Nyeonju Kang

56 total papers · 474 total citations
40 papers, 279 citations indexed

About

Nyeonju Kang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Nyeonju Kang has authored 40 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 21 papers in Cognitive Neuroscience and 11 papers in Neurology. Recurrent topics in Nyeonju Kang's work include Muscle activation and electromyography studies (20 papers), Motor Control and Adaptation (16 papers) and Transcranial Magnetic Stimulation Studies (9 papers). Nyeonju Kang is often cited by papers focused on Muscle activation and electromyography studies (20 papers), Motor Control and Adaptation (16 papers) and Transcranial Magnetic Stimulation Studies (9 papers). Nyeonju Kang collaborates with scholars based in South Korea and United States. Nyeonju Kang's co-authors include James H. Cauraugh, Joon Ho Lee, Ryul Kim, Kiwon Park, Derek B. Archer, Carolynn Patten, Kyeongho Byun, Stephen A. Coombes, Jin‐Sun Jun and Gaurav Misra and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Nyeonju Kang

35 papers receiving 276 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nyeonju Kang	142	88	84	64	60	40	279
Edoardo Bianchini	79 0.6×	73 0.8×	52 0.6×	105 1.6×	32 0.5×	41	312
Louis E. Tremblay	96 0.7×	69 0.8×	58 0.7×	64 1.0×	34 0.6×	18	236
Giuseppe Reale	139 1.0×	31 0.4×	66 0.8×	34 0.5×	73 1.2×	26	325
Lívia Shirahige	68 0.5×	192 2.2×	76 0.9×	69 1.1×	64 1.1×	31	296
Verónica Robles‐García	98 0.7×	39 0.4×	108 1.3×	82 1.3×	56 0.9×	20	321
Jitka Veldema	69 0.5×	164 1.9×	83 1.0×	48 0.8×	168 2.8×	17	328
Elena Aiello	72 0.5×	103 1.2×	45 0.5×	61 1.0×	60 1.0×	18	300
Gadi Bartur	126 0.9×	59 0.7×	77 0.9×	55 0.9×	137 2.3×	15	291
Abhijit Das	97 0.7×	88 1.0×	27 0.3×	36 0.6×	55 0.9×	35	315
Rasmus Bach Nedergaard	119 0.8×	74 0.8×	81 1.0×	31 0.5×	52 0.9×	33	303

Countries citing papers authored by Nyeonju Kang

Since Specialization

Citations

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

Fields of papers citing papers by Nyeonju Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nyeonju Kang

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

All Works

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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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