James Mackie

695 total citations
29 papers, 506 citations indexed

About

James Mackie is a scholar working on Surgery, Nephrology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, James Mackie has authored 29 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Nephrology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in James Mackie's work include Hemodynamic Monitoring and Therapy (8 papers), Renal function and acid-base balance (7 papers) and Renal Transplantation Outcomes and Treatments (4 papers). James Mackie is often cited by papers focused on Hemodynamic Monitoring and Therapy (8 papers), Renal function and acid-base balance (7 papers) and Renal Transplantation Outcomes and Treatments (4 papers). James Mackie collaborates with scholars based in Australia, United States and United Kingdom. James Mackie's co-authors include Gregory S. H. Chan, Andrey V. Savkin, Nigel H. Lovell, Bruce A. Pussell, J. A. Charlesworth, John J. Kelly, Seán Kennedy, Yvonne Shen, Paul M Middleton and Philip Malouf and has published in prestigious journals such as BMJ, Annals of the Rheumatic Diseases and IEEE Transactions on Biomedical Engineering.

In The Last Decade

James Mackie

28 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Mackie Australia 13 117 113 104 102 70 29 506
Xu H China 12 83 0.7× 94 0.8× 45 0.4× 15 0.1× 69 1.0× 85 516
Heather Watson United States 12 106 0.9× 127 1.1× 82 0.8× 17 0.2× 21 0.3× 38 750
Alessandra Nardi Italy 17 143 1.2× 128 1.1× 95 0.9× 42 0.4× 40 0.6× 50 899
Hua Li China 19 391 3.3× 289 2.6× 39 0.4× 54 0.5× 112 1.6× 95 1.0k
R G Hull United Kingdom 14 121 1.0× 58 0.5× 25 0.2× 101 1.0× 48 0.7× 38 828
John Casey United Kingdom 16 579 4.9× 89 0.8× 90 0.9× 45 0.4× 72 1.0× 51 927
Kentaro Wada Japan 12 86 0.7× 139 1.2× 14 0.1× 33 0.3× 10 0.1× 72 560
Ahmet Karaman Türkiye 13 107 0.9× 225 2.0× 84 0.8× 24 0.2× 71 1.0× 30 596
Konstantinos Oikonomou Greece 13 120 1.0× 163 1.4× 32 0.3× 23 0.2× 42 0.6× 24 501
Shinji Onda Japan 17 404 3.5× 126 1.1× 145 1.4× 32 0.3× 20 0.3× 133 828

Countries citing papers authored by James Mackie

Since Specialization
Citations

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

Fields of papers citing papers by James Mackie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Mackie

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

All Works

20 of 20 papers shown
1.
Mackie, James, et al.. (2018). The concentration of ethanol affects its penetration rate in bovine cardiac and hepatic tissues. Folia Histochemica et Cytobiologica. 56(2). 92–97. 6 indexed citations
2.
Mackie, James, et al.. (2014). Compact FMCW radar for a UAS Sense and Avoid system. 989–990. 6 indexed citations
3.
Mackie, James. (2014). Compact FMCW Radar for GPS-Denied Navigation and Sense and Avoid. ScholarsArchive (Brigham Young University). 2 indexed citations
4.
Javed, Faizan, Andrey V. Savkin, Gregory S. H. Chan, James Mackie, & Nigel H. Lovell. (2011). Recent advances in the monitoring and control of haemodynamic variables during haemodialysis: a review. Physiological Measurement. 33(1). R1–R31. 25 indexed citations
5.
Javed, Faizan, Andrey V. Savkin, Gregory S. H. Chan, James Mackie, & Nigel H. Lovell. (2011). Identification and Control for Automated Regulation of Hemodynamic Variables During Hemodialysis. IEEE Transactions on Biomedical Engineering. 58(6). 1686–1697. 15 indexed citations
6.
Javed, Faizan, Andrey V. Savkin, Gregory S. H. Chan, James Mackie, & Nigel H. Lovell. (2011). A computer control system for the regulation of blood volume, heart rate and blood pressure during kidney dialysis. IFAC Proceedings Volumes. 44(1). 14277–14282. 2 indexed citations
7.
Middleton, Paul M, Philip Malouf, Gregory S. H. Chan, et al.. (2010). Frequency spectrum analysis of finger photoplethysmographic waveform variability during haemodialysis. Physiological Measurement. 31(9). 1203–1216. 30 indexed citations
8.
Savkin, Andrey V., Gregory S. H. Chan, Paul M Middleton, et al.. (2010). Model predictive control of relative blood volume and heart rate during hemodialysis. Medical & Biological Engineering & Computing. 48(4). 389–397. 12 indexed citations
9.
Javed, Faizan, Andrey V. Savkin, Gregory S. H. Chan, James Mackie, & Nigel H. Lovell. (2010). Linear parameter varying system based modeling of hemodynamic response to profiled hemodialysis. PubMed. 39. 4967–4970. 5 indexed citations
10.
Chan, Gregory S. H., et al.. (2010). Respiration-induced changes in ear photoplethysmography relates to relative blood volume during hemodialysis. PubMed. 2010. 859–862. 5 indexed citations
11.
Chan, Gregory S. H., Andrey V. Savkin, Paul M Middleton, et al.. (2009). RBF kernel based support vector regression to estimate the blood volume and heart rate responses during hemodialysis. PubMed. 2009. 4352–4355. 15 indexed citations
12.
Savkin, Andrey V., Gregory S. H. Chan, Paul M Middleton, et al.. (2009). Assessing the blood volume and heart rate responses during haemodialysis in fluid overloaded patients using support vector regression. Physiological Measurement. 30(11). 1251–1266. 13 indexed citations
13.
Chan, Gregory S. H., Paul M Middleton, Philip Malouf, et al.. (2009). Changes in the spectral powers of finger photoplethysmographic waveform variability in hemodialysis patients. PubMed. 2009. 3999–4002. 6 indexed citations
14.
Savkin, Andrey V., Gregory S. H. Chan, Paul M Middleton, et al.. (2009). Modeling and control of the heart rate and blood volume responses to hemodialysis. 625–630.
15.
Kennedy, Seán, Yvonne Shen, J. A. Charlesworth, et al.. (2005). Outcome of overseas commercial kidney transplantation: an Australian perspective. The Medical Journal of Australia. 183(1). 54–54. 15 indexed citations
16.
Parker, Gordon & James Mackie. (2002). Occupational medicine. BMJ. 325(Suppl S3). 209323–209323. 5 indexed citations
17.
18.
Giddings, J. C., M. Greaves, R A Hutton, et al.. (1991). Guidelines on testing for the lupus anticoagulant. Lupus Anticoagulant Working Party on behalf of the BCSH Haemostasis and Thrombosis Task Force.. Journal of Clinical Pathology. 44(11). 885–889. 59 indexed citations
19.
Mackie, James, O. Pankewycz, Marcus Gomes Bastos, V E Kelley, & Terry B. Strom. (1990). DOSE-RELATED MECHANISMS OF IMMUNOSUPPRESSION MEDIATED BY MURINE ANTI-CD3 MONOCLONAL ANTIBODY IN PANCREATIC ISLET CELL TRANSPLANTATION AND DELAYED-TYPE HYPERSENSITIVITY. Transplantation. 49(6). 1150–1154. 9 indexed citations
20.
Pankewycz, O., et al.. (1989). INTERLEUKIN-2-DIPHTHERIA TOXIN FUSION PROTEIN PROLONGS MURINE ISLET CELL ENGRAFTMENT. Transplantation. 47(2). 318–321. 21 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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