Jamie Redgrave

449 total citations
9 papers, 374 citations indexed

About

Jamie Redgrave is a scholar working on Nutrition and Dietetics, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jamie Redgrave has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nutrition and Dietetics, 3 papers in Molecular Biology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jamie Redgrave's work include Sodium Intake and Health (4 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Protein Hydrolysis and Bioactive Peptides (1 paper). Jamie Redgrave is often cited by papers focused on Sodium Intake and Health (4 papers), Protein Kinase Regulation and GTPase Signaling (1 paper) and Protein Hydrolysis and Bioactive Peptides (1 paper). Jamie Redgrave collaborates with scholars based in United States. Jamie Redgrave's co-authors include Gordon H. Williams, Norman K. Hollenberg, Steven L. Rabinowe, Dolores Shoback, Thomas J. Moore, Edward M. Brown, Mitzy Canessa, Ray E. Gleason, Stephen Podolsky and N. K. Hollenberg and has published in prestigious journals such as Journal of Clinical Investigation, FEBS Letters and The American Journal of Medicine.

In The Last Decade

Jamie Redgrave

9 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jamie Redgrave United States 7 174 144 128 99 83 9 374
J W DeClue United States 10 216 1.2× 88 0.6× 110 0.9× 71 0.7× 61 0.7× 11 393
G. F. Di Francesco Italy 5 125 0.7× 78 0.5× 122 1.0× 102 1.0× 39 0.5× 10 362
R E McCaa Guatemala 11 210 1.2× 128 0.9× 170 1.3× 103 1.0× 93 1.1× 14 465
E. Cran Australia 7 202 1.2× 49 0.3× 163 1.3× 107 1.1× 42 0.5× 9 410
Robertson Ji United Kingdom 12 173 1.0× 48 0.3× 126 1.0× 51 0.5× 51 0.6× 31 394
M BRANDS United States 6 160 0.9× 66 0.5× 135 1.1× 57 0.6× 24 0.3× 7 334
R. P. Verhoeven Netherlands 7 218 1.3× 34 0.2× 152 1.2× 120 1.2× 36 0.4× 8 388
Bertram J. Channick United States 13 111 0.6× 99 0.7× 308 2.4× 77 0.8× 70 0.8× 26 532
Shinpei Morimoto Japan 13 155 0.9× 57 0.4× 207 1.6× 96 1.0× 28 0.3× 61 456
Walter M. van der Merwe United Kingdom 4 197 1.1× 31 0.2× 133 1.0× 65 0.7× 54 0.7× 4 354

Countries citing papers authored by Jamie Redgrave

Since Specialization
Citations

This map shows the geographic impact of Jamie Redgrave'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 Jamie Redgrave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Redgrave more than expected).

Fields of papers citing papers by Jamie Redgrave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie Redgrave. 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 Jamie Redgrave. The network helps show where Jamie Redgrave may publish in the future.

Co-authorship network of co-authors of Jamie Redgrave

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Redgrave. A scholar is included among the top collaborators of Jamie Redgrave 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 Jamie Redgrave. Jamie Redgrave is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Redgrave, Jamie, et al.. (2015). Effectiveness of Inpatient Insulin Order Sets Using Human Insulins in Noncritically Ill Patients in A Rural Hospital. Endocrine Practice. 21(7). 794–806. 6 indexed citations
2.
Canessa, Mitzy, et al.. (1989). Does Sodium Intake Modify Red Cell Na+ Transporters in Normal and Hypertensive Subjects?. American Journal of Hypertension. 2(7). 515–523. 16 indexed citations
3.
Redgrave, Jamie, Mitzy Canessa, Ray E. Gleason, Norman K. Hollenberg, & Gordon H. Williams. (1989). Red blood cell lithium-sodium countertransport in non-modulating essential hypertension.. Hypertension. 13(6_pt_2). 721–726. 36 indexed citations
4.
Hollenberg, N. K., Thomas J. Moore, Dolores Shoback, et al.. (1987). Abnormal Renal Sodium Handling in Essential Hypertension. Relation to Failure of Renal and Adrenal Modulation of Responses to Angiotensin II. The Journal of Urology. 137(2). 367–367. 6 indexed citations
5.
Rabinowe, Steven L., et al.. (1987). Renin suppression by saline is blunted in nonmodulating essential hypertension.. Hypertension. 10(4). 404–408. 22 indexed citations
6.
Hollenberg, Norman K., Thomas J. Moore, Dolores Shoback, et al.. (1986). Abnormal renal sodium handling in essential hypertension. The American Journal of Medicine. 81(3). 412–418. 117 indexed citations
7.
Redgrave, Jamie, Steven L. Rabinowe, Norman K. Hollenberg, & Gordon H. Williams. (1985). Correction of abnormal renal blood flow response to angiotensin II by converting enzyme inhibition in essential hypertensives.. Journal of Clinical Investigation. 75(4). 1285–1290. 127 indexed citations
8.
Redgrave, Jamie & Stephen L. Swartz. (1985). Diagnosis and management of malignant hypertension.. PubMed. 11(3). 6–10. 1 indexed citations
9.
Brown, Edward M., et al.. (1984). Effect of the phorbol ester TPA on PTH secretion Evidence for a role for protein kinase C in the control of PTH release. FEBS Letters. 175(1). 72–75. 43 indexed citations

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.

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