John Chalmers
Impact in
- Endocrine and Autonomic Systems top 0.1%
- Neuroscience of respiration and sleep
- Cardiology and Cardiovascular Medicine top 0.05%
- Blood Pressure and Hypertension Studies
- Heart Rate Variability and Autonomic Control
Papers in
-
- Blood Pressure and Hypertension Studies 141
- Heart Rate Variability and Autonomic Control 55
-
- Neuropeptides and Animal Physiology 57
- Co-authors
- Mark Woodward (198 shared papers)Bruce Neal (100 shared papers)Stephen MacMahon (76 shared papers)Anushka Patel (73 shared papers)Sophia Zoungas (73 shared papers)Hisatomi Arima (96 shared papers)Anthony Rodgers (39 shared papers)Paul M. Pilowsky (69 shared papers)
- Journals
- Journal of Hypertension (72 papers)Clinical and Experimental Pharmacology and Physiology (34 papers)Stroke (32 papers)Diabetes Care (24 papers)Hypertension (22 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
John Chalmers
757 papers receiving 34.4k citations
John Chalmers's Hit Papers
Peers
Comparison fields: 5 of 207
- Endocrine and Autonomic Systems 2.9k
- Cardiology and Cardiovascular Medicine 9.2k
- Endocrinology, Diabetes and Metabolism 6.5k
- Nephrology 2.3k
- Neurology 2.9k
Countries citing papers authored by John Chalmers
This map shows the geographic impact of John Chalmers'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 John Chalmers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chalmers more than expected).
Fields of papers citing papers by John Chalmers
This network shows the impact of papers produced by John Chalmers. 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 John Chalmers. The network helps show where John Chalmers may publish in the future.
Co-authors
The 25 scholars most cited alongside John Chalmers, 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 785 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Blood pressure lowering for prevention of cardiovascular disease and death: a systematic review and meta-analysis Hit paper breakdown → | 2015 | 2326 |
| 2 | Severe Hypoglycemia and Risks of Vascular Events and Death Hit paper breakdown → | 2010 | 1132 |
| 3 | Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis Hit paper breakdown → | 2012 | 993 |
| 4 | Intensive glucose control and macrovascular outcomes in type 2 diabetes Hit paper breakdown → | 2009 | 835 |
| 5 | Albuminuria and Kidney Function Independently Predict Cardiovascular and Renal Outcomes in Diabetes Hit paper breakdown → | 2009 | 699 |
| 6 | Effects of fibrates on cardiovascular outcomes: a systematic review and meta-analysis Hit paper breakdown → | 2010 | 660 |
| 7 | Effects of intensive blood pressure lowering on cardiovascular and renal outcomes: updated systematic review and meta-analysis Hit paper breakdown → | 2015 | 631 |
| 8 | Effects of Intensive Blood Pressure Lowering on Cardiovascular and Renal Outcomes: A Systematic Review and Meta-Analysis Hit paper breakdown → | 2012 | 563 |
| 9 | Intensive blood pressure reduction in acute cerebral haemorrhage trial (INTERACT): a randomised pilot trial Hit paper breakdown → | 2008 | 513 |
| 10 | Prevalence, Awareness, Treatment, and Control of Hypertension in China Hit paper breakdown → | 2008 | 451 |
| 11 | Impact of age, age at diagnosis and duration of diabetes on the risk of macrovascular and microvascular complications and death in type 2 diabetes Hit paper breakdown → | 2014 | 375 |
| 12 | Effects of intensive glucose control on microvascular outcomes in patients with type 2 diabetes: a meta-analysis of individual participant data from randomised controlled trials Hit paper breakdown → | 2017 | 375 |
| 13 | 2005 | 342 | |
| 14 | 1973 | 316 | |
| 15 | 2014 | 287 | |
| 16 | 1975 | 281 | |
| 17 | 1973 | 277 | |
| 18 | 1975 | 274 | |
| 19 | 2011 | 269 | |
| 20 | 2012 | 262 |
About John Chalmers
John Chalmers is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Physiology, having authored 785 papers that have together received 35.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (141 papers), Neuroscience of respiration and sleep (76 papers), Neuropeptides and Animal Physiology (57 papers), Heart Rate Variability and Autonomic Control (55 papers), Intracerebral and Subarachnoid Hemorrhage Research (48 papers), Acute Ischemic Stroke Management (41 papers), Hormonal Regulation and Hypertension (37 papers) and Receptor Mechanisms and Signaling (31 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.9k citations), Cardiology and Cardiovascular Medicine (9.2k citations), Endocrinology, Diabetes and Metabolism (6.5k citations), Nephrology (2.3k citations) and Neurology (2.9k citations). John Chalmers has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Mark Woodward, Bruce Neal, Stephen MacMahon, Anushka Patel, Sophia Zoungas, Hisatomi Arima, Anthony Rodgers, Paul M. Pilowsky, Toshiharu Ninomiya and Vlado Perkovic. Their work appears in journals such as Journal of Hypertension, Clinical and Experimental Pharmacology and Physiology, Stroke, Diabetes Care and Hypertension.
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.