R. J. MacIsaac

60 total papers · 642 total citations
31 papers, 458 citations indexed

About

R. J. MacIsaac is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, R. J. MacIsaac has authored 31 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Nephrology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in R. J. MacIsaac's work include Chronic Kidney Disease and Diabetes (6 papers), Dialysis and Renal Disease Management (5 papers) and Diabetes Treatment and Management (4 papers). R. J. MacIsaac is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Dialysis and Renal Disease Management (5 papers) and Diabetes Treatment and Management (4 papers). R. J. MacIsaac collaborates with scholars based in Australia and France. R. J. MacIsaac's co-authors include George Jerums, Elif I. Ekinci, Erosha Premaratne, Sianna Panagiotopoulos, G. Jerums, Merlin C. Thomas, E. Marelyn Wintour, Sheila K. Patel, Elena Velkoska and Bryan Wai and has published in prestigious journals such as Journal of the American Society of Nephrology, Diabetologia and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

R. J. MacIsaac

28 papers receiving 449 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
R. J. MacIsaac	153	153	85	51	50	31	458
Amy S. You	202 1.3×	159 1.0×	37 0.4×	28 0.5×	37 0.7×	42	464
Sayaka Ishigaki	117 0.8×	79 0.5×	146 1.7×	19 0.4×	55 1.1×	43	453
Christine K. Keller	193 1.3×	119 0.8×	149 1.8×	21 0.4×	25 0.5×	26	486
Shinsuke Isobe	148 1.0×	84 0.5×	173 2.0×	19 0.4×	61 1.2×	49	490
Yoshinobu Kamiya	80 0.5×	150 1.0×	147 1.7×	37 0.7×	117 2.3×	32	495
J. A. Whitworth	117 0.8×	143 0.9×	106 1.2×	20 0.4×	14 0.3×	33	500
J J Bending	238 1.6×	248 1.6×	64 0.8×	60 1.2×	14 0.3×	21	535
Akinobu Ochi	136 0.9×	80 0.5×	53 0.6×	54 1.1×	50 1.0×	27	422
Samsul Arefin	139 0.9×	65 0.4×	61 0.7×	74 1.5×	24 0.5×	23	512
Xiaoming Tao	100 0.7×	161 1.1×	74 0.9×	37 0.7×	17 0.3×	22	477

Countries citing papers authored by R. J. MacIsaac

Since Specialization

Citations

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

Fields of papers citing papers by R. J. MacIsaac

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. J. MacIsaac. 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 R. J. MacIsaac. The network helps show where R. J. MacIsaac may publish in the future.

Co-authorship network of co-authors of R. J. MacIsaac

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

All Works

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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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