.6× 216 0.8× 60 2.5k
Knut Holthoff Germany 22 1.9k 1.1× 1.1k 0.8× 837 0.9× 345 1.0× 147 0.5× 46 2.7k
Ruth Benavides‐Piccione Spain 25 1.4k 0.7× 1.2k 0.9× 621 0.6× 254 0.7× 270 1.0× 67 2.5k
Jinhyun Kim South Korea 24 1.7k 0.9× 1.1k 0.8× 1.1k 1.1× 333 1.0× 87 0.3× 54 2.9k
Jun Noguchi Japan 28 2.8k 1.5× 1.1k 0.8× 1.2k 1.3× 227 0.7× 347 1.3× 45 4.1k
Nathalie L. Rochefort Germany 24 1.6k 0.9× 1.5k 1.1× 510 0.5× 209 0.6× 172 0.6× 33 2.4k
Edward S. Ruthazer Canada 33 2.2k 1.2× 940 0.7× 1.3k 1.4× 162 0.5× 183 0.7× 72 3.4k
Tara Keck United Kingdom 16 1.5k 0.8× 1.2k 0.8× 589 0.6× 349 1.0× 139 0.5× 20 2.5k

Countries citing papers authored by Jack Waters

Since Specialization
Citations

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

Fields of papers citing papers by Jack Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack Waters

This figure shows the co-authorship network connecting the top 25 collaborators of Jack Waters. A scholar is included among the top collaborators of Jack Waters 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 Jack Waters. Jack Waters 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.
Stamenković, Stefan, Franca Schmid, Kevin Takasaki, et al.. (2025). Impaired capillary–venous drainage contributes to gliosis and demyelination in mouse white matter during aging. Nature Neuroscience. 28(9). 1868–1882. 2 indexed citations
2.
Prevedel, Robert, Jason N. D. Kerr, Jack Waters, et al.. (2025). Three-photon microscopy: an emerging technique for deep intravital brain imaging. Nature reviews. Neuroscience. 26(9). 521–537.
3.
Stamenković, Stefan, Yuandong Li, Jack Waters, & Andy Y. Shih. (2023). Deep Imaging to Dissect Microvascular Contributions to White Matter Degeneration in Rodent Models of Dementia. Stroke. 54(5). 1403–1415. 8 indexed citations
4.
Zhuang, Jun, Yun Wang, Rylan S. Larsen, et al.. (2021). Laminar distribution and arbor density of two functional classes of thalamic inputs to primary visual cortex. Cell Reports. 37(2). 109826–109826. 4 indexed citations
5.
Waters, Jack, et al.. (2021). The Effect of Inclusion Criteria on the Functional Properties Reported in Mouse Visual Cortex. eNeuro. 8(1). ENEURO.0188–20.2021. 6 indexed citations
6.
Takasaki, Kevin, Reza Abbasi-Asl, & Jack Waters. (2020). Superficial Bound of the Depth Limit of Two-Photon Imaging in Mouse Brain. eNeuro. 7(1). ENEURO.0255–19.2019. 51 indexed citations
7.
Valley, Matthew T., M. G. Moore, Jun Zhuang, et al.. (2019). Separation of hemodynamic signals from GCaMP fluorescence measured with wide-field imaging. Journal of Neurophysiology. 123(1). 356–366. 47 indexed citations
8.
Takasaki, Kevin, Dmitri Tsyboulski, & Jack Waters. (2019). Dual-plane 3-photon microscopy with remote focusing. Biomedical Optics Express. 10(11). 5585–5585. 13 indexed citations
9.
Waters, Jack, Eric Lee, Nathalie Gaudreault, et al.. (2019). Biological variation in the sizes, shapes and locations of visual cortical areas in the mouse. PLoS ONE. 14(5). e0213924–e0213924. 13 indexed citations
10.
Larsen, Rylan S. & Jack Waters. (2018). Neuromodulatory Correlates of Pupil Dilation. Frontiers in Neural Circuits. 12. 21–21. 161 indexed citations
11.
Buggia-Prévot, Virginie, Celia Fernandez, Sean M. Riordan, et al.. (2014). Axonal BACE1 dynamics and targeting in hippocampal neurons: a role for Rab11 GTPase. Molecular Neurodegeneration. 9(1). 1–1. 159 indexed citations
12.
Takada, Naoki, Vitor H. Sousa, Jack Waters, et al.. (2014). A developmental cell-type switch in cortical interneurons leads to a selective defect in cortical oscillations. Nature Communications. 5(1). 5333–5333. 35 indexed citations
13.
Srivastava, Deepak P., Kelly A. Jones, Kevin M. Woolfrey, et al.. (2012). Social, Communication, and Cortical Structural Impairments in Epac2-Deficient Mice. Journal of Neuroscience. 32(34). 11864–11878. 57 indexed citations
14.
Waters, Jack, et al.. (2012). Effect of temperature on spiking patterns of neocortical layer 2/3 and layer 6 pyramidal neurons. Frontiers in Neural Circuits. 6. 28–28. 19 indexed citations
15.
Wykes, Robert C., Abigail Kalmbach, Marina Eliava, & Jack Waters. (2011). Changes in the physiology of CA1 hippocampal pyramidal neurons in preplaque CRND8 mice. Neurobiology of Aging. 33(8). 1609–1623. 24 indexed citations
16.
17.
Waters, Jack. (2007). Back to basals: do basal dendrites link plateau potentials and Up states?. The Journal of Physiology. 585(2). 317–317. 1 indexed citations
18.
Waters, Jack, Andreas T. Schaefer, & Bert Sakmann. (2004). Backpropagating action potentials in neurones: measurement, mechanisms and potential functions. Progress in Biophysics and Molecular Biology. 87(1). 145–170. 126 indexed citations
19.
Hasan, Mazahir T., Rainer W. Friedrich, Thomas Euler, et al.. (2004). Functional Fluorescent Ca2+ Indicator Proteins in Transgenic Mice under TET Control. PLoS Biology. 2(6). e163–e163. 196 indexed citations
20.
Broser, Philip J., Susanne Lang, Arnd Roth, et al.. (2004). Nonlinear anisotropic diffusion filtering of three-dimensional image data from two-photon microscopy. Journal of Biomedical Optics. 9(6). 1253–1253. 50 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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