Kerry D. Walton

3.9k total citations · 1 hit paper
39 papers, 3.1k citations indexed

About

Kerry D. Walton is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Kerry D. Walton has authored 39 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 16 papers in Cognitive Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Kerry D. Walton's work include Neuroscience and Neural Engineering (15 papers), Neural dynamics and brain function (11 papers) and Photoreceptor and optogenetics research (9 papers). Kerry D. Walton is often cited by papers focused on Neuroscience and Neural Engineering (15 papers), Neural dynamics and brain function (11 papers) and Photoreceptor and optogenetics research (9 papers). Kerry D. Walton collaborates with scholars based in United States, Russia and Japan. Kerry D. Walton's co-authors include Izchak Z. Steinberg, R. Llinás, Rodolfo Llinás, Barbara Fulton, Rodolfó R. Llinás, Dean E. Hillman, Constantino Sotelo, Vilhelm A. Bohr, Michel Y. Dubois and Donald M. Maynard and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Physiology.

In The Last Decade

Kerry D. Walton

39 papers receiving 2.9k citations

Hit Papers

Relationship between presynaptic calcium current and post... 1981 2026 1996 2011 1981 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerry D. Walton United States 23 1.9k 1.3k 775 423 420 39 3.1k
Laurent Vinay France 34 1.7k 0.9× 936 0.7× 579 0.7× 366 0.9× 867 2.1× 68 3.3k
Martin K. Schwarz Germany 32 2.0k 1.1× 1.7k 1.3× 942 1.2× 305 0.7× 307 0.7× 69 4.4k
M. Kuno Japan 40 2.7k 1.4× 1.3k 1.0× 816 1.1× 517 1.2× 308 0.7× 83 4.1k
Yugo Fukazawa Japan 38 3.4k 1.8× 2.2k 1.7× 1.1k 1.4× 823 1.9× 429 1.0× 125 5.3k
Simon Alford United States 30 2.3k 1.2× 1.6k 1.2× 850 1.1× 258 0.6× 1.0k 2.4× 82 3.3k
Matthew S. Grubb United Kingdom 24 2.6k 1.4× 1.2k 0.9× 1.4k 1.8× 603 1.4× 272 0.6× 37 4.2k
Laura Cancedda Italy 34 2.5k 1.3× 1.9k 1.5× 912 1.2× 356 0.8× 446 1.1× 73 4.4k
Pietro Baldelli Italy 40 2.3k 1.2× 1.9k 1.5× 562 0.7× 260 0.6× 685 1.6× 83 3.9k
Kurt Gottmann Germany 30 3.1k 1.6× 2.0k 1.6× 807 1.0× 565 1.3× 569 1.4× 70 4.5k
G. ten Bruggencate Germany 35 2.8k 1.5× 1.8k 1.4× 898 1.2× 588 1.4× 121 0.3× 91 3.9k

Countries citing papers authored by Kerry D. Walton

Since Specialization
Citations

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

Fields of papers citing papers by Kerry D. Walton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kerry D. Walton. 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 Kerry D. Walton. The network helps show where Kerry D. Walton may publish in the future.

Co-authorship network of co-authors of Kerry D. Walton

This figure shows the co-authorship network connecting the top 25 collaborators of Kerry D. Walton. A scholar is included among the top collaborators of Kerry D. Walton 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 Kerry D. Walton. Kerry D. Walton 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
2.
Walton, Kerry D., et al.. (2019). Data from "Noninvasive muscle activity imaging using magnetography". OSF Preprints (OSF Preprints). 2 indexed citations
3.
Walton, Kerry D., et al.. (2018). Estimation of the Directions of Alpha Rhythm Elementary Sources Using the Method of Human Brain Functional Tomography Based On the Magnetic Encephalography Data. Mathematical Biology and Bioinformatics. 13(2). 426–436. 3 indexed citations
4.
Walton, Kerry D., et al.. (2017). Differential Modulation of Rhythmic Brain Activity in Healthy Adults by a T-Type Calcium Channel Blocker: An MEG Study. Frontiers in Human Neuroscience. 11. 24–24. 6 indexed citations
5.
Llinás, Rodolfó R., et al.. (2015). Reconstruction of human brain spontaneous activity based on frequency-pattern analysis of magnetoencephalography data. Frontiers in Neuroscience. 9. 373–373. 27 indexed citations
6.
Choi, Soonwook, Eunah Yu, Ajmal Zemmar, et al.. (2014). Enhanced synaptic transmission at the squid giant synapse by artificial seawater based on physically modified saline. Frontiers in Synaptic Neuroscience. 6. 2–2. 15 indexed citations
7.
Walton, Kerry D., Michel Y. Dubois, & Rodolfó R. Llinás. (2010). Abnormal thalamocortical activity in patients with Complex Regional Pain Syndrome (CRPS) Type I. Pain. 150(1). 41–51. 131 indexed citations
8.
Takahashi, Hirokazu, et al.. (2009). Intravascular neural interface with nanowire electrode. Electronics and Communications in Japan. 92(7). 29–37. 31 indexed citations
9.
Berk, William A., et al.. (2009). Oral Administration of Pharmacologically Active Substances to Squid: A Methodological Description. Biological Bulletin. 216(1). 1–6. 7 indexed citations
10.
García‐Rill, Edgar, et al.. (2007). Magnetic sources of the M50 response are localized to frontal cortex. Clinical Neurophysiology. 119(2). 388–398. 34 indexed citations
11.
Laczkó, József, et al.. (2006). A neuro-mechanical transducer model for controlling joint rotations and limb movements.. PubMed. 59(1-2). 32–43. 7 indexed citations
12.
Walton, Kerry D., et al.. (2005). The effects of microgravity on the development of surface righting in rats. The Journal of Physiology. 565(2). 593–608. 41 indexed citations
13.
Walton, Kerry D., Rodolfó R. Llinás, Robert G. Kalb, et al.. (2003). Motor System Development Depends on Experience: A Microgravity Study of Rats. NASA Technical Reports Server (NASA). 6. 45–45. 2 indexed citations
14.
Walton, Kerry D.. (1998). Postnatal development under conditions of simulated weightlessness and space flight. Brain Research Reviews. 28(1-2). 25–34. 34 indexed citations
15.
Mühlethaler, Michel, Marco de Curtis, Kerry D. Walton, & R. Llinás. (1993). The Isolated and Perfused Brain of the Guinea‐pig In Vitro. European Journal of Neuroscience. 5(7). 915–926. 126 indexed citations
16.
Walton, Kerry D., et al.. (1992). Identification of a critical period for motor development in neonatal rats. Neuroscience. 51(4). 763–767. 84 indexed citations
17.
Walton, Kerry D. & Mitchell Chesler. (1988). Activity-related extracellular potassium transients in the neonatal rat spinal cord: An in vitro study. Neuroscience. 25(3). 983–995. 22 indexed citations
18.
Llinás, R., Mutsuyuki Sugimori, & Kerry D. Walton. (1987). Further Studies on Depolarization Release Coupling in Squid Giant Synapse. Advances in experimental medicine and biology. 221. 1–17. 8 indexed citations
19.
Walton, Kerry D. & Barbara Fulton. (1986). Ionic mechanisms underlying the firing properties of rat neonatal motoneurons studied in vitro. Neuroscience. 19(3). 669–683. 94 indexed citations
20.
Llinás, R., Izchak Z. Steinberg, & Kerry D. Walton. (1981). Relationship between presynaptic calcium current and postsynaptic potential in squid giant synapse. Biophysical Journal. 33(3). 323–351. 556 indexed citations breakdown →

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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