Kozo Funase

1.3k total citations
69 papers, 1.1k citations indexed

About

Kozo Funase is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Neurology. According to data from OpenAlex, Kozo Funase has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cognitive Neuroscience, 33 papers in Biomedical Engineering and 30 papers in Neurology. Recurrent topics in Kozo Funase's work include Motor Control and Adaptation (37 papers), Muscle activation and electromyography studies (33 papers) and Transcranial Magnetic Stimulation Studies (29 papers). Kozo Funase is often cited by papers focused on Motor Control and Adaptation (37 papers), Muscle activation and electromyography studies (33 papers) and Transcranial Magnetic Stimulation Studies (29 papers). Kozo Funase collaborates with scholars based in Japan, Australia and Philippines. Kozo Funase's co-authors include K. Uehara, Takuya Morishita, Kuniyasu Imanaka, Yoshiaki Nishihira, Timothy S. Miles, Tatsuya Kasai, Shinji Kubota, Nan Liang, Masato Hirano and Toshio Higashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Kozo Funase

67 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kozo Funase Japan 19 485 433 332 207 176 69 1.1k
Magdalena Sabaté Spain 18 387 0.8× 127 0.3× 43 0.1× 212 1.0× 111 0.6× 24 949
G. Steg Sweden 19 298 0.6× 163 0.4× 272 0.8× 507 2.4× 192 1.1× 41 1.4k
Rosalinda Díaz Mexico 20 313 0.6× 145 0.3× 95 0.3× 516 2.5× 356 2.0× 42 955
Catarina Saiote United States 12 304 0.6× 233 0.5× 66 0.2× 96 0.5× 22 0.1× 17 567
J. Quevedo Mexico 19 329 0.7× 211 0.5× 264 0.8× 369 1.8× 118 0.7× 31 880
Harry J. Gould United States 19 868 1.8× 301 0.7× 110 0.3× 533 2.6× 382 2.2× 55 1.7k
Kazuhiko Okano Japan 12 600 1.2× 209 0.5× 189 0.6× 144 0.7× 50 0.3× 15 830
P. Zarzecki Canada 21 759 1.6× 363 0.8× 214 0.6× 543 2.6× 62 0.4× 28 1.2k
Stephan Quessy Canada 15 535 1.1× 216 0.5× 110 0.3× 141 0.7× 23 0.1× 23 848
David P. C. Lloyd United States 15 298 0.6× 155 0.4× 190 0.6× 358 1.7× 118 0.7× 40 937

Countries citing papers authored by Kozo Funase

Since Specialization
Citations

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

Fields of papers citing papers by Kozo Funase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kozo Funase

This figure shows the co-authorship network connecting the top 25 collaborators of Kozo Funase. A scholar is included among the top collaborators of Kozo Funase 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 Kozo Funase. Kozo Funase 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.
Tanaka, Shinya, Masato Hirano, & Kozo Funase. (2020). Modulation of cerebellar brain inhibition during temporal adaptive learning in a coincident timing task. Experimental Brain Research. 239(1). 127–139. 2 indexed citations
2.
Hirano, Masato, et al.. (2017). Relationship between the changes in M1 excitability after motor learning and arousal state as assessed by short-latency afferent inhibition. Behavioural Brain Research. 330. 56–62. 8 indexed citations
3.
Tanaka, Yoshifumi, et al.. (2014). Psychological pressure facilitates corticospinal excitability: Motor preparation processes and EMG activity in a choice reaction task. International Journal of Sport and Exercise Psychology. 12(4). 287–301. 6 indexed citations
4.
Hirano, Masato, et al.. (2014). Long-Term Practice Induced Plasticity in the Primary Motor Cortex Innervating the Ankle Flexor in Football Juggling Experts. Motor Control. 18(3). 310–321. 5 indexed citations
5.
Uehara, K., Takuya Morishita, Shinji Kubota, Masato Hirano, & Kozo Funase. (2013). Changes in the Ipsilateral Motor Cortex Excitability Induced by Different Frequencies of Afferent Inputs in Healthy Subjects : A TMS Study. 19(3). 61–71. 1 indexed citations
6.
Kubota, Shinji, K. Uehara, Takuya Morishita, Masato Hirano, & Kozo Funase. (2013). Inter-individual variation in reciprocal Ia inhibition is dependent on the descending volleys delivered from corticospinal neurons to Ia interneurons. Journal of Electromyography and Kinesiology. 24(1). 46–51. 9 indexed citations
7.
Uehara, K., Takuya Morishita, Shinji Kubota, & Kozo Funase. (2013). Change in the Ipsilateral Motor Cortex Excitability Is Independent from a Muscle Contraction Phase during Unilateral Repetitive Isometric Contractions. PLoS ONE. 8(1). e55083–e55083. 7 indexed citations
9.
Uehara, K., Takuya Morishita, & Kozo Funase. (2010). Excitability changes in the ipsilateral primary motor cortex during rhythmic contraction of finger muscles. Neuroscience Letters. 488(1). 22–25. 12 indexed citations
10.
Funase, Kozo, Nan Liang, & Takayuki Tabira. (2008). Bilateral Facilitation of Hand-motor Cortices During a Reading Task. 14(3). 57–62. 1 indexed citations
11.
Liang, Nan, Tsuneji Murakami, Kozo Funase, Tomohiro Narita, & Tatsuya Kasai. (2008). Further evidence for excitability changes in human primary motor cortex during ipsilateral voluntary contractions. Neuroscience Letters. 433(2). 135–140. 35 indexed citations
12.
Liang, Nan, Zhen Ni, Makoto Takahashi, et al.. (2007). Effects of motor imagery are dependent on motor strategies. Neuroreport. 18(12). 1241–1245. 11 indexed citations
13.
Funase, Kozo, et al.. (2004). Difference of Posture-related Modulaton of H-reflex Between Forearm and Leg muscle. 10(3). 85–92. 3 indexed citations
14.
Funase, Kozo, et al.. (2003). Neural mechanism underlying the H-reflex inhibition during static muscle stretching. 9(4). 119–127. 6 indexed citations
15.
Funase, Kozo, et al.. (2001). Patterns of muscle activation in human hopping. European Journal of Applied Physiology. 84(6). 503–509. 31 indexed citations
16.
Nishihira, Yoshiaki, Arihiro Hatta, Masaki Fumoto, et al.. (1999). P300 Before and Affer Transient Hard Exercise. 5(2). 49–54. 2 indexed citations
17.
Funase, Kozo, Toshio Higashi, Kuniyasu Imanaka, & Yoshiaki Nishihira. (1998). Inter-individual Differences of Motoneuron Pool Excitability Assessed by H-reflex are Associated with the Presynaptic Inhibition of la Afferents. 4(2). 71–75. 2 indexed citations
18.
Funase, Kozo, Kuniyasu Imanaka, Yoshiaki Nishihira, et al.. (1996). Soleus Motoneuron Pool Excitability in the Resting State Affects the Amount of Reciprocal Inhibition During Dorsiflexion. 2(2). 65–72. 2 indexed citations
19.
Nishihira, Yoshiaki, et al.. (1995). Changes in Power Spectral Analysis of EEG-Alpha Bands During a Sustained,Voluntary Contraction to Fatigue. 1(2). 39–43. 1 indexed citations
20.
Takeuchi, H, et al.. (1985). Neurotransmetteurs des neurones géants chez l'Escargot géant africain, Achatina fulica Férussac. I: Les ganglions pariétaux. Comptes rendus des séances de la Société de biologie et de ses filiales. 179(6). 752–760. 20 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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