Seungjoon Park
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 2%
- Software top 0.5%
- Computational Theory and Mathematics top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Willem VisserGuillaume BratKlaus HavelundMinho MoonFlavio LerdaHyunju ChungSehee KimRhonda D. Kineman
- Topics
- Regulation of Appetite and Obesity (26 papers)Growth Hormone and Insulin-like Growth Factors (16 papers)Adipose Tissue and Metabolism (14 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Seungjoon Park
61 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Endocrine and Autonomic Systems 1.1k
- Physiology 863
- Software 776
- Computational Theory and Mathematics 563
- Endocrinology, Diabetes and Metabolism 542
Countries citing papers authored by Seungjoon Park
This map shows the geographic impact of Seungjoon Park'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 Seungjoon Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungjoon Park more than expected).
Fields of papers citing papers by Seungjoon Park
This network shows the impact of papers produced by Seungjoon Park. 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 Seungjoon Park. The network helps show where Seungjoon Park may publish in the future.
Co-authorship network of co-authors of Seungjoon Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seungjoon Park. A scholar is included among the top collaborators of Seungjoon Park 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 Seungjoon Park. Seungjoon Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 27 | |
| 4 | 61 | |
| 5 | 25 | |
| 6 | 16 | |
| 7 | 100 | |
| 8 | 173 | |
| 9 | 235 | |
| 10 | 41 | |
| 11 | 133 | |
| 12 | 12 | |
| 13 | 72 | |
| 14 | 176 | |
| 15 | 9 | |
| 16 | 29 | |
| 17 | 48 | |
| 18 | Modulation of Pituitary Somatostatin Receptor Subtype (sst1-5) mRNA Levels by Growth Hormone (GH)-Releasing Hormone in Purified Somatotropes | 1 |
| 19 | 45 | |
| 20 | 78 |
About Seungjoon Park
Seungjoon Park is a scholar working on Endocrine and Autonomic Systems, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (26 papers), Growth Hormone and Insulin-like Growth Factors (16 papers) and Adipose Tissue and Metabolism (14 papers). The work is most often cited by research in Software (776 citations), Endocrine and Autonomic Systems (1.1k citations) and Developmental Neuroscience (245 citations). Seungjoon Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Willem Visser, Guillaume Brat, Klaus Havelund, Minho Moon, Flavio Lerda, Hyunju Chung, Sehee Kim, Rhonda D. Kineman, Sanghee Seo and David L. Dill. Their work appears in journals such as International Journal of Molecular Sciences, Endocrinology and Molecules.
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.