John C. Bowler

884 total citations
9 papers, 435 citations indexed

About

John C. Bowler is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, John C. Bowler has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 2 papers in Neurology. Recurrent topics in John C. Bowler's work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (4 papers). John C. Bowler is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (4 papers). John C. Bowler collaborates with scholars based in United States, Switzerland and Germany. John C. Bowler's co-authors include Attila Losonczy, Jeffrey D. Zaremba, Nathan Danielson, Patrick Kaifosh, Max Ladow, Fraser T. Sparks, James B. Priestley, Stefano Fusi, Andres Grosmark and Sebi V. Rolotti and has published in prestigious journals such as Neuron, Nature Neuroscience and Cell Reports.

In The Last Decade

John C. Bowler

8 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John C. Bowler United States	6	360	357	82	57	27	9	435
Max Ladow United States	5	358 1.0×	390 1.1×	79 1.0×	63 1.1×	49 1.8×	6	476
Tristan Geiller United States	13	499 1.4×	546 1.5×	92 1.1×	99 1.7×	25 0.9×	16	662
Spyridon Chavlis Greece	9	342 0.9×	356 1.0×	71 0.9×	60 1.1×	51 1.9×	15	480
Muye Zhu United States	5	286 0.8×	323 0.9×	52 0.6×	129 2.3×	30 1.1×	5	552
Sachin P Vaidya United States	6	485 1.3×	535 1.5×	60 0.7×	132 2.3×	23 0.9×	6	652
Hiroaki Norimoto Japan	12	401 1.1×	355 1.0×	38 0.5×	63 1.1×	24 0.9×	21	532
Bruno Rivard United States	6	272 0.8×	327 0.9×	40 0.5×	72 1.3×	26 1.0×	7	402
Edith Lesburguères United States	6	273 0.8×	290 0.8×	69 0.8×	110 1.9×	27 1.0×	8	427
James B. Priestley United States	7	313 0.9×	310 0.9×	59 0.7×	51 0.9×	12 0.4×	8	407
Sanja Mikulovic Sweden	11	312 0.9×	427 1.2×	78 1.0×	161 2.8×	17 0.6×	15	531

Countries citing papers authored by John C. Bowler

Since Specialization

Citations

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

Fields of papers citing papers by John C. Bowler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John C. Bowler

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

All Works

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9 of 9 papers shown

1.

Bowler, John C., et al.. (2024). Medial entorhinal cortex mediates learning of context-dependent interval timing behavior. Nature Neuroscience. 27(8). 1587–1598. 2 indexed citations

2.

Bowler, John C., et al.. (2024). An Intranet of Things approach for adaptable control of behavioral and navigation-based experiments. eLife. 13. 1 indexed citations

3.

Bowler, John C. & Attila Losonczy. (2023). Direct cortical inputs to hippocampal area CA1 transmit complementary signals for goal-directed navigation. Neuron. 111(24). 4071–4085.e6. 19 indexed citations

4.

Priestley, James B., John C. Bowler, Sebi V. Rolotti, Stefano Fusi, & Attila Losonczy. (2022). Signatures of rapid plasticity in hippocampal CA1 representations during novel experiences. Neuron. 110(12). 1978–1992.e6. 54 indexed citations

5.

Tuncdemir, Sebnem N., Andres Grosmark, Gergely F. Turi, et al.. (2022). Parallel processing of sensory cue and spatial information in the dentate gyrus. Cell Reports. 38(3). 110257–110257. 24 indexed citations

6.

Dudok, Barna, Peter Klein, Ernie Hwaun, et al.. (2021). Alternating sources of perisomatic inhibition during behavior. Neuron. 109(6). 997–1012.e9. 70 indexed citations

7.

Zaremba, Jeffrey D., Anastasia Diamantopoulou, Nathan Danielson, et al.. (2017). Impaired hippocampal place cell dynamics in a mouse model of the 22q11.2 deletion. Nature Neuroscience. 20(11). 1612–1623. 82 indexed citations

8.

Danielson, Nathan, Jeffrey D. Zaremba, Patrick Kaifosh, et al.. (2016). Sublayer-Specific Coding Dynamics during Spatial Navigation and Learning in Hippocampal Area CA1. Neuron. 91(3). 652–665. 183 indexed citations

9.

Bowler, John C., et al.. (2015). Automated Axon Segmentation from Highly Noisy Microscopic Videos. 22. 915–920.

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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