Dan Pugh
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Internal Medicine top 10%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Vasculitis and related conditions 7
- Renal and Vascular Pathologies 2
-
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Neeraj Dhaun (16 shared papers)Peter J. Gallacher (6 shared papers)Gillian Mead (1 shared paper)Neil Basu (3 shared papers)Peter C. Grayson (3 shared papers)Carl S. Goodyear (1 shared paper)María C. Cid (1 shared paper)Cornelia M. Weyand (1 shared paper)
- Journals
- Translational Vision Science & Technology (2 papers)Cochrane Database of Systematic Reviews (2 papers)Kidney International Reports (2 papers)Nature Communications (2 papers)Heart (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Dan Pugh
22 papers receiving 806 citations
Dan Pugh's Hit Papers
Peers
Comparison fields: 5 of 82
- Nephrology 98
- Internal Medicine 45
- Cardiology and Cardiovascular Medicine 250
- Rheumatology 136
- Pulmonary and Respiratory Medicine 231
Countries citing papers authored by Dan Pugh
This map shows the geographic impact of Dan Pugh'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 Dan Pugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Pugh more than expected).
Fields of papers citing papers by Dan Pugh
This network shows the impact of papers produced by Dan Pugh. 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 Dan Pugh. The network helps show where Dan Pugh may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Pugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Management of Hypertension in Chronic Kidney Disease Hit paper breakdown → | 2019 | 255 |
| 2 | 2011 | 190 | |
| 3 | Large-vessel vasculitis Hit paper breakdown → | 2022 | 141 |
| 4 | The roentgenologic aspects of chordoma. | 1955 | 81 |
| 5 | 2021 | 19 | |
| 6 | 2022 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2024 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2023 | 6 | |
| 17 | 2020 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 2 |
About Dan Pugh
Dan Pugh is a scholar working on Pulmonary and Respiratory Medicine, Nephrology, Rheumatology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 23 papers that have together received 840 indexed citations. Recurring topics across this work include Vasculitis and related conditions (7 papers), Retinal Imaging and Analysis (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Systemic Lupus Erythematosus Research (3 papers), Renal and Vascular Pathologies (2 papers), Complement system in diseases (2 papers), COVID-19 Clinical Research Studies (2 papers) and Sarcoidosis and Beryllium Toxicity Research (2 papers). The work is most often cited by research in Nephrology (98 citations), Internal Medicine (45 citations), Cardiology and Cardiovascular Medicine (250 citations), Rheumatology (136 citations) and Pulmonary and Respiratory Medicine (231 citations). Dan Pugh has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Neeraj Dhaun, Peter J. Gallacher, Gillian Mead, Neil Basu, Peter C. Grayson, Carl S. Goodyear, María C. Cid, Cornelia M. Weyand, Taryn Youngstein and Catherine Owen. Their work appears in journals such as Translational Vision Science & Technology, Cochrane Database of Systematic Reviews, Kidney International Reports, Nature Communications and Heart.
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.