H.J.C. Swan
- Cardiology and Cardiovascular Medicine top 0.2%
- Surgery top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 1%
- Epidemiology top 2%
- Co-authors
- James S. ForresterEarl H. WoodKanu ChatterjeeDaniel S. BermanWilliam W. ParmleyGeorge DiamondShahbudin H. RahimtoolaWilliam Ganz
- Topics
- Hemodynamic Monitoring and Therapy (48 papers)Congenital Heart Disease Studies (41 papers)Cardiac Imaging and Diagnostics (38 papers)
- Cited by
- Cardiology and Cardiovascular MedicineRadiology, Nuclear Medicine and ImagingCritical Care and Intensive Care Medicine
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
H.J.C. Swan
173 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Cardiology and Cardiovascular Medicine 4.5k
- Surgery 2.8k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Pulmonary and Respiratory Medicine 1.6k
- Epidemiology 1.2k
Countries citing papers authored by H.J.C. Swan
This map shows the geographic impact of H.J.C. Swan'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 H.J.C. Swan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.J.C. Swan more than expected).
Fields of papers citing papers by H.J.C. Swan
This network shows the impact of papers produced by H.J.C. Swan. 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 H.J.C. Swan. The network helps show where H.J.C. Swan may publish in the future.
Co-authorship network of co-authors of H.J.C. Swan
This figure shows the co-authorship network connecting the top 25 collaborators of H.J.C. Swan. A scholar is included among the top collaborators of H.J.C. Swan 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 H.J.C. Swan. H.J.C. Swan 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 | 71 | |
| 4 | 71 | |
| 5 | 20 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 82 | |
| 10 | 249 | |
| 11 | 122 | |
| 12 | 28 | |
| 13 | 13 | |
| 14 | 1 | |
| 15 | 24 | |
| 16 | 28 | |
| 17 | 56 | |
| 18 | 113 | |
| 19 | 28 | |
| 20 | 40 |
About H.J.C. Swan
H.J.C. Swan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 180 papers that have together received 7.4k indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (48 papers), Congenital Heart Disease Studies (41 papers) and Cardiac Imaging and Diagnostics (38 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.5k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Critical Care and Intensive Care Medicine (341 citations). H.J.C. Swan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include James S. Forrester, Earl H. Wood, Kanu Chatterjee, Daniel S. Berman, William W. Parmley, George Diamond, Shahbudin H. Rahimtoola, William Ganz, John W. Kirklin and Howard B. Burchell. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.