Ippei Nojima

993 total citations
42 papers, 689 citations indexed

About

Ippei Nojima is a scholar working on Cognitive Neuroscience, Neurology and Biomedical Engineering. According to data from OpenAlex, Ippei Nojima has authored 42 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 14 papers in Neurology and 13 papers in Biomedical Engineering. Recurrent topics in Ippei Nojima's work include Transcranial Magnetic Stimulation Studies (14 papers), Muscle activation and electromyography studies (13 papers) and Motor Control and Adaptation (12 papers). Ippei Nojima is often cited by papers focused on Transcranial Magnetic Stimulation Studies (14 papers), Muscle activation and electromyography studies (13 papers) and Motor Control and Adaptation (12 papers). Ippei Nojima collaborates with scholars based in Japan, United States and Taiwan. Ippei Nojima's co-authors include Tatsuya Mima, Satoko Koganemaru, Hidenao Fukuyama, Tatsunori Watanabe, Toshio Kawamata, Shigeo Tanabe, Mohamed N. Thabit, Hideshi Sugiura, Kazuto Ishida and Hisato Sugata and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and The Journal of Physiology.

In The Last Decade

Ippei Nojima

38 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ippei Nojima Japan 16 387 253 185 117 85 42 689
Brach Poston United States 17 490 1.3× 272 1.1× 440 2.4× 70 0.6× 79 0.9× 58 791
Kathy Ruddy Ireland 14 424 1.1× 226 0.9× 208 1.1× 73 0.6× 37 0.4× 29 682
David A. E. Bolton United States 16 403 1.0× 202 0.8× 193 1.0× 157 1.3× 256 3.0× 40 781
Katie P. Wadden Canada 18 287 0.7× 232 0.9× 130 0.7× 173 1.5× 38 0.4× 33 823
Sidney Grosprêtre France 18 360 0.9× 263 1.0× 426 2.3× 101 0.9× 50 0.6× 68 930
Hikari Kirimoto Japan 18 493 1.3× 505 2.0× 249 1.3× 80 0.7× 31 0.4× 73 831
Jolien Gooijers Belgium 18 743 1.9× 246 1.0× 140 0.8× 85 0.7× 44 0.5× 38 1.2k
Katlyn E. Brown Canada 16 367 0.9× 442 1.7× 167 0.9× 169 1.4× 28 0.3× 36 765
Gregory E. P. Pearcey Canada 19 276 0.7× 194 0.8× 536 2.9× 178 1.5× 117 1.4× 49 1.2k
Tue Hvass Petersen Denmark 14 419 1.1× 141 0.6× 371 2.0× 157 1.3× 113 1.3× 19 930

Countries citing papers authored by Ippei Nojima

Since Specialization
Citations

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

Fields of papers citing papers by Ippei Nojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ippei Nojima

This figure shows the co-authorship network connecting the top 25 collaborators of Ippei Nojima. A scholar is included among the top collaborators of Ippei Nojima 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 Ippei Nojima. Ippei Nojima 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.
Goto, Ryosuke, et al.. (2023). Intermuscular Coherence during Quiet Standing in Sub-Acute Patients after Stroke: An Exploratory Study. Brain Sciences. 13(12). 1640–1640. 3 indexed citations
2.
Horiuchi, Yuki, et al.. (2023). EMG-EMG coherence during voluntary control of human standing tasks: a systematic scoping review. Frontiers in Neuroscience. 17. 1145751–1145751. 6 indexed citations
3.
Yamamoto, Shuhei, Ippei Nojima, Hajime Ichimura, et al.. (2022). Association between postoperative delirium and heart rate variability in the intensive care unit and readmissions and mortality in elderly patients with cardiovascular surgery. Heart and Vessels. 38(3). 438–447. 6 indexed citations
4.
Nojima, Ippei & Taiji Noguchi. (2022). Statistics for the Perfromance of Diagnositc and Assessment Tests：Sensitivity, Specificity and ROC Curve. The Japanese Journal of Rehabilitation Medicine. 59(11). 1125–1130. 1 indexed citations
5.
Nojima, Ippei, et al.. (2022). Strengthening the GABAergic System Through Neurofeedback Training Suppresses Implicit Motor Learning. Neuroscience. 488. 112–121. 1 indexed citations
6.
7.
Sugata, Hisato, Shogo Yazawa, Kazuhito Tsuruta, et al.. (2020). Role of beta-band resting-state functional connectivity as a predictor of motor learning ability. NeuroImage. 210. 116562–116562. 34 indexed citations
8.
Nojima, Ippei, Hideshi Sugiura, Taiji Noguchi, et al.. (2020). Smaller muscle mass is associated with increase in EMG–EMG coherence of the leg muscle during unipedal stance in elderly adults. Human Movement Science. 71. 102614–102614. 10 indexed citations
9.
Nojima, Ippei, Antonio Oliviero, & Tatsuya Mima. (2019). Transcranial static magnetic stimulation —From bench to bedside and beyond—. Neuroscience Research. 156. 250–255. 12 indexed citations
10.
Nojima, Ippei, et al.. (2018). Transcranial static magnetic stimulation over the primary motor cortex alters sequential implicit motor learning. Neuroscience Letters. 696. 33–37. 25 indexed citations
11.
Watanabe, Tatsunori, et al.. (2018). Fatigue-induced decline in low-frequency common input to bilateral and unilateral plantar flexors during quiet standing. Neuroscience Letters. 686. 193–197. 12 indexed citations
12.
Watanabe, Tatsunori, et al.. (2018). Coordination of plantar flexor muscles during bipedal and unipedal stances in young and elderly adults. Experimental Brain Research. 236(5). 1229–1239. 37 indexed citations
13.
Watanabe, Tatsunori, Ippei Nojima, Hideshi Sugiura, Basma Yacoubi, & Evangelos A. Christou. (2018). Voluntary control of forward leaning posture relates to low-frequency neural inputs to the medial gastrocnemius muscle. Gait & Posture. 68. 187–192. 15 indexed citations
14.
Nojima, Ippei, et al.. (2018). Modulation of EMG-EMG Coherence in a Choice Stepping Task. Frontiers in Human Neuroscience. 12. 50–50. 14 indexed citations
15.
Watanabe, Tatsunori, Kazuto Ishida, Shigeo Tanabe, et al.. (2018). Effect of auditory stimulus on executive function and execution time during cognitively demanding stepping task in patients with Parkinson’s disease. Neuroscience Letters. 674. 101–105. 2 indexed citations
16.
Watanabe, Tatsunori, et al.. (2017). Auditory stimulus has a larger effect on anticipatory postural adjustments in older than young adults during choice step reaction. European Journal of Applied Physiology. 117(12). 2409–2423. 8 indexed citations
17.
Watanabe, Tatsunori, Kazuto Ishida, Shigeo Tanabe, & Ippei Nojima. (2016). Preparatory state and postural adjustment strategies for choice reaction step initiation. Neuroscience. 332. 140–148. 17 indexed citations
18.
Nojima, Ippei, Satoko Koganemaru, Hidenao Fukuyama, & Tatsuya Mima. (2015). Static magnetic field can transiently alter the human intracortical inhibitory system. Clinical Neurophysiology. 126(12). 2314–2319. 41 indexed citations
19.
Nojima, Ippei, et al.. (2013). The Effect of Visual Feedback Induced by Kinesthetic Illusion on Motor Learning of Dexterity Movement(Reports Supported by JPTA Grant). 40(2). 106–107.
20.
Nojima, Ippei, Tatsuhide Oga, Hidenao Fukuyama, Toshio Kawamata, & Tatsuya Mima. (2013). Mirror visual feedback can induce motor learning in patients with callosal disconnection. Experimental Brain Research. 227(1). 79–83. 22 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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