Ryan Chung

1.9k total citations
11 papers, 89 citations indexed

About

Ryan Chung is a scholar working on Genetics, Management of Technology and Innovation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ryan Chung has authored 11 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Management of Technology and Innovation and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ryan Chung's work include Hemoglobinopathies and Related Disorders (4 papers), Blood donation and transfusion practices (4 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Ryan Chung is often cited by papers focused on Hemoglobinopathies and Related Disorders (4 papers), Blood donation and transfusion practices (4 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Ryan Chung collaborates with scholars based in United Kingdom, United States and Australia. Ryan Chung's co-authors include Charles desBordes, Michael A. Lea, Andres Ortega, Angela Wood, Michael Sweeting, Stephen Kaptoge, David J. Roberts, Emanuele Di Angelantonio, Thomas Bolton and Jane Armitage and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Ryan Chung

11 papers receiving 89 citations

Peers

Ryan Chung

MTI

HEMAT

GENET

Will Angenent United Kingdom

Sandra P. D’Angelo Italy

Claudio Arrigoni Italy

Francesca Pezzetta Italy

Liu-Song Wu China

Lihong Yang China

Timothy Hagan United States

Giovanni Pisapia Italy

Danny Houtsma Netherlands

Maria Nieto Spain

Will Angenent United Kingdom

Ryan Chung

11 ×0.3

14 ×0.6

MTI

5 ×0.2

45 ×2.5

HEMAT

6 ×0.4

GENET

Citations per year, relative to Ryan Chung Ryan Chung (= 1×) peers Will Angenent

Countries citing papers authored by Ryan Chung

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ryan Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Chung. A scholar is included among the top collaborators of Ryan Chung 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 Ryan Chung. Ryan Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Xu, Zhe, Juliet A. Usher‐Smith, Lisa Pennells, et al.. (2024). Age and sex specific thresholds for risk stratification of cardiovascular disease and clinical decision making: prospective open cohort study. SHILAP Revista de lepidopterología. 3(1). e000633–e000633. 1 indexed citations

Chung, Ryan, Zhe Xu, Matthew Arnold, et al.. (2023). Using Polygenic Risk Scores for Prioritizing Individuals at Greatest Need of a Cardiovascular Disease Risk Assessment. Journal of the American Heart Association. 12(15). e029296–e029296. 8 indexed citations

Chung, Ryan, Zhe Xu, Matthew Arnold, et al.. (2023). Prioritising cardiovascular disease risk assessment to high risk individuals based on primary care records. PLoS ONE. 18(9). e0292240–e0292240. 4 indexed citations

Xu, Zhe, Matthew Arnold, Luanluan Sun, et al.. (2022). Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records. International Journal of Epidemiology. 51(6). 1813–1823. 2 indexed citations

Bell, Steven, Michael Sweeting, Anna Ramond, et al.. (2020). Comparison of four methods to measure haemoglobin concentrations in whole blood donors ( COMPARE ): A diagnostic accuracy study. Transfusion Medicine. 31(2). 94–103. 11 indexed citations

Fisher, Sheila, Katya L Masconi, Carolyn Dorée, et al.. (2019). Donor Deferral Due to Low Hemoglobin—An Updated Systematic Review. Transfusion Medicine Reviews. 34(1). 10–22. 18 indexed citations

Chung, Ryan, Angela Wood, & Michael Sweeting. (2018). Biases incurred from nonrandom repeat testing of haemoglobin levels in blood donors: Selective testing and its implications. Biometrical Journal. 61(2). 454–466. 3 indexed citations

Chung, Ryan, Angela Wood, & Michael Sweeting. (2018). Biases incurred from non-random repeat testing of haemoglobin levels in blood donors. Apollo (University of Cambridge). 2 indexed citations

Contractor, Sohail, et al.. (2014). Uterine Arteriovenous Vascular Malformation Masked by Partial Molar Pregnancy: Diagnostic Challenge and Subsequent Embolic Treatment. The Journal of Obstetrics and Gynecology of India. 64(6). 442–446. 1 indexed citations

10.

Lea, Michael A., et al.. (2011). Addition of 2-deoxyglucose enhances growth inhibition but reverses acidification in colon cancer cells treated with phenformin.. PubMed. 31(2). 421–6. 38 indexed citations

11.

Lea, Michael A., et al.. (2011). Abstract 4069: 2-deoxyglucose and compound C reversed acidification but enhanced growth inhibition in colon cancer cells treated with metformin and phenformin. Cancer Research. 71(8_Supplement). 4069–4069. 1 indexed citations

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.

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