Heejung Bang
- Statistics and Probability top 0.2%
- Statistical Methods in Clinical Trials 13
- Reproductive Medicine top 0.5%
- Ovarian function and disorders 12
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- Diabetes, Cardiovascular Risks, and Lipoproteins 15
- Epidemiology top 1%
- Virology top 2%
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- Health Systems, Economic Evaluations, Quality of Life 20
- Healthcare Policy and Management 13
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- Reproductive Biology and Fertility 14
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- Meta-analysis and systematic reviews 14
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- Lipoproteins and Cardiovascular Health 13
- Co-authors
- James M. RobinsKutluk OktayAylin Pelin ÇilChristie M. BallantyneC.E. DavisAaron R. FolsomRon C. HoogeveenLiyun Ni
- Partner nations
- United StatesSouth KoreaBrazil
In The Last Decade
Heejung Bang
201 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Statistics and Probability 1.3k
- Reproductive Medicine 858
- Endocrinology, Diabetes and Metabolism 1.1k
- Epidemiology 2.2k
- Virology 302
Countries citing papers authored by Heejung Bang
This map shows the geographic impact of Heejung Bang'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 Heejung Bang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heejung Bang more than expected).
Fields of papers citing papers by Heejung Bang
This network shows the impact of papers produced by Heejung Bang. 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 Heejung Bang. The network helps show where Heejung Bang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heejung Bang, 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 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 31 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 41 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 12 | |
| 14 | 2018 | 11 | |
| 15 | 2016 | 0 | |
| 16 | Short-Term Outcomes of Screening Mammography Using Computer-Aided Detection | 2013 | 1 |
| 17 | 2012 | 9 | |
| 18 | 2010 | 29 | |
| 19 | 2009 | 16 | |
| 20 | 2008 | 43 |
About Heejung Bang
Heejung Bang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Health Informatics, having authored 213 papers that have together received 10.9k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Reproductive Biology and Fertility (14 papers), Meta-analysis and systematic reviews (14 papers), Statistical Methods in Clinical Trials (13 papers), Healthcare Policy and Management (13 papers), Lipoproteins and Cardiovascular Health (13 papers) and Ovarian function and disorders (12 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Reproductive Medicine (858 citations) and Endocrinology, Diabetes and Metabolism (1.1k citations). Heejung Bang has collaborated with scholars based in United States, South Korea and Brazil. Frequent co-authors include James M. Robins, Kutluk Oktay, Aylin Pelin Çil, Christie M. Ballantyne, C.E. Davis, Aaron R. Folsom, Ron C. Hoogeveen, Liyun Ni, Saidi Kapiga and Lloyd E. Chambless. Their work appears in journals such as New England Journal of Medicine, JAMA and Circulation.
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.