Jong‐Hyeon Jeong
- Cancer Research top 0.05%
- Breast Cancer Treatment Studies 32
- Pathology and Forensic Medicine top 0.1%
- Breast Lesions and Carcinomas 9
- Oncology top 0.2%
- HER2/EGFR in Cancer Research 19
- Cancer Treatment and Pharmacology 9
- Radiation top 0.5%
- Otorhinolaryngology top 1%
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- Statistical Methods and Inference 34
- Statistical Methods in Clinical Trials 17
- Statistical Methods and Bayesian Inference 15
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- Estrogen and related hormone effects 9
- Co-authors
- Norman WolmarkStewart AndersonBernard FisherJohn BryantEdwin R. FisherMelvin DeutschRichard G. MargoleseEleftherios P. Mamounas
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Jong‐Hyeon Jeong
132 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Cancer Research 7.5k
- Pathology and Forensic Medicine 3.5k
- Oncology 5.0k
- Radiation 769
- Otorhinolaryngology 340
Countries citing papers authored by Jong‐Hyeon Jeong
This map shows the geographic impact of Jong‐Hyeon Jeong'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 Jong‐Hyeon Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Hyeon Jeong more than expected).
Fields of papers citing papers by Jong‐Hyeon Jeong
This network shows the impact of papers produced by Jong‐Hyeon Jeong. 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 Jong‐Hyeon Jeong. The network helps show where Jong‐Hyeon Jeong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jong‐Hyeon Jeong, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 0 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 6 | |
| 10 | 2016 | 12 | |
| 11 | 2016 | 57 | |
| 12 | 2015 | 33 | |
| 13 | 2015 | 3 | |
| 14 | 2013 | 3 | |
| 15 | MAXIMUM LIKELIHOOD ESTIMATION OF OPTIMAL WEIGHT FUNCTION FOR WEIGHTED LOG-RANK TEST | 2012 | 1 |
| 16 | 2010 | 10 | |
| 17 | 2010 | 14 | |
| 18 | On the asymptotic relative efficiency of estimates from Cox's model | 2003 | 3 |
| 19 | 2003 | 9 | |
| 20 | 1998 | 14 |
About Jong‐Hyeon Jeong
Jong‐Hyeon Jeong is a scholar working on Statistics and Probability, Cancer Research and Otorhinolaryngology, having authored 138 papers that have together received 11.7k indexed citations. Recurring topics across this work include Statistical Methods and Inference (34 papers), Breast Cancer Treatment Studies (32 papers), HER2/EGFR in Cancer Research (19 papers), Statistical Methods in Clinical Trials (17 papers), Statistical Methods and Bayesian Inference (15 papers), Estrogen and related hormone effects (9 papers), Breast Lesions and Carcinomas (9 papers) and Cancer Treatment and Pharmacology (9 papers). The work is most often cited by research in Cancer Research (7.5k citations), Pathology and Forensic Medicine (3.5k citations) and Oncology (5.0k citations). Jong‐Hyeon Jeong has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Norman Wolmark, Stewart Anderson, Bernard Fisher, John Bryant, Edwin R. Fisher, Melvin Deutsch, Richard G. Margolese, Eleftherios P. Mamounas, Charles E. Geyer and Edward H. Romond. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.