Kevin S. Eardley

808 total citations
8 papers, 665 citations indexed

About

Kevin S. Eardley is a scholar working on Nephrology, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kevin S. Eardley has authored 8 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nephrology, 3 papers in Surgery and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kevin S. Eardley's work include Chronic Kidney Disease and Diabetes (3 papers), Acute Kidney Injury Research (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). Kevin S. Eardley is often cited by papers focused on Chronic Kidney Disease and Diabetes (3 papers), Acute Kidney Injury Research (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). Kevin S. Eardley collaborates with scholars based in United Kingdom, Germany and United States. Kevin S. Eardley's co-authors include Paul Cockwell, Julia Lepenies, Marcus Quinkler, Daniel Zehnder, Martin Hewison, Paul M. Stewart, Alexander J. Howie, Susan V. Hughes, Caroline O. S. Savage and A. J. Howie and has published in prestigious journals such as Circulation, Kidney International and Transplantation.

In The Last Decade

Kevin S. Eardley

8 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin S. Eardley United Kingdom	7	259	176	123	121	107	8	665
Kazuhiko Funabïki Japan	20	511 2.0×	236 1.3×	123 1.0×	104 0.9×	74 0.7×	60	1.1k
Maria Rita Metelli Italy	18	235 0.9×	175 1.0×	172 1.4×	66 0.5×	88 0.8×	37	936
Irene de Lourdes Noronha Brazil	11	305 1.2×	129 0.7×	150 1.2×	46 0.4×	88 0.8×	26	704
Kentaro Omori Japan	13	428 1.7×	126 0.7×	106 0.9×	100 0.8×	68 0.6×	23	678
Hirotaka Imamaki Japan	10	362 1.4×	207 1.2×	90 0.7×	50 0.4×	87 0.8×	19	702
Jens Gerth Germany	13	322 1.2×	102 0.6×	51 0.4×	112 0.9×	104 1.0×	33	657
Akira Hishida Japan	14	369 1.4×	269 1.5×	82 0.7×	54 0.4×	88 0.8×	23	756
Yuan‐Han Qin China	21	275 1.1×	372 2.1×	71 0.6×	65 0.5×	116 1.1×	54	943
Paola Cirina Italy	16	384 1.5×	128 0.7×	90 0.7×	71 0.6×	67 0.6×	25	644
Tatsuyuki Inoue Japan	12	315 1.2×	189 1.1×	147 1.2×	35 0.3×	89 0.8×	19	593

Countries citing papers authored by Kevin S. Eardley

Since Specialization

Citations

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

Fields of papers citing papers by Kevin S. Eardley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin S. Eardley. 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 Kevin S. Eardley. The network helps show where Kevin S. Eardley may publish in the future.

Co-authorship network of co-authors of Kevin S. Eardley

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

All Works

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8 of 8 papers shown

Smith, Stuart W., Kevin S. Eardley, Adam P. Croft, et al.. (2011). CD248+ stromal cells are associated with progressive chronic kidney disease. Kidney International. 80(2). 199–207. 42 indexed citations

Lepenies, Julia, Kevin S. Eardley, Tina Kienitz, et al.. (2011). Renal TLR4 mRNA Expression Correlates with Inflammatory Marker MCP-1 and Profibrotic Molecule TGF-β<sub>1</sub> in Patients with Chronic Kidney Disease. Nephron Clinical Practice. 119(2). c97–c104. 55 indexed citations

Moore, Jason H., Paul Cockwell, Kevin S. Eardley, et al.. (2009). Identification of the Optimal Donor Quality Scoring System and Measure of Early Renal Function in Kidney Transplantation. Transplantation. 87(4). 578–586. 33 indexed citations

Eardley, Kevin S., Chandrashekhar A. Kubal, Daniel Zehnder, et al.. (2008). The role of capillary density, macrophage infiltration and interstitial scarring in the pathogenesis of human chronic kidney disease. Kidney International. 74(4). 495–504. 135 indexed citations

Zehnder, Daniel, Marcus Quinkler, Kevin S. Eardley, et al.. (2008). Reduction of the vitamin D hormonal system in kidney disease is associated with increased renal inflammation. Kidney International. 74(10). 1343–1353. 110 indexed citations

Eardley, Kevin S. & Paul Cockwell. (2005). Macrophages and progressive tubulointerstitial disease. Kidney International. 68(2). 437–455. 185 indexed citations

Quinkler, Marcus, Daniel Zehnder, Kevin S. Eardley, et al.. (2005). Increased Expression of Mineralocorticoid Effector Mechanisms in Kidney Biopsies of Patients With Heavy Proteinuria. Circulation. 112(10). 1435–1443. 103 indexed citations

Eardley, Kevin S., et al.. (2002). Transplant‐associated inflammatory breast disease. Nephrology Dialysis Transplantation. 17(3). 512–515. 2 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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