Jinsook Roh

1.7k citations
32 papers · 1.2k indexed · h-index 12
Topics
Muscle activation and electromyography studies (26 papers)Motor Control and Adaptation (23 papers)Stroke Rehabilitation and Recovery (16 papers)

In The Last Decade

Jinsook Roh

28 papers receiving 1.2k citations

Peers

Jinsook Roh
Comparison fields: 5 of 59
  • Biomedical Engineering 896
  • Cognitive Neuroscience 872
  • Rehabilitation 388
  • Physical Therapy, Sports Therapy and Rehabilitation 171
  • Psychiatry and Mental health 114
Replace Alessandro Scano with:
Alessandro Scano Italy
Martina Coscia Italy
Valeriya Gritsenko United States
Sergiy Yakovenko United States
J.L. Emken United States
Iolanda Pisotta Italy
Alessandro Portone Italy
Laure Fernandez France
Е. V. Biryukova Russia
Fabrice R. Sarlegna France
Jinsook Roh relative to Alessandro Scano Italy Alessandro Scano's profile →
Citations per field
00.5×6.6×
Alessandro Scano · 1×
Citations per year

Countries citing papers authored by Jinsook Roh

Since Specialization
Citations

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

Fields of papers citing papers by Jinsook Roh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinsook Roh

This figure shows the co-authorship network connecting the top 25 collaborators of Jinsook Roh. A scholar is included among the top collaborators of Jinsook Roh 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 Jinsook Roh. Jinsook Roh 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
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 3
6 4
7 5
8 8
9 10
10 17
11 27
12 21
13 3
14 55
15 9
16 4
17 129
18 115
19 115
20 153

About Jinsook Roh

Jinsook Roh is a scholar working on Rehabilitation, Cognitive Neuroscience and Biomedical Engineering, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (26 papers), Motor Control and Adaptation (23 papers) and Stroke Rehabilitation and Recovery (16 papers). The work is most often cited by research in Rehabilitation (388 citations), Cognitive Neuroscience (872 citations) and Physical Therapy, Sports Therapy and Rehabilitation (171 citations). Jinsook Roh has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include William Z. Rymer, Randall F. Beer, Emilio Bizzi, Andrea d’Avella, Simon A. Overduin, Eric J. Perreault, Seng Bum Michael Yoo, Vincent C. K. Cheung, Jose M. Carmena and Yingchun Zhang. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology and Scientific Reports.

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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