Tim Dong

1.0k total citations
30 papers, 132 citations indexed

About

Tim Dong is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Tim Dong has authored 30 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 10 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Tim Dong's work include Cardiac, Anesthesia and Surgical Outcomes (11 papers), Cardiac Valve Diseases and Treatments (9 papers) and Aortic Disease and Treatment Approaches (5 papers). Tim Dong is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (11 papers), Cardiac Valve Diseases and Treatments (9 papers) and Aortic Disease and Treatment Approaches (5 papers). Tim Dong collaborates with scholars based in United Kingdom, India and Portugal. Tim Dong's co-authors include Gianni D. Angelini, Arnaldo Dimagli, Shubhra Sinha, Daniel Fudulu, Umberto Benedetto, Pradeep Narayan, Massimo Caputo, Andrew Judge, et al and Hunaid A. Vohra and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Psychologist and The Annals of Thoracic Surgery.

In The Last Decade

Tim Dong

22 papers receiving 129 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Dong United Kingdom 8 76 34 27 27 17 30 132
Sazzli Kasim Malaysia 6 106 1.4× 44 1.3× 8 0.3× 27 1.0× 18 1.1× 36 148
Khairul Shafiq Ibrahim Malaysia 7 99 1.3× 20 0.6× 10 0.4× 42 1.6× 24 1.4× 31 159
Péter Perge Hungary 10 188 2.5× 26 0.8× 14 0.5× 10 0.4× 15 0.9× 38 254
Joseph Gabriel United Kingdom 5 61 0.8× 79 2.3× 38 1.4× 14 0.5× 5 0.3× 19 161
Jeong Cheon Choe South Korea 6 65 0.9× 29 0.9× 4 0.1× 15 0.6× 10 0.6× 24 124
Florien S van Royen Netherlands 4 22 0.3× 9 0.3× 19 0.7× 12 0.4× 7 0.4× 8 85
Jesper Johnsson Sweden 5 43 0.6× 9 0.3× 14 0.5× 10 0.4× 35 2.1× 6 125
Angelo Oliva Italy 7 128 1.7× 82 2.4× 6 0.2× 6 0.2× 17 1.0× 40 172
Tatyana Danilov United States 3 152 2.0× 10 0.3× 9 0.3× 10 0.4× 11 0.6× 10 179
Emmanouil Charitakis Sweden 10 234 3.1× 24 0.7× 4 0.1× 4 0.1× 18 1.1× 33 293

Countries citing papers authored by Tim Dong

Since Specialization
Citations

This map shows the geographic impact of Tim Dong'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 Tim Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Dong more than expected).

Fields of papers citing papers by Tim Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Dong. 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 Tim Dong. The network helps show where Tim Dong may publish in the future.

Co-authorship network of co-authors of Tim Dong

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

All Works

20 of 20 papers shown
1.
2.
Hezzell, Melanie, et al.. (2025). Transcriptomics, Proteomics and Bioinformatics in Atrial Fibrillation: A Descriptive Review. Bioengineering. 12(2). 149–149. 1 indexed citations
3.
4.
Narayan, Pradeep, et al.. (2025). Hospital readmission after heart valve surgery in the United Kingdom. JTCVS Open. 24. 239–255.
5.
Hezzell, Melanie, et al.. (2025). Transcriptomics, Proteomics and Bioinformatics in Atrial Fibrillation: A Descriptive Review. Preprints.org. 1 indexed citations
6.
Dong, Tim, Shubhra Sinha, Daniel Fudulu, et al.. (2024). Performance Drift in Machine Learning Models for Cardiac Surgery Risk Prediction: Retrospective Analysis. SHILAP Revista de lepidopterología. 5. e45973–e45973. 11 indexed citations
7.
Fudulu, Daniel, Tim Dong, Shubhra Sinha, et al.. (2024). In-hospital outcomes predictors and trends of redo sternotomy aortic root replacements: insights from a UK registry analysis. Frontiers in Cardiovascular Medicine. 10. 1295968–1295968.
8.
Dong, Tim, Shubhra Sinha, Alberto Freitas, et al.. (2024). Enhancing Cardiovascular Risk Prediction: Development of an Advanced Xgboost Model with Hospital-Level Random Effects. Bioengineering. 11(10). 1039–1039. 1 indexed citations
9.
Sommella, Eduardo, Emanuela Salviati, Tim Dong, et al.. (2024). Plasma metabolomic and lipidomic profiles accurately classify mothers of children with congenital heart disease: an observational study. Metabolomics. 20(4). 70–70. 5 indexed citations
10.
Sinha, Shubhra, Tim Dong, Arnaldo Dimagli, et al.. (2023). Comparison of machine learning techniques in prediction of mortality following cardiac surgery: analysis of over 220 000 patients from a large national database. European Journal of Cardio-Thoracic Surgery. 63(6). 17 indexed citations
11.
Dimagli, Arnaldo, et al.. (2023). Trend and early clinical outcomes of off-pump coronary artery bypass grafting in the UK. European Journal of Cardio-Thoracic Surgery. 64(2). 3 indexed citations
12.
Dong, Tim, Nicholas Sunderland, Angus K. Nightingale, et al.. (2023). Development and Evaluation of a Natural Language Processing System for Curating a Trans-Thoracic Echocardiogram (TTE) Database. Bioengineering. 10(11). 1307–1307. 11 indexed citations
13.
Dong, Tim, Shubhra Sinha, Daniel Fudulu, et al.. (2023). Cardiac surgery risk prediction using ensemble machine learning to incorporate legacy risk scores: A benchmarking study. Digital Health. 9. 589831317–589831317. 12 indexed citations
14.
Dimagli, Arnaldo, M.Saadeh Suleiman, Marco Moscarelli, et al.. (2023). Patterns of cytokine release and association with new onset of post-cardiac surgery atrial fibrillation. Frontiers in Surgery. 10. 4 indexed citations
15.
Narayan, Pradeep, et al.. (2023). Trend in mitral valve prostheses of choice and early outcomes in the United Kingdom. International Journal of Cardiology. 397. 131607–131607. 5 indexed citations
16.
Narayan, Pradeep, Arnaldo Dimagli, Daniel Fudulu, et al.. (2023). Risk Factors and Outcomes of Reoperative Surgical Aortic Valve Replacement in the United Kingdom. The Annals of Thoracic Surgery. 116(4). 759–766. 3 indexed citations
17.
Dimagli, Arnaldo, Daniel Fudulu, Shubhra Sinha, et al.. (2023). Trend and early outcomes in isolated surgical aortic valve replacement in the United Kingdom. Frontiers in Cardiovascular Medicine. 9. 1077279–1077279. 7 indexed citations
18.
19.
Dong, Tim, Umberto Benedetto, Shubhra Sinha, et al.. (2022). Deep recurrent reinforced learning model to compare the efficacy of targeted local versus national measures on the spread of COVID-19 in the UK. BMJ Open. 12(2). e048279–e048279. 6 indexed citations
20.
Fudulu, Daniel, Arnaldo Dimagli, Shubhra Sinha, et al.. (2022). Impact of Preoperative Atrial Fibrillation on In-Hospital Outcomes of Coronary Artery Bypass Grafting. Seminars in Thoracic and Cardiovascular Surgery. 35(2). 261–266.

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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