David G. Kiely
- Pulmonary and Respiratory Medicine top 0.2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Genetics top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Epidemiology top 5%
- Co-authors
- Robin CondliffeCharlie ElliotJim M. WildAndrew J. SwiftSmitha RajaramDavid CapenerRobert I. CargillBrian J. Lipworth
- Topics
- Pulmonary Hypertension Research and Treatments (195 papers)Cardiovascular Function and Risk Factors (64 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (31 papers)
- Journals
- CirculationThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
David G. Kiely
211 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Pulmonary and Respiratory Medicine 5.6k
- Cardiology and Cardiovascular Medicine 3.8k
- Genetics 843
- Radiology, Nuclear Medicine and Imaging 620
- Epidemiology 613
Countries citing papers authored by David G. Kiely
This map shows the geographic impact of David G. Kiely'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 David G. Kiely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David G. Kiely more than expected).
Fields of papers citing papers by David G. Kiely
This network shows the impact of papers produced by David G. Kiely. 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 David G. Kiely. The network helps show where David G. Kiely may publish in the future.
Co-authorship network of co-authors of David G. Kiely
This figure shows the co-authorship network connecting the top 25 collaborators of David G. Kiely. A scholar is included among the top collaborators of David G. Kiely 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 David G. Kiely. David G. Kiely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 20 | |
| 10 | 10 | |
| 11 | 19 | |
| 12 | 8 | |
| 13 | 45 | |
| 14 | 18 | |
| 15 | 15 | |
| 16 | 118 | |
| 17 | 20 | |
| 18 | 109 | |
| 19 | 10 | |
| 20 | 63 |
About David G. Kiely
David G. Kiely is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 229 papers that have together received 7.0k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (195 papers), Cardiovascular Function and Risk Factors (64 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (31 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (5.6k citations), Cardiology and Cardiovascular Medicine (3.8k citations) and Internal Medicine (434 citations). David G. Kiely has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Robin Condliffe, Charlie Elliot, Jim M. Wild, Andrew J. Swift, Smitha Rajaram, David Capener, Robert I. Cargill, Brian J. Lipworth, Judith Hurdman and Gerry Coghlan. Their work appears in journals such as Circulation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.