Young Kim

54 total papers · 2.1k total citations
35 papers, 1.6k citations indexed

About

Young Kim is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Young Kim has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 6 papers in Orthopedics and Sports Medicine and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Young Kim's work include Muscle activation and electromyography studies (9 papers), Diabetic Foot Ulcer Assessment and Management (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Young Kim is often cited by papers focused on Muscle activation and electromyography studies (9 papers), Diabetic Foot Ulcer Assessment and Management (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Young Kim collaborates with scholars based in South Korea, United States and Taiwan. Young Kim's co-authors include Eric V. Dang, Hung‐Rong Yen, Karen Zeller, Suzanne L. Topalian, Juan Fu, Larissa A. Shimoda, Huang‐Yu Yang, Drew M. Pardoll, Fan Pan and Chi V. Dang and has published in prestigious journals such as Cell, IEEE Access and Geophysics.

In The Last Decade

Young Kim

32 papers receiving 1.6k citations

Hit Papers

Control of TH17/Treg Bala... 2011 2026 2016 2021 2011 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Young Kim 868 391 357 240 134 35 1.6k
Jie Ma 721 0.8× 459 1.2× 189 0.5× 257 1.1× 157 1.2× 51 1.4k
Justin Hartupee 776 0.9× 387 1.0× 230 0.6× 340 1.4× 125 0.9× 24 1.9k
Linnan Zhu 816 0.9× 580 1.5× 189 0.5× 291 1.2× 135 1.0× 44 1.8k
Qian Gong 841 1.0× 486 1.2× 159 0.4× 348 1.4× 64 0.5× 47 1.6k
Dan Jane‐wit 827 1.0× 417 1.1× 148 0.4× 178 0.7× 116 0.9× 35 1.7k
Jing Ni 695 0.8× 394 1.0× 125 0.4× 373 1.6× 100 0.7× 38 1.4k
Rajni Chibbar 531 0.6× 766 2.0× 315 0.9× 261 1.1× 177 1.3× 71 1.8k
Ryoko Takahashi 436 0.5× 606 1.5× 211 0.6× 467 1.9× 225 1.7× 59 1.7k
Claudia Korn 408 0.5× 850 2.2× 219 0.6× 228 0.9× 147 1.1× 31 2.0k
Yang Zhao 694 0.8× 362 0.9× 122 0.3× 217 0.9× 150 1.1× 57 1.5k

Countries citing papers authored by Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young Kim. A scholar is included among the top collaborators of Young Kim 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 Young Kim. Young Kim 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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