M. Gary Nicholls
- Cardiology and Cardiovascular Medicine top 0.2%
- Pulmonary and Respiratory Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Surgery top 2%
- Co-authors
- Eric A. EspinerMark RichardsTimothy G. YandleHamid IkramIan CrozierJohn G. LainchburyPenny J. HuntChristopher Frampton
- Topics
- Heart Failure Treatment and Management (63 papers)Hormonal Regulation and Hypertension (44 papers)Neuropeptides and Animal Physiology (29 papers)
- Cited by
- Cardiology and Cardiovascular MedicineBehavioral NeuroscienceEndocrinology, Diabetes and Metabolism
- Partner nations
- New ZealandUnited StatesUnited Arab Emirates
In The Last Decade
M. Gary Nicholls
199 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Cardiology and Cardiovascular Medicine 5.3k
- Pulmonary and Respiratory Medicine 1.4k
- Endocrinology, Diabetes and Metabolism 1.3k
- Molecular Biology 1.3k
- Surgery 1.1k
Countries citing papers authored by M. Gary Nicholls
This map shows the geographic impact of M. Gary Nicholls'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 M. Gary Nicholls with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gary Nicholls more than expected).
Fields of papers citing papers by M. Gary Nicholls
This network shows the impact of papers produced by M. Gary Nicholls. 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 M. Gary Nicholls. The network helps show where M. Gary Nicholls may publish in the future.
Co-authorship network of co-authors of M. Gary Nicholls
This figure shows the co-authorship network connecting the top 25 collaborators of M. Gary Nicholls. A scholar is included among the top collaborators of M. Gary Nicholls based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Gary Nicholls. M. Gary Nicholls is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Automated Blood Count: Its History, Utility and Need for Change | 1 |
| 2 | 7 | |
| 3 | 67 | |
| 4 | 193 | |
| 5 | 41 | |
| 6 | 14 | |
| 7 | 58 | |
| 8 | 8 | |
| 9 | 19 | |
| 10 | 77 | |
| 11 | 32 | |
| 12 | 23 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 70 | |
| 16 | Blockade of the renin-angiotensin system. | 21 |
| 17 | 2 | |
| 18 | 94 | |
| 19 | 4 | |
| 20 | 19 |
About M. Gary Nicholls
M. Gary Nicholls is a scholar working on Behavioral Neuroscience, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 201 papers that have together received 8.4k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (63 papers), Hormonal Regulation and Hypertension (44 papers) and Neuropeptides and Animal Physiology (29 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.3k citations), Behavioral Neuroscience (474 citations) and Endocrinology, Diabetes and Metabolism (1.3k citations). M. Gary Nicholls has collaborated with scholars based in New Zealand, United States and United Arab Emirates. Frequent co-authors include Eric A. Espiner, Mark Richards, Timothy G. Yandle, Hamid Ikram, Ian Crozier, John G. Lainchbury, Penny J. Hunt, Christopher Frampton, Chris Frampton and Robert N. Doughty. Their work appears in journals such as The Lancet, Circulation and Annals 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.