Nam‐Hyung Kim
- Molecular Biology top 2%
- Public Health, Environmental and Occupational Health top 0.2%
- Reproductive Medicine top 0.5%
- Genetics top 2%
- Cell Biology top 1%
- Co-authors
- Xiang‐Shun CuiShao‐Chen SunShuang LiangYong‐Nan XuYong-Xun JinXing‐Hui ShenSeung‐Eun LeeMinghui Zhao
- Topics
- Reproductive Biology and Fertility (169 papers)Pluripotent Stem Cells Research (55 papers)Microtubule and mitosis dynamics (50 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Nam‐Hyung Kim
260 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 129
- Molecular Biology 2.9k
- Public Health, Environmental and Occupational Health 2.8k
- Reproductive Medicine 1.2k
- Genetics 948
- Cell Biology 920
Countries citing papers authored by Nam‐Hyung Kim
This map shows the geographic impact of Nam‐Hyung Kim'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 Nam‐Hyung Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nam‐Hyung Kim more than expected).
Fields of papers citing papers by Nam‐Hyung Kim
This network shows the impact of papers produced by Nam‐Hyung Kim. 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 Nam‐Hyung Kim. The network helps show where Nam‐Hyung Kim may publish in the future.
Co-authorship network of co-authors of Nam‐Hyung Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Nam‐Hyung Kim. A scholar is included among the top collaborators of Nam‐Hyung Kim 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 Nam‐Hyung Kim. Nam‐Hyung Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 12 | |
| 6 | 17 | |
| 7 | 9 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 13 | |
| 12 | 47 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | Factors Effecting on Artificial Insemination in Multi-Parturition Cattle | 3 |
| 16 | 7 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | Elimination of Phenthoate Residues in the Washing and Cooking of Polished Rice | 8 |
| 20 | Computation of Theoretical Maximum Daily Intake and Safety Index of Pesticides by Korean Population | 7 |
About Nam‐Hyung Kim
Nam‐Hyung Kim is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Aging, having authored 263 papers that have together received 5.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (169 papers), Pluripotent Stem Cells Research (55 papers) and Microtubule and mitosis dynamics (50 papers). The work is most often cited by research in Reproductive Medicine (1.2k citations), Public Health, Environmental and Occupational Health (2.8k citations) and Aging (141 citations). Nam‐Hyung Kim has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Xiang‐Shun Cui, Shao‐Chen Sun, Shuang Liang, Yong‐Nan Xu, Yong-Xun Jin, Xing‐Hui Shen, Seung‐Eun Lee, Minghui Zhao, Suk Namgoong and Yu‐Jin Jo. Their work appears in journals such as PLoS ONE, Development and Scientific Reports.
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.