Ryan Chung
Impact in
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- Blood donation and transfusion practices
Papers in
- Genetics 4
- Hemoglobinopathies and Related Disorders 4
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- Blood donation and transfusion practices 4
- Co-authors
- Charles desBordes (2 shared papers)Michael A. Lea (2 shared papers)Andres Ortega (2 shared papers)Angela Wood (8 shared papers)Michael Sweeting (4 shared papers)Stephen Kaptoge (4 shared papers)David J. Roberts (2 shared papers)Thomas Bolton (2 shared papers)
- Journals
- Transfusion Medicine Reviews (1 paper)Journal of the American Heart Association (1 paper)Transfusion Medicine (1 paper)Biometrical Journal (1 paper)International Journal of Epidemiology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ryan Chung
11 papers receiving 89 citations
Peers
Comparison fields: 5 of 35
- Management of Technology and Innovation 24
- Health Informatics 3
- Hematology 18
- Genetics 15
- Cancer Research 21
Countries citing papers authored by Ryan Chung
This map shows the geographic impact of Ryan Chung'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 Ryan Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Chung more than expected).
Fields of papers citing papers by Ryan Chung
This network shows the impact of papers produced by Ryan Chung. 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 Ryan Chung. The network helps show where Ryan Chung may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Chung, 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 | Addition of 2-deoxyglucose enhances growth inhibition but reverses acidification in colon cancer cells treated with phenformin. | 2011 | 38 |
| 2 | 2019 | 18 | |
| 3 | 2020 | 11 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 4 | |
| 6 | 2018 | 3 | |
| 7 | 2022 | 2 | |
| 8 | 2018 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2011 | 1 |
About Ryan Chung
Ryan Chung is a scholar working on Genetics, Management of Technology and Innovation, Public Health, Environmental and Occupational Health, Surgery and Economics and Econometrics, having authored 11 papers that have together received 89 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (4 papers), Blood donation and transfusion practices (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Health Promotion and Cardiovascular Prevention (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Iron Metabolism and Disorders (2 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Management of Technology and Innovation (24 citations), Health Informatics (3 citations), Hematology (18 citations), Genetics (15 citations) and Cancer Research (21 citations). Ryan Chung has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Charles desBordes, Michael A. Lea, Andres Ortega, Angela Wood, Michael Sweeting, Stephen Kaptoge, David J. Roberts, Thomas Bolton, Emanuele Di Angelantonio and John Danesh. Their work appears in journals such as Transfusion Medicine Reviews, Journal of the American Heart Association, Transfusion Medicine, Biometrical Journal and International Journal of Epidemiology.
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.