J Elliott
- Nephrology top 10%
- Parathyroid Disorders and Treatments 7
- Renal function and acid-base balance 3
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- Neuropeptides and Animal Physiology 5
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- Erythrocyte Function and Pathophysiology 2
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- Receptor Mechanisms and Signaling 5
- Pharmacological Receptor Mechanisms and Effects 3
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- Electrochemical Analysis and Applications 3
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- Metabolism and Genetic Disorders 2
- Co-authors
- John R. TraynorR. V. TalmageSmith FreemanRichard G. ComptonAnselm EndersYang LiuAlex Q. HuangSumit Dutta
- Journals
- Endocrinology (8 papers)Clinical Chemistry (5 papers)Experimental Biology and Medicine (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
J Elliott
37 papers receiving 556 citations
Peers
Comparison fields: 5 of 125
- Nephrology 69
- Cellular and Molecular Neuroscience 172
- Physiology 89
- Molecular Biology 228
- Orthopedics and Sports Medicine 25
Countries citing papers authored by J Elliott
This map shows the geographic impact of J Elliott'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 Elliott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Elliott more than expected).
Fields of papers citing papers by J Elliott
This network shows the impact of papers produced by J Elliott. 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 Elliott. The network helps show where J Elliott may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J Elliott, 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 | 2023 | 1 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 3 | |
| 5 | 2020 | 0 | |
| 6 | 2020 | 14 | |
| 7 | The mammary gland spreading factor | 2016 | 0 |
| 8 | 2013 | 21 | |
| 9 | URINARY VASCULAR ENDOTHELIAL GROWTH FACTOR AS A MARKER OF RENAL HYPOXIA IN CATS | 2011 | 1 |
| 10 | 1995 | 11 | |
| 11 | 1994 | 44 | |
| 12 | 1994 | 1 | |
| 13 | 1993 | 159 | |
| 14 | 1991 | 7 | |
| 15 | 1988 | 6 | |
| 16 | 1981 | 5 | |
| 17 | 1972 | 1 | |
| 18 | 1958 | 35 | |
| 19 | 1958 | 7 | |
| 20 | 1957 | 1 |
About J Elliott
J Elliott is a scholar working on Nephrology, Electrochemistry, Bioengineering, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 42 papers that have together received 610 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (7 papers), Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (5 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Renal function and acid-base balance (3 papers), Electrochemical Analysis and Applications (3 papers), Metabolism and Genetic Disorders (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Nephrology (69 citations), Cellular and Molecular Neuroscience (172 citations), Physiology (89 citations), Molecular Biology (228 citations) and Orthopedics and Sports Medicine (25 citations). J Elliott has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John R. Traynor, R. V. Talmage, Smith Freeman, Richard G. Compton, Anselm Enders, Yang Liu, Alex Q. Huang, Sumit Dutta, Gangyao Wang and Richard D. Gould. Their work appears in journals such as Endocrinology, Clinical Chemistry, Experimental Biology and Medicine, Canadian Journal of Physiology and Pharmacology and Journal of Electroanalytical Chemistry.
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.