Young G. Shin

3.1k citations
99 papers · 1.9k · h-index 24

Impact in

Papers in

    • Natural product bioactivities and synthesis 10
    • Drug Transport and Resistance Mechanisms 9
    • HER2/EGFR in Cancer Research 7

Young G. Shin

96 papers receiving 1.8k citations

Peers

Young G. Shin
Comparison fields: 5 of 120
  • Geriatrics and Gerontology 237
  • Pharmacology 199
  • Complementary and alternative medicine 145
  • Biochemistry 109
  • Toxicology 54
Replace Jeong‐Hyeon Ko with:
Jeong‐Hyeon Ko South Korea
Yoshiyuki Kimura Japan
Ock Jin Park South Korea
Henry P. Ciolino United States
Gopalakrishnan Ramakrishnan India
Chia‐Jui Weng Taiwan
Maija Lahtela‐Kakkonen Finland
Vidya Hebbar United States
Bum Sang Shim South Korea
Shigeru Arichi Japan
Young G. Shin relative to Jeong‐Hyeon Ko South Korea Jeong‐Hyeon Ko's profile →
Citations per field
00.5×1.5×2.4×
Jeong‐Hyeon Ko · 1×
Citations per year

Countries citing papers authored by Young G. Shin

Since Specialization
Citations

This map shows the geographic impact of Young G. 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 G. 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 G. Shin more than expected).

Fields of papers citing papers by Young G. Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Young G. 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 G. Shin Line = papers co-authored together Young G. Shin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002257
2 1999123
3 199977
4 199670
5 200369
6 199861
7 200258
8 200353
9 201250
10 201148
11 200947
12 201547
13 201546
14 201146
15 200145
16 200145
17 199938
18 202237
19 200136
20 199936

About Young G. Shin

Young G. Shin is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Spectroscopy and Pharmacology, having authored 99 papers that have together received 1.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Natural product bioactivities and synthesis (10 papers), Drug Transport and Resistance Mechanisms (9 papers), Analytical Chemistry and Chromatography (9 papers), HER2/EGFR in Cancer Research (7 papers), Pharmacogenetics and Drug Metabolism (7 papers), Mass Spectrometry Techniques and Applications (6 papers) and Cancer, Hypoxia, and Metabolism (6 papers). The work is most often cited by research in Geriatrics and Gerontology (237 citations), Pharmacology (199 citations), Complementary and alternative medicine (145 citations), Biochemistry (109 citations) and Toxicology (54 citations). Young G. Shin has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include John M. Pezzuto, Richard B. van Breemen, Jerome W. Kosmeder, Chongwoo Yu, Yongmei Li, Yong Sup Lee, Rajendra G. Mehta, Min‐Ho Park, Man Ki Park and A. Douglas Kinghorn. Their work appears in journals such as Molecules, Archives of Pharmacal Research, Biomedical Chromatography, Pharmaceutics and Rapid Communications in Mass Spectrometry.

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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