P.J. Barter
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Surgery top 5%
- Lipoproteins and Cardiovascular Health
- Cholesterol and Lipid Metabolism
- Coronary Interventions and Diagnostics
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Hormonal Regulation and Hypertension 1
- Surgery 6
- Lipoproteins and Cardiovascular Health 6
- Co-authors
- K.-A. Rye (1 shared paper)Christie Mitchell Ballantyne (6 shared papers)Stephen James Nicholls (7 shared papers)Mark J. Caulfield (1 shared paper)Marie Eriksson (1 shared paper)Joel S. Raichlen (5 shared papers)Steven Nissen (5 shared papers)Yu Kataoka (5 shared papers)
- Journals
- Atherosclerosis (2 papers)Journal of Vascular Surgery (2 papers)Journal of the American College of Cardiology (2 papers)Diabetes Care (1 paper)Journal of Internal Medicine (1 paper)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
P.J. Barter
12 papers receiving 967 citations
Peers
Comparison fields: 5 of 66
- Endocrinology, Diabetes and Metabolism 302
- Surgery 631
- Cancer Research 138
- Cardiology and Cardiovascular Medicine 150
- Immunology 87
Countries citing papers authored by P.J. Barter
This map shows the geographic impact of P.J. Barter'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 P.J. Barter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.J. Barter more than expected).
Fields of papers citing papers by P.J. Barter
This network shows the impact of papers produced by P.J. Barter. 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 P.J. Barter. The network helps show where P.J. Barter may publish in the future.
Co-authors
The 25 scholars most cited alongside P.J. Barter, 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 | 2011 | 183 | |
| 2 | 2009 | 175 | |
| 3 | 2009 | 152 | |
| 4 | 2013 | 110 | |
| 5 | 2006 | 76 | |
| 6 | 2013 | 70 | |
| 7 | 2008 | 68 | |
| 8 | 1997 | 64 | |
| 9 | 2014 | 49 | |
| 10 | 2014 | 48 | |
| 11 | 2017 | 6 | |
| 12 | 2014 | 3 | |
| 13 | 2012 | 0 |
About P.J. Barter
P.J. Barter is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Economics and Econometrics and Computational Theory and Mathematics, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cancer, Lipids, and Metabolism (2 papers), Computational Drug Discovery Methods (1 paper), Metal complexes synthesis and properties (1 paper), Acute Myocardial Infarction Research (1 paper), Pharmaceutical Economics and Policy (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (302 citations), Surgery (631 citations), Cancer Research (138 citations), Cardiology and Cardiovascular Medicine (150 citations) and Immunology (87 citations). P.J. Barter has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include K.-A. Rye, Christie Mitchell Ballantyne, Stephen James Nicholls, Mark J. Caulfield, Marie Eriksson, Joel S. Raichlen, Steven Nissen, Yu Kataoka, Rishi Kumar Puri and Raimund Erbel. Their work appears in journals such as Atherosclerosis, Journal of Vascular Surgery, Journal of the American College of Cardiology, Diabetes Care and Journal of Internal 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.