Yoojin Kim

36 papers receiving 431 citations

Peers

Yoojin Kim
Comparison fields: 5 of 128
  • Physiology 115
  • Molecular Biology 102
  • Cell Biology 83
  • Endocrinology, Diabetes and Metabolism 77
  • Public Health, Environmental and Occupational Health 55
Replace Myeongcheol Lee with:
Myeongcheol Lee South Korea
Rosemary Spencer United Kingdom
Tyler Reimschisel United States
Lynley D. Pound United States
Kathleen Simpson United States
Dariush D Farhud Iran
Yong Kyu Kim South Korea
Rie Amamoto Japan
Élizabeth Martin United States
Rebecca Riley United States
Yoojin Kim relative to Myeongcheol Lee South Korea Myeongcheol Lee's profile →
Citations per field
00.5×3.6×
Myeongcheol Lee · 1×
Citations per year

Countries citing papers authored by Yoojin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yoojin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoojin Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yoojin Kim. A scholar is included among the top collaborators of Yoojin 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 Yoojin Kim. Yoojin Kim 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 5
2 11
3 3
4 0
5 6
6 7
7 11
8 6
9
Graph Neural Network for Music Score Data and Modeling Expressive Piano Performance
8
10 7
11 3
12 6
13 9
14 28
15 13
16
The Cluster of Academic Stress, Defense Mechanism, and their Differences in Mental Health on Elementary School Students
1
17
Characteristics of Internet Use in Relation to School Bullying
3
18
A study on infrared reflectography for underdrawing detection using a digital camera
3
19 1
20
Studies on Antitumor Components of Cultured Basidiomycetes - Purification and Chemical Analysis of Antineoplastic Constituents of Cultured Mycelia of Laccaria laccata -
1

About Yoojin Kim

Yoojin Kim is a scholar working on Leadership and Management, Health Information Management and Human Factors and Ergonomics, having authored 43 papers that have together received 446 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Diverse Approaches in Healthcare and Education Studies (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Leadership and Management (9 citations), Physiology (25 citations) and Cell Biology (83 citations). Yoojin Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include David A. Pearce, Denia Ramirez‐Montealegre, Subrata Chattopadhyay, Jun Woo Kim, Jae‐Hyung Jang, Kristen Wroblewski, Kumar B. Rajan, Sirimon Reutrakul, Shannon Sims and Bo Youl Choi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Langmuir 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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