Seong‐Kyu Han
- Reproductive Medicine top 0.2%
- Molecular Biology top 10%
- Genetics top 5%
- Social Psychology top 5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Allan E. HerbisonMartin G. TodmanRobert A. SteinerSimina M. PopaJ. T. SmithDonald K. CliftonMichelle L. GottschIstván M. Ábrahám
- Topics
- Hypothalamic control of reproductive hormones (11 papers)Neuroendocrine regulation and behavior (4 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceBiochemical and Biophysical Research Communications
- Partner nations
- South KoreaNew ZealandUnited Kingdom
In The Last Decade
Seong‐Kyu Han
20 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Reproductive Medicine 1.5k
- Molecular Biology 733
- Genetics 508
- Social Psychology 412
- Endocrine and Autonomic Systems 388
Countries citing papers authored by Seong‐Kyu Han
This map shows the geographic impact of Seong‐Kyu Han'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 Seong‐Kyu Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong‐Kyu Han more than expected).
Fields of papers citing papers by Seong‐Kyu Han
This network shows the impact of papers produced by Seong‐Kyu Han. 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 Seong‐Kyu Han. The network helps show where Seong‐Kyu Han may publish in the future.
Co-authorship network of co-authors of Seong‐Kyu Han
This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Kyu Han. A scholar is included among the top collaborators of Seong‐Kyu Han 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 Seong‐Kyu Han. Seong‐Kyu Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 99 | |
| 7 | 102 | |
| 8 | 47 | |
| 9 | 40 | |
| 10 | 89 | |
| 11 | 19 | |
| 12 | 11 | |
| 13 | Activation of Gonadotropin-Releasing Hormone Neurons by Kisspeptin as a Neuroendocrine Switch for the Onset of Pubertybreakdown → | 811 |
| 14 | 77 | |
| 15 | 6 | |
| 16 | 99 | |
| 17 | 118 | |
| 18 | 187 | |
| 19 | 152 | |
| 20 | 143 |
About Seong‐Kyu Han
Seong‐Kyu Han is a scholar working on Reproductive Medicine, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (11 papers), Neuroendocrine regulation and behavior (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Reproductive Medicine (1.5k citations), Endocrine and Autonomic Systems (388 citations) and Behavioral Neuroscience (168 citations). Seong‐Kyu Han has collaborated with scholars based in South Korea, New Zealand and United Kingdom. Frequent co-authors include Allan E. Herbison, Martin G. Todman, Robert A. Steiner, Simina M. Popa, J. T. Smith, Donald K. Clifton, Michelle L. Gottsch, István M. Ábrahám, Kenneth S. Korach and Rebecca E. Campbell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Biochemical and Biophysical Research Communications.
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.