John C. Williams

1.1k total citations
37 papers, 729 citations indexed

About

John C. Williams is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Finance. According to data from OpenAlex, John C. Williams has authored 37 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Finance. Recurrent topics in John C. Williams's work include Neural dynamics and brain function (10 papers), Photoreceptor and optogenetics research (10 papers) and Neuroscience and Neural Engineering (10 papers). John C. Williams is often cited by papers focused on Neural dynamics and brain function (10 papers), Photoreceptor and optogenetics research (10 papers) and Neuroscience and Neural Engineering (10 papers). John C. Williams collaborates with scholars based in United States, Australia and Canada. John C. Williams's co-authors include Emilia Entcheva, Christina M. Ambrosi, Susan Curtis, Aleksandra Klimas, B. L. Browning, Natalia A. Trayanova, Patrick M. Boyle, Harold Bien, Xuxin Chen and Ira S. Cohen and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

John C. Williams

31 papers receiving 662 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John C. Williams United States	13	353	146	97	93	66	37	729
Colleen Schneider United States	7	100 0.3×	95 0.7×	13 0.1×	67 0.7×	5 0.1×	18	426
Michael O’Donoghue United Kingdom	16	111 0.3×	131 0.9×	10 0.1×	50 0.5×	7 0.1×	44	890
Martı́n Martı́nez Spain	17	57 0.2×	82 0.6×	57 0.6×	99 1.1×	17 0.3×	41	586
Donald M. Scott United States	17	185 0.5×	108 0.7×	31 0.3×	70 0.8×	15 0.2×	31	709
Joachim Werner Germany	11	15 0.0×	191 1.3×	12 0.1×	16 0.2×	10 0.2×	55	469
Eran Klein United States	18	275 0.8×	487 3.3×	31 0.3×	32 0.3×	18 0.3×	67	944
Jennifer Lee United States	13	107 0.3×	64 0.4×	11 0.1×	65 0.7×	11 0.2×	34	462
Chelsea Sanders United States	12	139 0.4×	71 0.5×	134 1.4×	111 1.2×	5 0.1×	22	629
Eve H. Limbrick‐Oldfield United Kingdom	13	64 0.2×	131 0.9×	10 0.1×	28 0.3×	10 0.2×	35	600
Lorenz J. Finison United States	17	107 0.3×	6 0.0×	85 0.9×	135 1.5×	44 0.7×	27	957

Countries citing papers authored by John C. Williams

Since Specialization

Citations

This map shows the geographic impact of John C. Williams'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. Williams 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. Williams more than expected).

Fields of papers citing papers by John C. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Williams, John C., et al.. (2025). Tale of Two n ‐Backs: Diverging Associations of Dorsolateral Prefrontal Cortex Activation With n ‐Back Task Performance. Journal of Neuroscience Research. 103(2). e70021–e70021.

Williams, John C., et al.. (2024). Congenital aural atresia in a 4‐month‐old Dalmatian. Veterinary Record Case Reports. 12(3).

Williams, John C., et al.. (2024). Characterization and Mitigation of a Simultaneous Multi‐Slice fMRI Artifact: Multiband Artifact Regression in Simultaneous Slices. Human Brain Mapping. 45(16). e70066–e70066. 1 indexed citations

Williams, John C., et al.. (2024). Functional localization of the human auditory and visual thalamus using a thalamic localizer functional magnetic resonance imaging task. Imaging Neuroscience. 2. 2 indexed citations

Williams, John C., Roberto Gil, Ragy R. Girgis, et al.. (2022). Medial Prefrontal Cortex Dysfunction Mediates Working Memory Deficits in Patients With Schizophrenia. Biological Psychiatry Global Open Science. 3(4). 990–1002. 3 indexed citations

Moeller, Scott J., Roberto Gil, Jodi J. Weinstein, et al.. (2022). Deep rTMS of the insula and prefrontal cortex in smokers with schizophrenia: Proof-of-concept study. SHILAP Revista de lepidopterología. 8(1). 6–6. 18 indexed citations

Williams, John C., et al.. (2022). Advancing motion denoising of multiband resting-state functional connectivity fMRI data. NeuroImage. 249. 118907–118907. 9 indexed citations

Boyle, Patrick M., et al.. (2021). OptoGap is an optogenetics-enabled assay for quantification of cell–cell coupling in multicellular cardiac tissue. Scientific Reports. 11(1). 9310–9310. 12 indexed citations

Williams, John C. & O.R. Evans. (2019). The Influence of Insulation Materials on Corrosion under Insulation. 1–25. 5 indexed citations

10.

Williams, John C., Jie Yang, J. John Mann, et al.. (2017). Relations between cortical thickness, serotonin 1A receptor binding, and structural connectivity: A multimodal imaging study. Human Brain Mapping. 39(2). 1043–1055. 13 indexed citations

11.

Klimas, Aleksandra, et al.. (2016). OptoDyCE as an automated system for high-throughput all-optical dynamic cardiac electrophysiology. Nature Communications. 7(1). 11542–11542. 113 indexed citations

12.

Williams, John C. & Emilia Entcheva. (2015). Optogenetic versus Electrical Stimulation of Human Cardiomyocytes: Modeling Insights. Biophysical Journal. 108(8). 1934–1945. 45 indexed citations

13.

Ambrosi, Christina M., John C. Williams, & Emilia Entcheva. (2014). Abstract 19856: Optogenetic Modulation of Pacemaking, Arrhythmia Generation, and Inhibition with Sustained (Non-pulsed) Light. Circulation. 130. 2 indexed citations

14.

Boyle, Patrick M., John C. Williams, Christina M. Ambrosi, Emilia Entcheva, & Natalia A. Trayanova. (2013). A comprehensive multiscale framework for simulating optogenetics in the heart. Nature Communications. 4(1). 2370–2370. 92 indexed citations

15.

Williams, John C., Jianjin Xu, Zhongju Lu, et al.. (2013). Computational Optogenetics: Empirically-Derived Voltage- and Light-Sensitive Channelrhodopsin-2 Model. PLoS Computational Biology. 9(9). e1003220–e1003220. 110 indexed citations

16.

Boyle, Patrick M., John C. Williams, Emilia Entcheva, & Natalia A. Trayanova. (2012). A computational framework for simulating cardiac optogenetics. Computing in Cardiology. 5–8. 1 indexed citations

17.

Levin, Andrew, et al.. (2003). Robust Monetary Policy with Competing Reference Models. Federal Reserve Bank of San Francisco, Working Paper Series. 1.000–38.000. 47 indexed citations

18.

Orphanides, Athanasios, et al.. (2002). Robust Monetary Policy Rules with Unknown Natural Rates. Federal Reserve Bank of San Francisco, Working Paper Series. 2003(1). 1–67. 1 indexed citations

19.

Gilchrist, Simon, et al.. (2002). Investment, Capacity, and Uncertainty: A Putty-Clay Approach. Federal Reserve Bank of San Francisco, Working Paper Series. 1.000–36.000. 2 indexed citations

20.

Williams, John C.. (1960). Accidents and ill-health at work. 5 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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