Min An
Impact in
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
-
- Congenital heart defects research 2
- Cancer-related gene regulation 2
- Developmental Biology and Gene Regulation 2
- RNA Research and Splicing 2
-
- Pharmacological Effects of Medicinal Plants 2
- Co-authors
- Paul D. Henion (4 shared papers)Brigitte L. Arduini (1 shared paper)Jae Hee Cheon (4 shared papers)Won Ho Kim (4 shared papers)Seung Won Kim (3 shared papers)Tae Il Kim (4 shared papers)Christine E. Beattie (4 shared papers)Eun Soo Kim (2 shared papers)
- Journals
- Developmental Dynamics (2 papers)International Journal of Oncology (2 papers)Cancer Letters (1 paper)Neuro-Oncology (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Min An
19 papers receiving 676 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 138
- Developmental Neuroscience 26
- Molecular Biology 434
- Cancer Research 86
- Genetics 57
Countries citing papers authored by Min An
This map shows the geographic impact of Min An'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 Min An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min An more than expected).
Fields of papers citing papers by Min An
This network shows the impact of papers produced by Min An. 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 Min An. The network helps show where Min An may publish in the future.
Co-authors
The 25 scholars most cited alongside Min An, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 119 | |
| 2 | 2010 | 88 | |
| 3 | 2017 | 82 | |
| 4 | 2002 | 79 | |
| 5 | 2009 | 57 | |
| 6 | 2009 | 41 | |
| 7 | 2017 | 38 | |
| 8 | 2017 | 38 | |
| 9 | 2012 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2000 | 23 | |
| 12 | 2016 | 16 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2012 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2008 | 1 | |
| 19 | 1994 | 1 | |
| 20 | [Electrofusion of two-cell embryos of rabbit and their developmental capacity in vitro]. | 1993 | 1 |
About Min An
Min An is a scholar working on Molecular Biology, Pharmacology, Immunology, Oncology and Cell Biology, having authored 21 papers that have together received 684 indexed citations. Recurring topics across this work include Congenital heart defects research (2 papers), Pharmacological Effects of Medicinal Plants (2 papers), Cancer-related gene regulation (2 papers), Cancer Cells and Metastasis (2 papers), Developmental Biology and Gene Regulation (2 papers), RNA Research and Splicing (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Cell Biology (138 citations), Developmental Neuroscience (26 citations), Molecular Biology (434 citations), Cancer Research (86 citations) and Genetics (57 citations). Min An has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Paul D. Henion, Brigitte L. Arduini, Jae Hee Cheon, Won Ho Kim, Seung Won Kim, Tae Il Kim, Christine E. Beattie, Eun Soo Kim, Jae Jun Park and Alessandra M. Welker. Their work appears in journals such as Developmental Dynamics, International Journal of Oncology, Cancer Letters, Neuro-Oncology and Neuroscience.
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.