Ju-Yeon Moon

499 citations
21 papers · 408 · h-index 14

Impact in

Papers in

Ju-Yeon Moon

20 papers receiving 395 citations

Peers

Ju-Yeon Moon
Comparison fields: 5 of 92
  • Pharmacology 76
  • Endocrinology, Diabetes and Metabolism 106
  • Obstetrics and Gynecology 39
  • Spectroscopy 70
  • Biochemistry 23
Replace Ju‐Yeon Moon with:
Ju‐Yeon Moon South Korea
Saul L. Cohen United States
Lucie Svecova Czechia
M. Nishida Japan
Catherine F. Jacobson United States
Li Shizhen China
Alfred M. Nyanda United States
Hui-Ming Chen China
Paweł Dereziński Poland
G. Cooley United Kingdom
Ju-Yeon Moon relative to Ju‐Yeon Moon South Korea Ju‐Yeon Moon's profile →
Citations per field
00.5×7.8×
Ju‐Yeon Moon · 1×
Citations per year

Countries citing papers authored by Ju-Yeon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Ju-Yeon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju-Yeon Moon. 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 Ju-Yeon Moon. The network helps show where Ju-Yeon Moon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200973
2 201333
3 201632
4 200831
5 201828
6 201926
7 201626
8 201324
9 199922
10 201520
11 201017
12 200816
13 201716
14 201315
15 201713
16 20116
17 20134
18 20173
19 19951
20 20131

About Ju-Yeon Moon

Ju-Yeon Moon is a scholar working on Endocrinology, Diabetes and Metabolism, Spectroscopy, Pharmacology, Molecular Biology and Obstetrics and Gynecology, having authored 21 papers that have together received 408 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Pregnancy and preeclampsia studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Estrogen and related hormone effects (3 papers), Analytical Chemistry and Chromatography (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pharmacology (76 citations), Endocrinology, Diabetes and Metabolism (106 citations), Obstetrics and Gynecology (39 citations), Spectroscopy (70 citations) and Biochemistry (23 citations). Ju-Yeon Moon has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Man Ho Choi, Bong Chul Chung, Myeong Hee Moon, Hironobu Sasano, Joo‐Youn Cho, In‐Jin Jang, Kyung‐Sang Yu, Mi-Jung Park, Dae Hoon Jeong and Young Nam Kim. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, The AAPS Journal, Materials Letters, Cancer Epidemiology Biomarkers & Prevention and Steroids.

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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