Young‐Jun Shin

1.4k citations
40 papers · 1.2k · h-index 22

Impact in

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

Papers in

Young‐Jun Shin

39 papers receiving 1.2k citations

Peers

Young‐Jun Shin
Comparison fields: 5 of 113
  • Neurology 143
  • Endocrinology, Diabetes and Metabolism 139
  • Geriatrics and Gerontology 26
  • Molecular Biology 477
  • Clinical Biochemistry 40
Replace Jiliang Wu with:
Jiliang Wu China
Ahsas Goyal India
Yan Li Yang China
Elsa C. Chan Australia
Haitao Hu China
Yajie Wang China
Lamiaa A. Ahmed Egypt
Loredana Cristiano Italy
Elisa Benetti Italy
Young‐Jun Shin relative to Jiliang Wu China Jiliang Wu's profile →
Citations per field
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014160
2 2020124
3 200887
4 201882
5 201469
6 201163
7 201261
8 201150
9 202039
10 201435
11 200735
12 201533
13 201632
14 202031
15 201629
16 202028
17 201627
18 200727
19 202025
20 201923

About Young‐Jun Shin

Young‐Jun Shin is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Pharmacology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Combustion and flame dynamics (8 papers), Advanced Combustion Engine Technologies (7 papers), Receptor Mechanisms and Signaling (5 papers), Combustion and Detonation Processes (3 papers), Inflammatory mediators and NSAID effects (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Biochemical effects in animals (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Neurology (143 citations), Endocrinology, Diabetes and Metabolism (139 citations), Geriatrics and Gerontology (26 citations), Molecular Biology (477 citations) and Clinical Biochemistry (40 citations). Young‐Jun Shin has collaborated with scholars based in South Korea, United States and United Kingdom. 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, Yongmo Kim and Donghyun Kim. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, International Journal of Molecular Sciences, Archives of Pharmacal Research and Stroke.

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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