Jee‐Young Oh

1.3k citations
19 papers · 1.0k · h-index 12

Impact in

Papers in

Jee‐Young Oh

19 papers receiving 980 citations

Peers

Jee‐Young Oh
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 479
  • Reproductive Medicine 206
  • Pathology and Forensic Medicine 150
  • Pharmacology 118
  • Behavioral Neuroscience 15
Replace Elisabeth Wehr with:
Elisabeth Wehr Austria
Lisa M. Neff United States
Roberto Bruzziches Italy
Filippo Leonardo Italy
Elena Cerquetani Italy
William S. Campbell United States
Mary-Ann Lumsden United Kingdom
Kaye A. Griffiths Australia
C.M. Champagne United States
F. C. W. Wu United Kingdom
Jee‐Young Oh relative to Elisabeth Wehr Austria Elisabeth Wehr's profile →
Citations per field
00.5×3.7×
Elisabeth Wehr · 1×
Citations per year

Countries citing papers authored by Jee‐Young Oh

Since Specialization
Citations

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

Fields of papers citing papers by Jee‐Young Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2002484
2 2002167
3 2013119
4 201435
5 201234
6 201628
7 200226
8 201622
9 201518
10 201317
11 200714
12 200913
13 200511
14 20069
15 20106
16 20126
17
The prevalence and phenotypes of polycystic ovary syndrome in Korean women
20103
18
The Effect of L-Carnitine Supplementation on the Dystrophic Muscle and Exercise Tolerance of Muscular Dystrophy (mdx) Mice
20053
19 20082

About Jee‐Young Oh

Jee‐Young Oh is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Physiology and Public Health, Environmental and Occupational Health, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Adipose Tissue and Metabolism (2 papers), Gestational Diabetes Research and Management (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Hormonal and reproductive studies (1 paper), Muscle Physiology and Disorders (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (479 citations), Reproductive Medicine (206 citations), Pathology and Forensic Medicine (150 citations), Pharmacology (118 citations) and Behavioral Neuroscience (15 citations). Jee‐Young Oh has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Elizabeth Barrett‐Connor, Nicole M. Wedick, Deborah L. Wingard, Yeon‐Ah Sung, Hye Jin Lee, Hyejin Lee, Do Kyeong Song, Young Sun Hong, Matthew Allison and Elizabeth Barrett‐Connor. Their work appears in journals such as Diabetes & Metabolism Journal, Obesity, Diabetic Medicine, Diabetes Research and Clinical Practice and Circulation.

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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