Nam-Hoon Cho
- Gender Studies top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Demography top 5%
- Sociology and Political Science
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Chai Bin ParkHeung‐Kook ChoiSubrata BhattacharjeeNuwan MadusankaEwert BengtssonGoo‐Bo JeongSeung‐Hyun JungSung-Kil Lim
- Topics
- AI in cancer detection (11 papers)Demographic Trends and Gender Preferences (9 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
- Partner nations
- South KoreaSwedenSri Lanka
In The Last Decade
Nam-Hoon Cho
35 papers receiving 556 citations
Peers
Comparison fields: 5 of 108
- Gender Studies 261
- Pediatrics, Perinatology and Child Health 188
- Demography 118
- Sociology and Political Science 99
- Radiology, Nuclear Medicine and Imaging 91
Countries citing papers authored by Nam-Hoon Cho
This map shows the geographic impact of Nam-Hoon Cho'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-Hoon Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nam-Hoon Cho more than expected).
Fields of papers citing papers by Nam-Hoon Cho
This network shows the impact of papers produced by Nam-Hoon Cho. 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-Hoon Cho. The network helps show where Nam-Hoon Cho may publish in the future.
Co-authorship network of co-authors of Nam-Hoon Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Nam-Hoon Cho. A scholar is included among the top collaborators of Nam-Hoon Cho 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-Hoon Cho. Nam-Hoon Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 14 | |
| 4 | 12 | |
| 5 | 19 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 29 | |
| 9 | 45 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | ISUP/WHO Classification of Papillary Urothelial Neoplasms of Urinary Bladder: Consensus Study Conducted by Korean Society of Urogenital Pathology | 1 |
| 15 | 16 | |
| 16 | 254 | |
| 17 | Gender Preference and Sex Imbalance in the Population and Their Implications in Korea | 9 |
| 18 | Changes in the Determinants of Fertility in Korea | 2 |
| 19 | An Overview of National Family Planning Program in Korea - A Summary Explanation - | 2 |
| 20 | Korean Experience with Population Control Policy and Family Planning Program Management and Operation | 0 |
About Nam-Hoon Cho
Nam-Hoon Cho is a scholar working on Gender Studies, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 608 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Demographic Trends and Gender Preferences (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Gender Studies (261 citations), Demography (118 citations) and Pediatrics, Perinatology and Child Health (188 citations). Nam-Hoon Cho has collaborated with scholars based in South Korea, Sweden and Sri Lanka. Frequent co-authors include Chai Bin Park, Heung‐Kook Choi, Subrata Bhattacharjee, Nuwan Madusanka, Ewert Bengtsson, Goo‐Bo Jeong, Seung‐Hyun Jung, Sung-Kil Lim, Han‐Sung Jung and Hee‐Cheol Kim. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports and Nutrients.
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.