Seok‐Hwan Song
- Reproductive Medicine top 10%
- Sperm and Testicular Function 5
-
- Reproductive Biology and Fertility 17
- Geriatrics and Gerontology top 10%
-
- Reproductive Physiology in Livestock 4
-
- Reproductive System and Pregnancy 6
-
- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 6
-
- Animal Genetics and Reproduction 6
-
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Il‐Keun KongKyeong‐Lim LeeAyman MesalamImran KhanMyeong‐Don JooMuhammad IdreesShimin ZhangZia Uddin
- Cited by
- Reproductive MedicinePublic Health, Environmental and Occupational HealthGeriatrics and Gerontology
- Journals
- Theriogenology (7 papers)International Journal of Molecular Sciences (3 papers)Reproduction Fertility and Development (3 papers)
- Partner nations
- South KoreaEgyptChina
In The Last Decade
Seok‐Hwan Song
28 papers receiving 385 citations
Peers
Comparison fields: 5 of 69
- Reproductive Medicine 93
- Public Health, Environmental and Occupational Health 203
- Geriatrics and Gerontology 27
- Agronomy and Crop Science 35
- Immunology 64
Countries citing papers authored by Seok‐Hwan Song
This map shows the geographic impact of Seok‐Hwan Song'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 Seok‐Hwan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seok‐Hwan Song more than expected).
Fields of papers citing papers by Seok‐Hwan Song
This network shows the impact of papers produced by Seok‐Hwan Song. 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 Seok‐Hwan Song. The network helps show where Seok‐Hwan Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Seok‐Hwan Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 7 | |
| 2 | 2021 | 12 | |
| 3 | 2021 | 4 | |
| 4 | 2020 | 11 | |
| 5 | 2020 | 1 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 27 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 22 | |
| 11 | 2019 | 11 | |
| 12 | 2018 | 18 | |
| 13 | 2018 | 21 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 33 | |
| 16 | 2017 | 34 | |
| 17 | 2017 | 30 | |
| 18 | 2017 | 27 | |
| 19 | 2016 | 1 | |
| 20 | 2014 | 7 |
About Seok‐Hwan Song
Seok‐Hwan Song is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Geriatrics and Gerontology, having authored 28 papers that have together received 388 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (17 papers), Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (6 papers), Reproductive System and Pregnancy (6 papers), Animal Genetics and Reproduction (6 papers), Sperm and Testicular Function (5 papers), Reproductive Physiology in Livestock (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Reproductive Medicine (93 citations), Public Health, Environmental and Occupational Health (203 citations) and Geriatrics and Gerontology (27 citations). Seok‐Hwan Song has collaborated with scholars based in South Korea, Egypt and China. Frequent co-authors include Il‐Keun Kong, Kyeong‐Lim Lee, Ayman Mesalam, Imran Khan, Myeong‐Don Joo, Muhammad Idrees, Shimin Zhang, Zia Uddin, Ki Hun Park and Zhongde Wang. Their work appears in journals such as Theriogenology, International Journal of Molecular Sciences, Reproduction Fertility and Development, Journal of Visualized Experiments and Cells.
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.