J. R. Neely
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Pathology and Forensic Medicine top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Physiology top 2%
- Co-authors
- H. E. MorganM TaniMichael J. RovettoLee W. GrotyohannJohn F. OramD. FeuvrayJanet D. RobishawJ T Whitmer
- Topics
- Cardiac Ischemia and Reperfusion (17 papers)Metabolism and Genetic Disorders (16 papers)Mitochondrial Function and Pathology (14 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
J. R. Neely
48 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.6k
- Cardiology and Cardiovascular Medicine 2.5k
- Pathology and Forensic Medicine 2.0k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Physiology 1.1k
Countries citing papers authored by J. R. Neely
This map shows the geographic impact of J. R. Neely'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 J. R. Neely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. R. Neely more than expected).
Fields of papers citing papers by J. R. Neely
This network shows the impact of papers produced by J. R. Neely. 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 J. R. Neely. The network helps show where J. R. Neely may publish in the future.
Co-authorship network of co-authors of J. R. Neely
This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Neely. A scholar is included among the top collaborators of J. R. Neely 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 J. R. Neely. J. R. Neely is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 13 | |
| 5 | Role of intracellular Na+ in Ca2+ overload and depressed recovery of ventricular function of reperfused ischemic rat hearts. Possible involvement of H+-Na+ and Na+-Ca2+ exchange.breakdown → | 634 |
| 6 | 115 | |
| 7 | 8 | |
| 8 | 38 | |
| 9 | 99 | |
| 10 | 25 | |
| 11 | 31 | |
| 12 | 16 | |
| 13 | 41 | |
| 14 | 39 | |
| 15 | 40 | |
| 16 | 141 | |
| 17 | 139 | |
| 18 | 163 | |
| 19 | Relationship Between Carbohydrate and Lipid Metabolism and the Energy Balance of Heart Musclebreakdown → | 995 |
| 20 | Myocardial utilization of carbohydrate and lipidsbreakdown → | 402 |
About J. R. Neely
J. R. Neely is a scholar working on Clinical Biochemistry, Neurology and Pathology and Forensic Medicine, having authored 49 papers that have together received 6.0k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (17 papers), Metabolism and Genetic Disorders (16 papers) and Mitochondrial Function and Pathology (14 papers). The work is most often cited by research in Clinical Biochemistry (988 citations), Pathology and Forensic Medicine (2.0k citations) and Cardiology and Cardiovascular Medicine (2.5k citations). J. R. Neely has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include H. E. Morgan, M Tani, Michael J. Rovetto, Lee W. Grotyohann, John F. Oram, D. Feuvray, Janet D. Robishaw, J T Whitmer, S. H. Nellis and A. J. Liedtke. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Circulation Research.
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.