Min Hoan Moon
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment 16
- Endometriosis Research and Treatment 6
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments 7
- Neurology top 10%
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- MRI in cancer diagnosis 11
- Radiomics and Machine Learning in Medical Imaging 5
- Radiation Dose and Imaging 5
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- Prostate Cancer Diagnosis and Treatment 7
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- Prenatal Screening and Diagnostics 5
- Co-authors
- Jeong Yeon ChoSeung Hyup KimSang Youn KimInhee Mook‐JungSun O ChangCheolkeun HaSungmin WooChang Kyu Sung
- Journals
- Journal of Neuroscience (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)
- Partner nations
- South KoreaEthiopiaPuerto Rico
In The Last Decade
Min Hoan Moon
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Reproductive Medicine 227
- Obstetrics and Gynecology 190
- Neurology 129
- Radiology, Nuclear Medicine and Imaging 225
- Pulmonary and Respiratory Medicine 304
Countries citing papers authored by Min Hoan Moon
This map shows the geographic impact of Min Hoan 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 Min Hoan Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Hoan Moon more than expected).
Fields of papers citing papers by Min Hoan Moon
This network shows the impact of papers produced by Min Hoan 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 Min Hoan Moon. The network helps show where Min Hoan Moon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min Hoan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2020 | 14 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 13 | |
| 9 | 2014 | 20 | |
| 10 | Role of Ultrasound Volume Measurements of Testes in Evaluation of Infertile Men with Azoospermia. | 2012 | 3 |
| 11 | 2012 | 221 | |
| 12 | 2009 | 27 | |
| 13 | 2009 | 11 | |
| 14 | Characteristic sonographic vesicular pattern of a complete hydatidiform mole in the early first trimester. | 2008 | 3 |
| 15 | 2008 | 4 | |
| 16 | 2006 | 9 | |
| 17 | 2006 | 7 | |
| 18 | 2002 | 19 | |
| 19 | 2001 | 12 | |
| 20 | 2001 | 3 |
About Min Hoan Moon
Min Hoan Moon is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (16 papers), MRI in cancer diagnosis (11 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Endometrial and Cervical Cancer Treatments (7 papers), Endometriosis Research and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Radiation Dose and Imaging (5 papers) and Prenatal Screening and Diagnostics (5 papers). The work is most often cited by research in Reproductive Medicine (227 citations), Obstetrics and Gynecology (190 citations) and Neurology (129 citations). Min Hoan Moon has collaborated with scholars based in South Korea, Ethiopia and Puerto Rico. Frequent co-authors include Jeong Yeon Cho, Seung Hyup Kim, Sang Youn Kim, Inhee Mook‐Jung, Sun O Chang, Cheolkeun Ha, Sungmin Woo, Chang Kyu Sung, Chong Hyun Suh and Ju Tae Seo. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.
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.