Andrew D. Sumner
- Surgery
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Endocrinology, Diabetes and Metabolism
- Physiology
- Co-authors
- Neeraj ShahRahul ChaudharyJalaj GargJames ReedGabriel SardiRichard J. SimonsThomas C. VaryVíctor Ruiz-Velasco
- Topics
- Cardiovascular Function and Risk Factors (4 papers)Heart Rate Variability and Autonomic Control (3 papers)Lipoproteins and Cardiovascular Health (2 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Andrew D. Sumner
19 papers receiving 479 citations
Peers
Comparison fields: 5 of 86
- Surgery 216
- Molecular Biology 130
- Cardiology and Cardiovascular Medicine 97
- Endocrinology, Diabetes and Metabolism 91
- Physiology 60
Countries citing papers authored by Andrew D. Sumner
This map shows the geographic impact of Andrew D. Sumner'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 Andrew D. Sumner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew D. Sumner more than expected).
Fields of papers citing papers by Andrew D. Sumner
This network shows the impact of papers produced by Andrew D. Sumner. 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 Andrew D. Sumner. The network helps show where Andrew D. Sumner may publish in the future.
Co-authorship network of co-authors of Andrew D. Sumner
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew D. Sumner. A scholar is included among the top collaborators of Andrew D. Sumner 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 Andrew D. Sumner. Andrew D. Sumner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 221 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 50 | |
| 5 | 21 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 57 | |
| 11 | 14 | |
| 12 | 21 | |
| 13 | 18 | |
| 14 | Deleterious effects of alcohol intoxication on the heart: arrhythmias to cardiomyopathies. | 1 |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 33 | |
| 18 | 6 | |
| 19 | 7 |
About Andrew D. Sumner
Andrew D. Sumner is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 496 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Heart Rate Variability and Autonomic Control (3 papers) and Lipoproteins and Cardiovascular Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (91 citations), Surgery (216 citations) and Critical Care and Intensive Care Medicine (25 citations). Andrew D. Sumner has collaborated with scholars based in United States and Italy. Frequent co-authors include Neeraj Shah, Rahul Chaudhary, Jalaj Garg, James Reed, Gabriel Sardi, Richard J. Simons, Thomas C. Vary, Víctor Ruiz-Velasco, Henry L. Puhl and Scot R. Kimball. Their work appears in journals such as Journal of Neurophysiology, Journal of Applied Physiology and The American Journal of Cardiology.
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.