Young‐Jun Shin

1.4k citations
37 papers · 1.0k · h-index 20

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Barrier Structure and Function Studies

Papers in

Young‐Jun Shin

36 papers receiving 996 citations

Peers

Young‐Jun Shin
Comparison fields: 5 of 112
  • Neurology 136
  • Geriatrics and Gerontology 22
  • Endocrinology, Diabetes and Metabolism 105
  • Clinical Biochemistry 37
  • Epidemiology 169
Replace Kyeong-A Kim with:
Kyeong-A Kim South Korea
Lamiaa A. Ahmed Egypt
Elisa Benetti Italy
Kanchan Bhatia United States
Xiangning Cui China
Vasily N. Sukhorukov Russia
Basim Anwar Shehata Messiha Egypt
Anurag Mishra India
Young‐Jun Shin relative to Kyeong-A Kim South Korea Kyeong-A Kim's profile →
Citations per field
00.5×2.7×
Kyeong-A Kim · 1×
Citations per year

Countries citing papers authored by Young‐Jun Shin

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Jun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Young‐Jun Shin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Young‐Jun Shin Line = papers co-authored together Young‐Jun Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014154
2 2020115
3 201878
4 201465
5 201255
6 201153
7 201139
8 202038
9 201434
10 201533
11 200732
12 201631
13 202028
14 202027
15 201627
16 201626
17 202025
18 200523
19 202122
20 201921

About Young‐Jun Shin

Young‐Jun Shin is a scholar working on Molecular Biology, Computational Mechanics, Fluid Flow and Transfer Processes, Organic Chemistry and Pharmacology, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Combustion and flame dynamics (8 papers), Advanced Combustion Engine Technologies (7 papers), Receptor Mechanisms and Signaling (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Biochemical effects in animals (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Combustion and Detonation Processes (3 papers) and Antimicrobial agents and applications (2 papers). The work is most often cited by research in Neurology (136 citations), Geriatrics and Gerontology (22 citations), Endocrinology, Diabetes and Metabolism (105 citations), Clinical Biochemistry (37 citations) and Epidemiology (169 citations). Young‐Jun Shin has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Ok‐Nam Bae, Kyeong-A Kim, Eun Sun Kim, Arshad Majid, Seung‐Hoon Baek, Jeong‐Hyeon Kim, Muhammad Akram, Eun-Hye Kim, G. K. Rajanikant and Yongmo Kim. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal of Molecular Sciences, Archives of Pharmacal Research, Stroke and Environmental Toxicology.

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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