Bo‐Woong Sim
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Aging top 10%
Papers in
-
- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 8
- Epigenetics and DNA Methylation 6
- Renal and related cancers 5
-
- Reproductive Biology and Fertility 30
- Co-authors
- Bong‐Seok Song (46 shared papers)Sun‐Uk Kim (41 shared papers)Pil‐Soo Jeong (31 shared papers)Sang‐Rae Lee (25 shared papers)Younghyun Kim (21 shared papers)Jae‐Won Huh (19 shared papers)Young‐Ho Park (17 shared papers)Ji-Su Kim (19 shared papers)
- Journals
- International Journal of Molecular Sciences (5 papers)Reproduction (3 papers)Reproduction Fertility and Development (3 papers)PLoS ONE (3 papers)Molecules and Cells (2 papers)
- Partner nations
- South KoreaJapanIreland
In The Last Decade
Bo‐Woong Sim
58 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Reproductive Medicine 168
- Aging 31
- Public Health, Environmental and Occupational Health 366
- Molecular Biology 513
- Cell Biology 106
Countries citing papers authored by Bo‐Woong Sim
This map shows the geographic impact of Bo‐Woong Sim'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 Bo‐Woong Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo‐Woong Sim more than expected).
Fields of papers citing papers by Bo‐Woong Sim
This network shows the impact of papers produced by Bo‐Woong Sim. 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 Bo‐Woong Sim. The network helps show where Bo‐Woong Sim may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo‐Woong Sim, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 116 | |
| 2 | 2021 | 77 | |
| 3 | 2014 | 77 | |
| 4 | 2012 | 70 | |
| 5 | 2013 | 46 | |
| 6 | 2020 | 33 | |
| 7 | 2015 | 32 | |
| 8 | 2017 | 30 | |
| 9 | 2012 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 24 | |
| 13 | 2013 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2018 | 19 | |
| 16 | 2022 | 17 | |
| 17 | 1998 | 17 | |
| 18 | 2020 | 17 | |
| 19 | 2021 | 16 | |
| 20 | 2020 | 16 |
About Bo‐Woong Sim
Bo‐Woong Sim is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Reproductive Medicine and Cell Biology, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (30 papers), Pluripotent Stem Cells Research (12 papers), Sperm and Testicular Function (9 papers), CRISPR and Genetic Engineering (8 papers), Epigenetics and DNA Methylation (6 papers), Animal Genetics and Reproduction (6 papers), Renal and related cancers (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). The work is most often cited by research in Reproductive Medicine (168 citations), Aging (31 citations), Public Health, Environmental and Occupational Health (366 citations), Molecular Biology (513 citations) and Cell Biology (106 citations). Bo‐Woong Sim has collaborated with scholars based in South Korea, Japan and Ireland. Frequent co-authors include Bong‐Seok Song, Sun‐Uk Kim, Pil‐Soo Jeong, Sang‐Rae Lee, Younghyun Kim, Jae‐Won Huh, Young‐Ho Park, Ji-Su Kim, Hyo‐Gu Kang and Sanghoon Lee. Their work appears in journals such as International Journal of Molecular Sciences, Reproduction, Reproduction Fertility and Development, PLoS ONE and Molecules 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.