Daniel Rader
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- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diabetes Treatment and Management 1
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism 2
- Surgery top 5%
- Lipoproteins and Cardiovascular Health 3
- Clinical Biochemistry top 10%
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- Peptidase Inhibition and Analysis 1
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- Health Systems, Economic Evaluations, Quality of Life 1
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- Pharmacological Effects of Natural Compounds 1
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- Chromatography in Natural Products 1
- Co-authors
- Anand RohatgiAmit KheraIan J. NeelandPhilip W. ShaulIvan S. YuhannaColby AyersJames A. de LemosJarett D. Berry
- Journals
- Journal of the American College of Cardiology (2 papers)Atherosclerosis Supplements (2 papers)Journal of clinical lipidology (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Rader
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Endocrinology, Diabetes and Metabolism 589
- Cancer Research 224
- Surgery 658
- Cardiology and Cardiovascular Medicine 274
- Clinical Biochemistry 61
Countries citing papers authored by Daniel Rader
This map shows the geographic impact of Daniel Rader'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 Daniel Rader with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rader more than expected).
Fields of papers citing papers by Daniel Rader
This network shows the impact of papers produced by Daniel Rader. 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 Daniel Rader. The network helps show where Daniel Rader may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Rader, 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 | 2020 | 1 | |
| 2 | 2017 | 2 | |
| 3 | 2017 | 2 | |
| 4 | The Role of HDL-C in the Management of Atherosclerosis | 2015 | 2 |
| 5 | 2015 | 60 | |
| 6 | HDL Cholesterol Efflux Capacity and Incident Cardiovascular Eventsbreakdown → | 2014 | 1025 |
| 7 | 2012 | 13 | |
| 8 | 2009 | 3 | |
| 9 | 2009 | 2 |
About Daniel Rader
Daniel Rader is a scholar working on Family Practice, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Cancer, Lipids, and Metabolism (2 papers), Peptidase Inhibition and Analysis (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Diabetes Treatment and Management (1 paper) and Chromatography in Natural Products (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (589 citations), Cancer Research (224 citations) and Surgery (658 citations). Daniel Rader has collaborated with scholars based in United States. Frequent co-authors include Anand Rohatgi, Amit Khera, Ian J. Neeland, Philip W. Shaul, Ivan S. Yuhanna, Colby Ayers, James A. de Lemos, Jarett D. Berry, Dániel Kiss and Hasan K. Siddiqi. Their work appears in journals such as Journal of the American College of Cardiology, Atherosclerosis Supplements, Journal of clinical lipidology, Current Opinion in Cardiology and Circulation Cardiovascular Quality and Outcomes.
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.