Christopher J. Kimble

801 total citations
16 papers, 614 citations indexed

About

Christopher J. Kimble is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Christopher J. Kimble has authored 16 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 11 papers in Neurology and 3 papers in Cognitive Neuroscience. Recurrent topics in Christopher J. Kimble's work include Neuroscience and Neural Engineering (12 papers), Neurological disorders and treatments (11 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Christopher J. Kimble is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Neurological disorders and treatments (11 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Christopher J. Kimble collaborates with scholars based in United States and South Korea. Christopher J. Kimble's co-authors include Kendall H. Lee, Kevin E. Bennet, Su-Youne Chang, Charles D. Blaha, Paul A. Garris, Susannah J. Tye, Stephan J. Goerss, Jamie J. Van Gompel, Dong Pyo Jang and In Kim and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and Mayo Clinic Proceedings.

In The Last Decade

Christopher J. Kimble

15 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher J. Kimble United States	12	422	272	182	128	97	16	614
Yoonbae Oh United States	16	378 0.9×	182 0.7×	243 1.3×	205 1.6×	112 1.2×	47	727
Kate L. Parent United States	12	232 0.5×	61 0.2×	114 0.6×	125 1.0×	56 0.6×	13	395
Jelena Petrović Serbia	11	221 0.5×	58 0.2×	131 0.7×	93 0.7×	158 1.6×	21	416
J. Luis Luján United States	16	426 1.0×	415 1.5×	64 0.4×	40 0.3×	234 2.4×	31	764
Kevin M. Wood United States	11	297 0.7×	44 0.2×	129 0.7×	114 0.9×	80 0.8×	12	613
Elaine M. Robbins United States	14	384 0.9×	54 0.2×	222 1.2×	122 1.0×	75 0.8×	26	682
Evon S. Ereifej United States	15	394 0.9×	57 0.2×	162 0.9×	34 0.3×	186 1.9×	28	634
André Mercanzini Switzerland	8	327 0.8×	75 0.3×	125 0.7×	28 0.2×	160 1.6×	13	439
Evan N. Nicolai United States	11	271 0.6×	66 0.2×	66 0.4×	45 0.4×	136 1.4×	18	422
Joseph W. Salatino United States	6	560 1.3×	42 0.2×	162 0.9×	43 0.3×	263 2.7×	9	640

Countries citing papers authored by Christopher J. Kimble

Since Specialization

Citations

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

Fields of papers citing papers by Christopher J. Kimble

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Kimble. 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 Christopher J. Kimble. The network helps show where Christopher J. Kimble may publish in the future.

Co-authorship network of co-authors of Christopher J. Kimble

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Rusheen, Aaron E., Hojin Shin, Su-Youne Chang, et al.. (2020). Clinical applications of neurochemical and electrophysiological measurements for closed-loop neurostimulation. Neurosurgical FOCUS. 49(1). E6–E6. 36 indexed citations

Marsh, Michael P., Seth A. Hara, Christopher J. Kimble, et al.. (2017). Instrumentation for electrochemical performance characterization of neural electrodes. Review of Scientific Instruments. 88(8). 85101–85101.

Kimble, Christopher J., et al.. (2017). Multifunctional system for observing, measuring and analyzing stimulation-evoked neurochemical signaling. PubMed. 2017. 349–354. 2 indexed citations

Lee, Kendall H., J. Luis Luján, James K. Trevathan, et al.. (2017). WINCS Harmoni: Closed-loop dynamic neurochemical control of therapeutic interventions. Scientific Reports. 7(1). 46675–46675. 54 indexed citations

Grahn, Peter J., Kendall H. Lee, Aimen Kasasbeh, et al.. (2014). Wireless control of intraspinal microstimulation in a rodent model of paralysis. Journal of neurosurgery. 123(1). 232–242. 8 indexed citations

Chang, Su-Youne, Christopher J. Kimble, Inyong Kim, et al.. (2013). Development of the Mayo Investigational Neuromodulation Control System: toward a closed-loop electrochemical feedback system for deep brain stimulation. Journal of neurosurgery. 119(6). 1556–1565. 56 indexed citations

Jang, Dong Pyo, Inyong Kim, Su-Youne Chang, et al.. (2012). Paired pulse voltammetry for differentiating complex analytes. The Analyst. 137(6). 1428–1428. 22 indexed citations

Chang, Su-Youne, Inyong Kim, Michael P. Marsh, et al.. (2012). Wireless Fast-Scan Cyclic Voltammetry to Monitor Adenosine in Patients With Essential Tremor During Deep Brain Stimulation. Mayo Clinic Proceedings. 87(8). 760–765. 76 indexed citations

Lee, Kendall H., Su-Youne Chang, Dong‐Pyo Jang, et al.. (2011). Emerging techniques for elucidating mechanism of action of deep brain stimulation. PubMed. 2011. 677–80. 15 indexed citations

10.

Koehne, Jessica E., Michael Marsh, In Kim, et al.. (2011). Carbon nanofiber electrode array for electrochemical detection of dopamine using fast scan cyclic voltammetry. The Analyst. 136(9). 1802–1802. 83 indexed citations

11.

Griessenauer, Christoph J., Su-Youne Chang, Susannah J. Tye, et al.. (2010). Wireless Instantaneous Neurotransmitter Concentration System: electrochemical monitoring of serotonin using fast-scan cyclic voltammetry—a proof-of-principle study. Journal of neurosurgery. 113(3). 656–665. 44 indexed citations

12.

Gompel, Jamie J. Van, Su-Youne Chang, Stephan J. Goerss, et al.. (2010). Development of intraoperative electrochemical detection: wireless instantaneous neurochemical concentration sensor for deep brain stimulation feedback. Neurosurgical FOCUS. 29(2). E6–E6. 50 indexed citations

13.

Shon, Young‐Min, Su-Youne Chang, Susannah J. Tye, et al.. (2009). Comonitoring of adenosine and dopamine using the Wireless Instantaneous Neurotransmitter Concentration System: proof of principle. Journal of neurosurgery. 112(3). 539–548. 47 indexed citations

14.

Bledsoe, Jonathan M., Christopher J. Kimble, Daniel P. Covey, et al.. (2009). Development of the Wireless Instantaneous Neurotransmitter Concentration System for intraoperative neurochemical monitoring using fast-scan cyclic voltammetry. Journal of neurosurgery. 111(4). 712–723. 60 indexed citations

15.

Agnesi, Filippo, Susannah J. Tye, Jonathan M. Bledsoe, et al.. (2009). Wireless Instantaneous Neurotransmitter Concentration System–based amperometric detection of dopamine, adenosine, and glutamate for intraoperative neurochemical monitoring. Journal of neurosurgery. 111(4). 701–711. 54 indexed citations

16.

Kimble, Christopher J., et al.. (2002). Reasoning in corporate memory systems: a case study of group competencies. 7 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.

Explore authors with similar magnitude of impact