John‐Paul Tung
- Biochemistry top 2%
- Critical Care and Intensive Care Medicine top 2%
- Epidemiology
- Hematology top 10%
- Surgery
- Co-authors
- John F. FraserMonica Suet Ying NgYoke Lin FungMelinda M. DeanMargaret R. PassmoreKiran ShekarSara DiabKimble R. Dunster
- Topics
- Blood transfusion and management (32 papers)Trauma, Hemostasis, Coagulopathy, Resuscitation (18 papers)Blood donation and transfusion practices (12 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
John‐Paul Tung
47 papers receiving 679 citations
Peers
Comparison fields: 5 of 89
- Biochemistry 244
- Critical Care and Intensive Care Medicine 188
- Epidemiology 147
- Hematology 120
- Surgery 119
Countries citing papers authored by John‐Paul Tung
This map shows the geographic impact of John‐Paul Tung'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 John‐Paul Tung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John‐Paul Tung more than expected).
Fields of papers citing papers by John‐Paul Tung
This network shows the impact of papers produced by John‐Paul Tung. 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 John‐Paul Tung. The network helps show where John‐Paul Tung may publish in the future.
Co-authorship network of co-authors of John‐Paul Tung
This figure shows the co-authorship network connecting the top 25 collaborators of John‐Paul Tung. A scholar is included among the top collaborators of John‐Paul Tung 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 John‐Paul Tung. John‐Paul Tung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 36 | |
| 7 | 0 | |
| 8 | 17 | |
| 9 | 5 | |
| 10 | 98 | |
| 11 | 23 | |
| 12 | 101 | |
| 13 | 22 | |
| 14 | 23 | |
| 15 | 12 | |
| 16 | A validated ovine model for blood collection, processing, compatibility testing and transfusion | 1 |
| 17 | Evidence behind the pathophysiology of TRALI | 1 |
| 18 | 21 | |
| 19 | 45 | |
| 20 | 2 |
About John‐Paul Tung
John‐Paul Tung is a scholar working on Biochemistry, Critical Care and Intensive Care Medicine and Management of Technology and Innovation, having authored 54 papers that have together received 685 indexed citations. Recurring topics across this work include Blood transfusion and management (32 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (18 papers) and Blood donation and transfusion practices (12 papers). The work is most often cited by research in Biochemistry (244 citations), Critical Care and Intensive Care Medicine (188 citations) and Hematology (120 citations). John‐Paul Tung has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John F. Fraser, Monica Suet Ying Ng, Yoke Lin Fung, Melinda M. Dean, Margaret R. Passmore, Kiran Shekar, Sara Diab, Kimble R. Dunster, Gabriela Šimonová and Louise E. See Hoe. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.