Eun-Young Oh
- Endocrine and Autonomic Systems top 2%
- Physiology
- Molecular Biology
- Biophysics top 2%
- Aging top 5%
- Co-authors
- William J.M. HrusheskyPatricia A. WoodChristine AnsellXiaoming YangJovelyn Du‐QuitonFranklin G. BergerAndrew TaberKevin Carnevale
- Topics
- Circadian rhythm and melatonin (6 papers)Education and Learning Interventions (3 papers)Diverse Approaches in Healthcare and Education Studies (3 papers)
- Partner nations
- South KoreaUnited StatesRomania
In The Last Decade
Eun-Young Oh
27 papers receiving 676 citations
Peers
Comparison fields: 5 of 114
- Endocrine and Autonomic Systems 304
- Physiology 185
- Molecular Biology 147
- Biophysics 123
- Aging 69
Countries citing papers authored by Eun-Young Oh
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
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-authorship network of co-authors of Eun-Young Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Eun-Young Oh. A scholar is included among the top collaborators of Eun-Young Oh 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 Eun-Young Oh. Eun-Young Oh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | Research Trend Analysis on Job Stress of Hospital Nurses | 4 |
| 7 | 2 | |
| 8 | The Effects of Laughter Therapy on Stress Response and Coping for Specialized Burn Hospital Nurses | 4 |
| 9 | 8 | |
| 10 | A Transfusion Experience for a Patient with Cis-A2B3 Phenotype | 3 |
| 11 | 48 | |
| 12 | 151 | |
| 13 | 1 | |
| 14 | 65 | |
| 15 | 132 | |
| 16 | 6 | |
| 17 | 26 | |
| 18 | A Clinical Report about the Effect of Chungsangbangpungtang on Acne | 3 |
| 19 | A Reports on completely removed Nasal polyp by the more various Hanbang(韓方)-medicine | 0 |
| 20 | A Clinical Reports on Psoriasis | 2 |
About Eun-Young Oh
Eun-Young Oh is a scholar working on Leadership and Management, Research and Theory and Endocrine and Autonomic Systems, having authored 30 papers that have together received 708 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), Education and Learning Interventions (3 papers) and Diverse Approaches in Healthcare and Education Studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (304 citations), Aging (69 citations) and Structural Biology (49 citations). Eun-Young Oh has collaborated with scholars based in South Korea, United States and Romania. Frequent co-authors include William J.M. Hrushesky, Patricia A. Wood, Christine Ansell, Xiaoming Yang, Jovelyn Du‐Quiton, Franklin G. Berger, Andrew Taber, Kevin Carnevale, Maria Marjorette O. Peña and Benjamin Glass. Their work appears in journals such as Nature Biotechnology, Breast Cancer Research and Treatment and Applied Sciences.
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.