Young‐Ran Yoon

1.7k citations
98 papers · 1.4k · h-index 22

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 12
    • Inflammatory mediators and NSAID effects 8
    • Antibiotics Pharmacokinetics and Efficacy 8
    • Drug Transport and Resistance Mechanisms 7

Young‐Ran Yoon

94 papers receiving 1.4k citations

Peers

Young‐Ran Yoon
Comparison fields: 5 of 113
  • Pharmacology 322
  • Transplantation 26
  • Oncology 253
  • Pharmacology 157
  • Analytical Chemistry 91
Replace Ophelia Q. P. Yin with:
Ophelia Q. P. Yin United States
Kirstin Thelen Germany
Shaojun Shi China
Yoh Takekuma Japan
Lan Fan China
Gan Zhou China
Mikio Masada Japan
Akihiro Hisaka Japan
Jenny Y. Chien United States
Kenneth J. Ruterbories United States
Young‐Ran Yoon relative to Ophelia Q. P. Yin United States Ophelia Q. P. Yin's profile →
Citations per field
00.5×1.5×
Ophelia Q. P. Yin · 1×
Citations per year

Countries citing papers authored by Young‐Ran Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Ran Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001117
2 200268
3 201967
4 201359
5 201854
6 201051
7 201242
8 200940
9 201638
10 201538
11 201438
12 200636
13 200535
14 201634
15 199834
16 201828
17 201527
18 201524
19 201824
20 201823

About Young‐Ran Yoon

Young‐Ran Yoon is a scholar working on Pharmacology, Pharmacology, Oncology, Transplantation and Analytical Chemistry, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Bone Metabolism and Diseases (10 papers), Inflammatory mediators and NSAID effects (8 papers), Analytical Methods in Pharmaceuticals (8 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Drug Transport and Resistance Mechanisms (7 papers) and Renal Transplantation Outcomes and Treatments (6 papers). The work is most often cited by research in Pharmacology (322 citations), Transplantation (26 citations), Oncology (253 citations), Pharmacology (157 citations) and Analytical Chemistry (91 citations). Young‐Ran Yoon has collaborated with scholars based in South Korea, United States and Sudan. Frequent co-authors include Sook Jin Seong, Hae Won Lee, Woo Youl Kang, Jae‐Gook Shin, Mi‐sun Lim, Hyun‐Ju Kim, In‐June Cha, Shin‐Yoon Kim, Ji‐Hong Shon and Moon‐Kyung Kim. Their work appears in journals such as Drug Design Development and Therapy, Journal of Chromatography B, Expert Opinion on Drug Metabolism & Toxicology, British Journal of Clinical Pharmacology and Journal of Cellular Physiology.

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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