Jun Seok Son
Impact in
- Obstetrics and Gynecology top 5%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
- Physiology 11
- Adipose Tissue and Metabolism 9
- Pharmacology 10
- Apelin-related biomedical research 10
- Co-authors
- Min Du (21 shared papers)Song Ah Chae (19 shared papers)Mei‐Jun Zhu (15 shared papers)Jeanene M. de Avila (13 shared papers)Yanting Chen (9 shared papers)Liang Zhao (10 shared papers)Byunghun So (4 shared papers)Hyunjung Kim (1 shared paper)
- Journals
- The Journal of Physiology (2 papers)EBioMedicine (2 papers)Muscle & Nerve (2 papers)Journal of Cachexia Sarcopenia and Muscle (2 papers)Science Advances (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jun Seok Son
30 papers receiving 682 citations
Peers
Comparison fields: 5 of 75
- Obstetrics and Gynecology 97
- Physiology 305
- Rehabilitation 65
- Pediatrics, Perinatology and Child Health 146
- Pharmacology 81
Countries citing papers authored by Jun Seok Son
This map shows the geographic impact of Jun Seok Son'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 Jun Seok Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Seok Son more than expected).
Fields of papers citing papers by Jun Seok Son
This network shows the impact of papers produced by Jun Seok Son. 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 Jun Seok Son. The network helps show where Jun Seok Son may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Seok Son, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 116 | |
| 2 | 2020 | 73 | |
| 3 | 2019 | 63 | |
| 4 | 2020 | 41 | |
| 5 | 2020 | 36 | |
| 6 | 2017 | 35 | |
| 7 | 2017 | 32 | |
| 8 | 2020 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 2022 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 19 | |
| 14 | 2022 | 19 | |
| 15 | 2016 | 15 | |
| 16 | 2019 | 12 | |
| 17 | 2015 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2015 | 12 | |
| 20 | 2016 | 10 |
About Jun Seok Son
Jun Seok Son is a scholar working on Physiology, Pharmacology, Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 33 papers that have together received 687 indexed citations. Recurring topics across this work include Apelin-related biomedical research (10 papers), Adipose Tissue and Metabolism (9 papers), Birth, Development, and Health (9 papers), Pregnancy and preeclampsia studies (4 papers), Lipid metabolism and disorders (4 papers), Gestational Diabetes Research and Management (3 papers), Fatty Acid Research and Health (2 papers) and Health and Wellbeing Research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (97 citations), Physiology (305 citations), Rehabilitation (65 citations), Pediatrics, Perinatology and Child Health (146 citations) and Pharmacology (81 citations). Jun Seok Son has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Min Du, Song Ah Chae, Mei‐Jun Zhu, Jeanene M. de Avila, Yanting Chen, Liang Zhao, Byunghun So, Hyunjung Kim, Woo‐Jung Song and Dong-Hee Yoon. Their work appears in journals such as The Journal of Physiology, EBioMedicine, Muscle & Nerve, Journal of Cachexia Sarcopenia and Muscle and Science Advances.
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.