Eun-Young Oh

28 papers receiving 690 citations

Peers

Eun-Young Oh
Comparison fields: 5 of 113
  • Endocrine and Autonomic Systems 305
  • Aging 63
  • Structural Biology 50
  • Biophysics 125
  • Physiology 171
Replace Guangsen Shi with:
Guangsen Shi China
Yue Sun China
Deborah A. Ryan United States
Hae Won Kim South Korea
Jamie R. Flynn Australia
Allison S. Dobry United States
Megan Vaughan United States
Wenhao Liu China
Iliya V. Ivanov Germany
Süleyman Daşdağ Türkiye
Eun-Young Oh relative to Guangsen Shi China Guangsen Shi's profile →
Citations per field
00.5×10×15×17.9×
Guangsen Shi · 1×
Citations per year

Countries citing papers authored by Eun-Young Oh

Since Specialization
Citations

This map shows the geographic impact of Eun-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 Eun-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 Eun-Young Oh more than expected).

Fields of papers citing papers by Eun-Young Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017169
2 2008153
3 2008133
4 200866
5 201048
6 200626
7 202318
8 201817
9 201512
10 20219
11
THE EFFECT OF ADHD CHILD MOTHER'S DEPRESSIVE MOOD, PARENTING STRESS, AND PARENTING RELATED ATTITUDE ON PARENTING BEHAVIOR
20029
12 20118
13
Circadian transcription profile of mouse breast cancer under light-dark and dark-dark conditions.
20118
14
Research Trend Analysis on Job Stress of Hospital Nurses
20186
15 20076
16 20135
17
The Effects of Laughter Therapy on Stress Response and Coping for Specialized Burn Hospital Nurses
20114
18 20244
19
A Clinical Report about the Effect of Chungsangbangpungtang on Acne
20033
20
A Transfusion Experience for a Patient with Cis-A2B3 Phenotype
20103

About Eun-Young Oh

Eun-Young Oh is a scholar working on Endocrine and Autonomic Systems, Sociology and Political Science, Information Systems, Molecular Biology and Pharmacology, having authored 31 papers that have together received 722 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), Education and Learning Interventions (4 papers), Diverse Approaches in Healthcare and Education Studies (3 papers), Healthcare and Venom Research (3 papers), Healthcare Education and Workforce Issues (3 papers), Psychosocial Factors Impacting Youth (3 papers), Spaceflight effects on biology (2 papers) and Medical Research and Treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (305 citations), Aging (63 citations), Structural Biology (50 citations), Biophysics (125 citations) and Physiology (171 citations). Eun-Young Oh has collaborated with scholars based in South Korea, United States and Romania. Frequent co-authors include Patricia A. Wood, William J.M. Hrushesky, Christine Ansell, Xiaoming Yang, Jovelyn Du‐Quiton, Maria Marjorette O. Peña, Andrew Taber, Franklin G. Berger, Kevin Carnevale and Yongxin Zhao. Their work appears in journals such as Breast Cancer Research and Treatment, The Journal of Biochemistry, Applied Sciences, Nature Biotechnology and BMC Nursing.

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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