Moon Kyo In

973 total citations
47 papers, 752 citations indexed

About

Moon Kyo In is a scholar working on Toxicology, Pharmacology and Spectroscopy. According to data from OpenAlex, Moon Kyo In has authored 47 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Toxicology, 13 papers in Pharmacology and 12 papers in Spectroscopy. Recurrent topics in Moon Kyo In's work include Forensic Toxicology and Drug Analysis (32 papers), Cannabis and Cannabinoid Research (12 papers) and Psychedelics and Drug Studies (11 papers). Moon Kyo In is often cited by papers focused on Forensic Toxicology and Drug Analysis (32 papers), Cannabis and Cannabinoid Research (12 papers) and Psychedelics and Drug Studies (11 papers). Moon Kyo In collaborates with scholars based in South Korea. Moon Kyo In's co-authors include Jin Young Kim, Ki‐Jung Paeng, Jae Il Lee, Bong Chul Chung, Hye Hyun Yoo, Hye Suk Lee, Jin Young Kim, Hee Seung Kim, Jaeick Lee and Min Kyoung Kim and has published in prestigious journals such as Journal of Chromatography A, Molecules and Analytical and Bioanalytical Chemistry.

In The Last Decade

Moon Kyo In

46 papers receiving 719 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moon Kyo In South Korea 18 411 197 160 141 120 47 752
Jin Young Kim South Korea 16 342 0.8× 168 0.9× 129 0.8× 134 1.0× 109 0.9× 53 681
Luca Anzillotti Italy 15 528 1.3× 209 1.1× 166 1.0× 135 1.0× 130 1.1× 27 785
Giampietro Frison Italy 20 482 1.2× 256 1.3× 165 1.0× 219 1.6× 122 1.0× 48 929
Claudia Vignali Italy 18 529 1.3× 160 0.8× 91 0.6× 132 0.9× 83 0.7× 49 783
Camilla Montesano Italy 22 485 1.2× 281 1.4× 214 1.3× 271 1.9× 234 1.9× 62 1.1k
Tim Sobolevsky United States 14 350 0.9× 221 1.1× 288 1.8× 165 1.2× 64 0.5× 31 827
Yan Shi China 18 334 0.8× 175 0.9× 73 0.5× 267 1.9× 84 0.7× 76 796
Adolfo Gregori Italy 19 438 1.1× 216 1.1× 182 1.1× 192 1.4× 167 1.4× 37 892
Sebastian Broecker Germany 13 471 1.1× 200 1.0× 265 1.7× 211 1.5× 57 0.5× 18 702
Daniela Remane Germany 14 462 1.1× 393 2.0× 112 0.7× 368 2.6× 148 1.2× 20 998

Countries citing papers authored by Moon Kyo In

Since Specialization
Citations

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

Fields of papers citing papers by Moon Kyo In

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moon Kyo In. 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 Moon Kyo In. The network helps show where Moon Kyo In may publish in the future.

Co-authorship network of co-authors of Moon Kyo In

This figure shows the co-authorship network connecting the top 25 collaborators of Moon Kyo In. A scholar is included among the top collaborators of Moon Kyo In based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Moon Kyo In. Moon Kyo In is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Ju‐Hyun, et al.. (2017). Inhibition of cytochrome P450 and uridine 5′-diphospho-glucuronosyltransferases by MAM-2201 in human liver microsomes. Archives of Pharmacal Research. 40(6). 727–735. 11 indexed citations
2.
Kim, Ju Hyun, et al.. (2016). Rapid analysis of drugs of abuse and their metabolites in human urine using dilute and shoot liquid chromatography–tandem mass spectrometry. Archives of Pharmacal Research. 40(2). 180–196. 23 indexed citations
3.
Ko, Dae‐Hyun, Kyunghoon Lee, Sang Hoon Song, et al.. (2016). Simultaneous Measurement of Serum Chemical Castration Agents and Testosterone Levels Using Ultra-Performance Liquid Chromatography–Tandem Mass Spectrometry. Journal of Analytical Toxicology. 40(4). 294–303. 6 indexed citations
4.
Kim, Ju Hyun, Hee Seung Kim, Joo Young Lee, et al.. (2015). In vitro metabolism of a novel synthetic cannabinoid, EAM-2201, in human liver microsomes and human recombinant cytochrome P450s. Journal of Pharmaceutical and Biomedical Analysis. 119. 50–58. 26 indexed citations
5.
Kim, Jin Young, Wooil Kwon, Hyun Sook Kim, Sang Heon Suh, & Moon Kyo In. (2014). Estimation of Measurement Uncertainty for the Quantification of 11-Nor-Delta 9-Tetrahydrocannabinol-9-Carboxylic Acid and Its Glucuronide in Urine Using Liquid Chromatography-Tandem Mass Spectrometry. Journal of Analytical Toxicology. 38(3). 164–170. 12 indexed citations
6.
7.
Moon, Ju‐Yeon, et al.. (2013). Reference ranges for urinary levels of testosterone and epitestosterone, which may reveal gonadal function, in a Korean male population. The Journal of Steroid Biochemistry and Molecular Biology. 140. 100–105. 12 indexed citations
8.
Lee, Sangkyu, Hye Hyun Yoo, Moon Kyo In, Changbae Jin, & Dong‐Hyun Kim. (2013). Stereoselectivity in the cytochrome P450-dependent N-demethylation and flavin monooxygenase-dependent N-oxidation of N,N-dimethylamphetamine. Archives of Pharmacal Research. 36(11). 1385–1391. 6 indexed citations
9.
10.
Kim, Jin Young, et al.. (2011). Rapid and Simple GC–MS Method for Determination of Psychotropic Phenylalkylamine Derivatives in Nails Using Micro‐Pulverized Extraction*. Journal of Forensic Sciences. 57(1). 228–233. 12 indexed citations
11.
12.
13.
Kim, Jin Young, et al.. (2009). Simultaneous Determination of Amphetamine Derivatives and Norketamine in hair by GC-MS/MS. Analytical Science and Technology. 22(3). 210–218. 1 indexed citations
14.
Kim, Jin Young, et al.. (2008). Simultaneous determination of amphetamine-like drugs in human urine by SPE and GC/MS. Analytical Science and Technology. 21(1). 41–47. 1 indexed citations
15.
Kim, Jin Young, et al.. (2008). Simultaneous determination of amphetamine-type stimulants and cannabinoids in fingernails by gas chromatography-mass spectrometry. Archives of Pharmacal Research. 31(6). 805–813. 24 indexed citations
16.
Moon, Ju-Yeon, Jin Young Kim, Myeong Hee Moon, et al.. (2008). Validated gas chromatographic–mass spectrometric analysis of urinary cannabinoids purified with a calcium-hardened β-cyclodextrin polymer. Journal of Chromatography A. 1204(1). 87–92. 16 indexed citations
17.
Kim, Jin Young, et al.. (2007). Simultaneous determination of psychotropic phenylalkylamine derivatives in human hair by gas chromatography/mass spectrometry. Rapid Communications in Mass Spectrometry. 21(11). 1705–1720. 40 indexed citations
18.
In, Moon Kyo, et al.. (2007). The impurity characteristics of methamphetamine synthesized by Emde and Nagai method. Forensic Science International. 170(2-3). 142–147. 31 indexed citations
19.
Kim, Jin Young, et al.. (2006). Determination of 11-nor-9-carboxy-Δ 9 -tetrahydrocannabinol (THCCOOH) in human urine by solid-phase extraction and GC/MS. Analytical Science and Technology. 19(5). 441–448. 1 indexed citations
20.
Kim, Jin Young, Moon Kyo In, Ki‐Jung Paeng, & Bong Chul Chung. (2004). Simultaneous Determination of Nalbuphine and Opiates in Human Hair by Gas Chromatography-Mass Spectrometry. Chromatographia. 59(3-4). 219–226. 17 indexed citations

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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