Mi Jin Moon
Impact in
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Receptor Mechanisms and Signaling 11
- Plant Reproductive Biology 3
-
- Neuropeptides and Animal Physiology 7
- Co-authors
- Jae Young Seong (20 shared papers)Jong‐Ik Hwang (18 shared papers)Hubert Vaudry (4 shared papers)Hyuk Bang Kwon (6 shared papers)Sumi Park (7 shared papers)Eun Bee Cho (7 shared papers)Da Young Oh (4 shared papers)Kenta Tsunekawa (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)General and Comparative Endocrinology (3 papers)Molecules and Cells (2 papers)PLoS ONE (2 papers)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- South KoreaFranceJapan
In The Last Decade
Mi Jin Moon
21 papers receiving 787 citations
Peers
Comparison fields: 5 of 67
- Reproductive Medicine 291
- Physiology 102
- Cellular and Molecular Neuroscience 250
- Endocrinology, Diabetes and Metabolism 155
- Endocrine and Autonomic Systems 60
Countries citing papers authored by Mi Jin Moon
This map shows the geographic impact of Mi Jin Moon'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 Mi Jin Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Jin Moon more than expected).
Fields of papers citing papers by Mi Jin Moon
This network shows the impact of papers produced by Mi Jin Moon. 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 Mi Jin Moon. The network helps show where Mi Jin Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi Jin Moon, 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 | 2009 | 190 | |
| 2 | 2008 | 113 | |
| 3 | 2010 | 83 | |
| 4 | 2013 | 47 | |
| 5 | 2012 | 43 | |
| 6 | 2004 | 36 | |
| 7 | 2006 | 34 | |
| 8 | 2012 | 33 | |
| 9 | 2013 | 27 | |
| 10 | 2014 | 26 | |
| 11 | 2015 | 22 | |
| 12 | 2012 | 21 | |
| 13 | 2014 | 19 | |
| 14 | 2011 | 18 | |
| 15 | 2014 | 18 | |
| 16 | 2007 | 18 | |
| 17 | 2010 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2011 | 10 | |
| 20 | 2018 | 7 |
About Mi Jin Moon
Mi Jin Moon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Surgery, having authored 21 papers that have together received 797 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Diabetes Treatment and Management (9 papers), Neuropeptides and Animal Physiology (7 papers), Hypothalamic control of reproductive hormones (6 papers), Pancreatic function and diabetes (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Plant Reproductive Biology (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Reproductive Medicine (291 citations), Physiology (102 citations), Cellular and Molecular Neuroscience (250 citations), Endocrinology, Diabetes and Metabolism (155 citations) and Endocrine and Autonomic Systems (60 citations). Mi Jin Moon has collaborated with scholars based in South Korea, France and Japan. Frequent co-authors include Jae Young Seong, Jong‐Ik Hwang, Hubert Vaudry, Hyuk Bang Kwon, Sumi Park, Eun Bee Cho, Da Young Oh, Kenta Tsunekawa, Tomohiro Osugi and Kazuyoshi Tsutsui. Their work appears in journals such as Journal of Biological Chemistry, General and Comparative Endocrinology, Molecules and Cells, PLoS ONE and Journal of Cellular Biochemistry.
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.