Daniel Rader
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Cancer Research top 10%
- Cancer, Lipids, and Metabolism
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Diet, Metabolism, and Disease 1
- Diabetes Treatment and Management 1
- Oncology 2
- Peptidase Inhibition and Analysis 1
- Co-authors
- Jarett D. Berry (1 shared paper)Ivan S. Yuhanna (1 shared paper)Colby Ayers (1 shared paper)Philip W. Shaul (1 shared paper)Anand Rohatgi (1 shared paper)Ian J. Neeland (1 shared paper)Amit Khera (1 shared paper)James A. de Lemos (1 shared paper)
- Journals
- Journal of the American College of Cardiology (2 papers)Atherosclerosis Supplements (2 papers)Circulation Cardiovascular Quality and Outcomes (1 paper)Journal of clinical lipidology (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Rader
8 papers receiving 1.1k citations
Daniel Rader's Hit Papers
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 400
- Cancer Research 161
- Surgery 449
- Clinical Biochemistry 54
- Cardiology and Cardiovascular Medicine 158
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-authors
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 | HDL Cholesterol Efflux Capacity and Incident Cardiovascular Events Hit paper breakdown → | 2014 | 1042 |
| 2 | 2015 | 61 | |
| 3 | 2012 | 13 | |
| 4 | 2009 | 3 | |
| 5 | The Role of HDL-C in the Management of Atherosclerosis | 2015 | 2 |
| 6 | 2017 | 2 | |
| 7 | 2017 | 2 | |
| 8 | 2009 | 2 | |
| 9 | 2020 | 1 |
About Daniel Rader
Daniel Rader is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Economics and Econometrics, Surgery and Family Practice, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Diet, Metabolism, and Disease (1 paper), Medication Adherence and Compliance (1 paper), Peptidase Inhibition and Analysis (1 paper), Health and Medical Research Impacts (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (400 citations), Cancer Research (161 citations), Surgery (449 citations), Clinical Biochemistry (54 citations) and Cardiology and Cardiovascular Medicine (158 citations). Daniel Rader has collaborated with scholars based in United States. Frequent co-authors include Jarett D. Berry, Ivan S. Yuhanna, Colby Ayers, Philip W. Shaul, Anand Rohatgi, Ian J. Neeland, Amit Khera, James A. de Lemos, Hasan K. Siddiqi and Dániel Kiss. Their work appears in journals such as Journal of the American College of Cardiology, Atherosclerosis Supplements, Circulation Cardiovascular Quality and Outcomes, Journal of clinical lipidology and New England Journal of Medicine.
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.