Young‐Ran Lim

616 citations
28 papers · 483 · h-index 13

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 19
    • Microbial Natural Products and Biosynthesis 6
    • Plant biochemistry and biosynthesis 4

Young‐Ran Lim

27 papers receiving 481 citations

Peers

Young‐Ran Lim
Comparison fields: 5 of 96
  • Pharmacology 190
  • Pharmacology 121
  • Biochemistry 24
  • Biochemistry 29
  • Health, Toxicology and Mutagenesis 51
Replace Rafael Camacho‐Carranza with:
Rafael Camacho‐Carranza Mexico
J. Dubois Belgium
Kristýna Krasulová Czechia
Masaki Shindo Japan
Katsuhisa Kurogi Japan
Sung-Kun Yim South Korea
Ryan A. Dick United States
Jan Felix Joseph Germany
Yuji Ishii Japan
Danilo D. Rocha Brazil
Young‐Ran Lim relative to Rafael Camacho‐Carranza Mexico Rafael Camacho‐Carranza's profile →
Citations per field
00.5×3.0×
Rafael Camacho‐Carranza · 1×
Citations per year

Countries citing papers authored by Young‐Ran Lim

Since Specialization
Citations

This map shows the geographic impact of Young‐Ran Lim'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 Lim 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 Lim more than expected).

Fields of papers citing papers by Young‐Ran Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017146
2 201027
3 201527
4 201622
5 201220
6 201019
7 201717
8 201316
9 201816
10 201715
11 201715
12 201614
13 201713
14 201712
15
Regioselective oxidation of lauric acid by CYP119, an orphan cytochrome P450 from Sulfolobus acidocaldarius.
201012
16 201712
17 201912
18 201410
19 201610
20 201810

About Young‐Ran Lim

Young‐Ran Lim is a scholar working on Pharmacology, Molecular Biology, Pharmacology, Oncology and Computational Theory and Mathematics, having authored 28 papers that have together received 483 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (19 papers), Microbial Natural Products and Biosynthesis (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Computational Drug Discovery Methods (4 papers), Plant biochemistry and biosynthesis (4 papers), Cancer Treatment and Pharmacology (2 papers), Chemical Reactions and Isotopes (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Pharmacology (190 citations), Pharmacology (121 citations), Biochemistry (24 citations), Biochemistry (29 citations) and Health, Toxicology and Mutagenesis (51 citations). Young‐Ran Lim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyoung Sang Cho, Donghak Kim, Jae‐Seok Lee, Im‐Soon Lee, Kyung‐Ho Lee, Jang Ho Lee, Song‐Hee Han, Young‐Jin Chun, Chul‐Ho Yun and Jung‐Soo Han. Their work appears in journals such as Toxicological Research, Archives of Biochemistry and Biophysics, Xenobiotica, Biomolecules & Therapeutics and Chemical Research in 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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