Ian R. Barrows

542 total citations
9 papers, 404 citations indexed

About

Ian R. Barrows is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Nephrology. According to data from OpenAlex, Ian R. Barrows has authored 9 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Molecular Biology and 2 papers in Nephrology. Recurrent topics in Ian R. Barrows's work include Sodium Intake and Health (2 papers), Gut microbiota and health (2 papers) and Dialysis and Renal Disease Management (2 papers). Ian R. Barrows is often cited by papers focused on Sodium Intake and Health (2 papers), Gut microbiota and health (2 papers) and Dialysis and Renal Disease Management (2 papers). Ian R. Barrows collaborates with scholars based in United States, Belgium and China. Ian R. Barrows's co-authors include Dominic S. Raj, Ali Ramezani, Manuel T. Velasquez, R.S. Dwivedi, Richard Amdur, Harold I. Feldman, John W. Kusek, Martin Keane, Muredach P. Reilly and Myrna G. Serrano and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Ian R. Barrows

9 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ian R. Barrows United States	7	133	119	102	88	48	9	404
Alexa N. Sasson Canada	8	96 0.7×	90 0.8×	66 0.6×	81 0.9×	98 2.0×	18	493
Kumiko Hamano Japan	10	170 1.3×	88 0.7×	65 0.6×	64 0.7×	36 0.8×	20	456
Elvira Castro-Quintela Spain	6	71 0.5×	92 0.8×	81 0.8×	65 0.7×	89 1.9×	11	414
José Luis Pérez Castrillón Spain	14	72 0.5×	59 0.5×	151 1.5×	33 0.4×	123 2.6×	42	457
Yeela Talmor‐Barkan Israel	10	134 1.0×	117 1.0×	82 0.8×	13 0.1×	63 1.3×	27	401
Fangfang Xiang China	10	106 0.8×	33 0.3×	76 0.7×	185 2.1×	58 1.2×	32	458
Emmanouil Korakas Greece	12	72 0.5×	98 0.8×	73 0.7×	13 0.1×	84 1.8×	47	562
Ayumi Yoshifuji Japan	12	235 1.8×	22 0.2×	147 1.4×	160 1.8×	55 1.1×	32	559
Mark Hepokoski United States	12	117 0.9×	32 0.3×	121 1.2×	110 1.3×	66 1.4×	21	495

Countries citing papers authored by Ian R. Barrows

Since Specialization

Citations

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

Fields of papers citing papers by Ian R. Barrows

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian R. Barrows

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

All Works

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9 of 9 papers shown

Barrows, Ian R., Matt Devalaraja, Rahul Kakkar, et al.. (2022). Race, Interleukin‐6, TMPRSS6 Genotype, and Cardiovascular Disease in Patients With Chronic Kidney Disease. Journal of the American Heart Association. 11(18). e025627–e025627. 6 indexed citations

Barrows, Ian R., Andrew J. Bradley, Brian G. Choi, et al.. (2022). Artificial Intelligence Advancements in the Cardiovascular Imaging of Coronary Atherosclerosis. Frontiers in Cardiovascular Medicine. 9. 839400–839400. 11 indexed citations

Gao, Bei, Elliot S. Friedman, Renu Regunathan-Shenk, et al.. (2020). Gut Microbiota and Host Cometabolism Are Altered by Patiromer-Induced Changes in Serum and Stool Potassium. Kidney International Reports. 6(3). 821–829. 2 indexed citations

Barrows, Ian R., Ali Ramezani, & Dominic S. Raj. (2019). Inflammation, Immunity, and Oxidative Stress in Hypertension—Partners in Crime?. Advances in Chronic Kidney Disease. 26(2). 122–130. 81 indexed citations

Ramezani, Ali, Thomas D. Nolin, Ian R. Barrows, et al.. (2018). Gut Colonization with Methanogenic Archaea Lowers Plasma Trimethylamine N-oxide Concentrations in Apolipoprotein e−/− Mice. Scientific Reports. 8(1). 14752–14752. 61 indexed citations

Velasquez, Manuel T., et al.. (2018). Gut Microbiota and Cardiovascular Uremic Toxicities. Toxins. 10(7). 287–287. 65 indexed citations

Amdur, Richard, Monica Mukherjee, Alan S. Go, et al.. (2016). Interleukin-6 Is a Risk Factor for Atrial Fibrillation in Chronic Kidney Disease: Findings from the CRIC Study. PLoS ONE. 11(2). e0148189–e0148189. 64 indexed citations

Poesen, Ruben, Ali Ramezani, Kathleen Claes, et al.. (2015). Associations of Soluble CD14 and Endotoxin with Mortality, Cardiovascular Disease, and Progression of Kidney Disease among Patients with CKD. Clinical Journal of the American Society of Nephrology. 10(9). 1525–1533. 57 indexed citations

Gupta, Jayanta, Elizabeth A. Dominic, Jeffrey C. Fink, et al.. (2015). Association between Inflammation and Cardiac Geometry in Chronic Kidney Disease: Findings from the CRIC Study. PLoS ONE. 10(4). e0124772–e0124772. 57 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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