Eun-Jung Shin

918 citations
46 papers · 656 indexed · h-index 13
Topics
Muscle Physiology and Disorders (4 papers)Genomics and Phylogenetic Studies (4 papers)Consumer Perception and Purchasing Behavior (4 papers)

In The Last Decade

Eun-Jung Shin

44 papers receiving 630 citations

Peers

Eun-Jung Shin
Comparison fields: 5 of 139
  • Molecular Biology 287
  • Surgery 115
  • Pharmacology 75
  • Biomaterials 67
  • Biomedical Engineering 64
Replace Sandeep Arora with:
Sandeep Arora India
Birol Topçu Türkiye
Xuejiao Zhang China
Mi Zhou China
Hao Cao China
Liming Tao China
Xiujuan Wu China
Mabel Chew Australia
Jin Hyun Jun South Korea
Eun-Jung Shin relative to Sandeep Arora India Sandeep Arora's profile →
Citations per field
00.5×3.9×
Sandeep Arora · 1×
Citations per year

Countries citing papers authored by Eun-Jung Shin

Since Specialization
Citations

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

Fields of papers citing papers by Eun-Jung Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun-Jung Shin. 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 Eun-Jung Shin. The network helps show where Eun-Jung Shin may publish in the future.

Co-authorship network of co-authors of Eun-Jung Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Eun-Jung Shin. A scholar is included among the top collaborators of Eun-Jung Shin 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 Eun-Jung Shin. Eun-Jung Shin 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 1
2 1
3 1
4 4
5
Active Senior Contents Trend Analysis using LDA Topic Modeling
1
6 3
7 63
8 17
9 58
10 36
11 11
12 7
13 1
14
A Case of Dysphagia Lusoria Caused by an Aberrant Right Subclavian Artery in an Adolescent
1
15
A Case of Renal Lipomatosis in Transplanted Kidney
0
16
Four cases of chloroma treated with hematopoietic stem cell transplantation
0
17
Apo E4 Genotype as the Alzheimer Indictor in Korean Senior Subjects Aged 50 to 64 Years Old
1
18
Risk Factors of Blood and Body Fluid Exposure in Clinical Nurses
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19
Production of Soluble Human Granulocyte Colony Stimulating Factor in E. coli by Molecular Chaperones
2
20 4

About Eun-Jung Shin

Eun-Jung Shin is a scholar working on Leadership and Management, Marketing and Information Systems and Management, having authored 46 papers that have together received 656 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Genomics and Phylogenetic Studies (4 papers) and Consumer Perception and Purchasing Behavior (4 papers). The work is most often cited by research in Biomaterials (67 citations), Pharmacology (75 citations) and Molecular Biology (287 citations). Eun-Jung Shin has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Chang‐Kee Hyun, Timothy P. Johnson, Susan C. Frost, Young C. Jang, Woojin M. Han, Mahir Mohiuddin, Shannon E. Anderson, Onyou Hwang, Hyo Jin Son and Tong H. Joh. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

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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