David D. Waters
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- Diabetes, Cardiovascular Risks, and Lipoproteins 13
- Surgery top 0.5%
- Lipoproteins and Cardiovascular Health 24
- Coronary Interventions and Diagnostics 5
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- Cardiac, Anesthesia and Surgical Outcomes 3
- Acute Myocardial Infarction Research 3
- Cancer Research top 2%
- Economics and Econometrics top 1%
- Health Systems, Economic Evaluations, Quality of Life 11
- Pharmaceutical Economics and Policy 4
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- Computational Drug Discovery Methods 3
- Co-authors
- John J.P. KasteleinPhilip J. BarterNanette K. WengerJohn C. LaRosaScott M. GrundyJames ShepherdJean‐Charles FruchartAntonio M. Gotto
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
David D. Waters
36 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Endocrinology, Diabetes and Metabolism 1.7k
- Surgery 3.5k
- Cardiology and Cardiovascular Medicine 1.4k
- Cancer Research 662
- Economics and Econometrics 1.1k
Countries citing papers authored by David D. Waters
This map shows the geographic impact of David D. Waters'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 D. Waters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. Waters more than expected).
Fields of papers citing papers by David D. Waters
This network shows the impact of papers produced by David D. Waters. 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 D. Waters. The network helps show where David D. Waters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David D. Waters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 46 | |
| 2 | 2015 | 11 | |
| 3 | 2014 | 41 | |
| 4 | 2012 | 133 | |
| 5 | 2011 | 246 | |
| 6 | 2010 | 4 | |
| 7 | 2009 | 4 | |
| 8 | 2009 | 130 | |
| 9 | 2008 | 53 | |
| 10 | Intensive Lipid Lowering with Atorvastatin in Patients with Stable Coronary Diseasebreakdown → | 2005 | 2485 |
| 11 | 2000 | 144 | |
| 12 | 1998 | 1 | |
| 13 | 1998 | 81 | |
| 14 | 1997 | 29 | |
| 15 | 1997 | 73 | |
| 16 | 1997 | 4 | |
| 17 | 1994 | 49 | |
| 18 | 1994 | 47 | |
| 19 | 1993 | 15 | |
| 20 | Whither the coronary care unit? | 1987 | 2 |
About David D. Waters
David D. Waters is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 37 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (24 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Coronary Interventions and Diagnostics (5 papers), Pharmaceutical Economics and Policy (4 papers), Computational Drug Discovery Methods (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Acute Myocardial Infarction Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Surgery (3.5k citations) and Cardiology and Cardiovascular Medicine (1.4k citations). David D. Waters has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include John J.P. Kastelein, Philip J. Barter, Nanette K. Wenger, John C. LaRosa, Scott M. Grundy, James Shepherd, Jean‐Charles Fruchart, Antonio M. Gotto, Charles L. Shear and Heiner Greten. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.