Ciarán Richardson

2.4k total citations · 1 hit paper
16 papers, 1.9k citations indexed

About

Ciarán Richardson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Nephrology. According to data from OpenAlex, Ciarán Richardson has authored 16 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Nephrology. Recurrent topics in Ciarán Richardson's work include Ion Transport and Channel Regulation (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Hormonal Regulation and Hypertension (3 papers). Ciarán Richardson is often cited by papers focused on Ion Transport and Channel Regulation (5 papers), Chronic Kidney Disease and Diabetes (3 papers) and Hormonal Regulation and Hypertension (3 papers). Ciarán Richardson collaborates with scholars based in United Kingdom, Ireland and United States. Ciarán Richardson's co-authors include Dario R. Alessi, Katrin Martin, Kieran Brennan, Alfonso Blanco, Margaret M. Mc Gee, Jeff O’Sullivan, S. P. Fitzgerald, Yunjie Wu, Fatema H. Rafiqi and David G. Campbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Virology.

In The Last Decade

Ciarán Richardson

15 papers receiving 1.9k citations

Hit Papers

A comparison of methods for the isolation and separation ... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ciarán Richardson United Kingdom 11 1.7k 340 331 275 265 16 1.9k
Teodor G. Păunescu United States 26 1.8k 1.1× 213 0.6× 372 1.1× 135 0.5× 221 0.8× 45 2.3k
Fuminori Umenishi United States 24 1.3k 0.8× 299 0.9× 527 1.6× 95 0.3× 94 0.4× 33 1.9k
Kyu Youn Ahn South Korea 25 948 0.6× 147 0.4× 232 0.7× 45 0.2× 135 0.5× 58 1.7k
Yoshihiro Matsumura Japan 26 1.4k 0.8× 107 0.3× 571 1.7× 72 0.3× 126 0.5× 50 2.1k
Amy Hall United States 19 1.1k 0.6× 60 0.2× 219 0.7× 294 1.1× 63 0.2× 26 1.7k
Motohiro Nomura Japan 20 702 0.4× 201 0.6× 224 0.7× 33 0.1× 155 0.6× 93 1.9k
Kelley S. Brodsky United States 21 721 0.4× 396 1.2× 262 0.8× 28 0.1× 62 0.2× 25 1.7k
Sébastien Blaise France 26 670 0.4× 363 1.1× 152 0.5× 55 0.2× 52 0.2× 61 1.8k
Christopher B. Jackson Finland 23 1.3k 0.8× 123 0.4× 87 0.3× 70 0.3× 25 0.1× 53 1.9k
Reiko Kurotani Japan 23 879 0.5× 151 0.4× 340 1.0× 81 0.3× 208 0.8× 57 1.7k

Countries citing papers authored by Ciarán Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Ciarán Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ciarán Richardson

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

All Works

16 of 16 papers shown
1.
Monaghan, John, Mary Jo Kurth, Ciarán Richardson, et al.. (2025). Comparing Cystatin C Estimated GFR With Creatinine Estimated GFR in Acute Kidney Injury Recovery. Kidney International Reports. 10(8). 2741–2750.
2.
Mnich, Katarzyna, Patrick Browne, Timothy J. Counihan, et al.. (2022). Endoplasmic Reticulum Stress-Regulated Chaperones as a Serum Biomarker Panel for Parkinson’s Disease. Molecular Neurobiology. 60(3). 1476–1485. 7 indexed citations
3.
Wilson, Michelle, et al.. (2021). Biomarkers During Recovery From AKI and Prediction of Long-term Reductions in Estimated GFR. American Journal of Kidney Diseases. 79(5). 646–656.e1. 15 indexed citations
4.
Jalali, Amirhossein, Michael Kitching, Kenneth W. Martin, et al.. (2021). Integrating inflammatory serum biomarkers into a risk calculator for prostate cancer detection. Scientific Reports. 11(1). 2525–2525. 10 indexed citations
5.
Martin, William P., Sarah Cormican, Tomás P. Griffin, et al.. (2021). Multiplex Serum Biomarker Assays Improve Prediction of Renal and Mortality Outcomes in Chronic Kidney Disease. Kidney360. 2(8). 1225–1239. 6 indexed citations
6.
Brennan, Kieran, Katrin Martin, S. P. Fitzgerald, et al.. (2020). A comparison of methods for the isolation and separation of extracellular vesicles from protein and lipid particles in human serum. Scientific Reports. 10(1). 1039–1039. 641 indexed citations breakdown →
7.
Fitzgerald, Stephen P., et al.. (2019). Application of a New Multiplexed Array for Rapid, Sensitive, Simultaneous and Quantitative Assessment of Spliced and Unspliced XBP1. Biological Procedures Online. 21(1). 22–22. 1 indexed citations
8.
Badrnya, Sigrun, Ciarán Richardson, R.I. McConnell, et al.. (2017). Development of a new biochip array for APOE4 classification from plasma samples using immunoassay-based methods. Clinical Chemistry and Laboratory Medicine (CCLM). 56(5). 796–802. 4 indexed citations
9.
Richardson, Ciarán, Kei Sakamoto, Paola de los Heros, et al.. (2011). Regulation of the NKCC2 ion cotransporter by SPAK-OSR1-dependent and -independent pathways. Journal of Cell Science. 124(5). 789–800. 153 indexed citations
10.
Rafiqi, Fatema H., Annie Mercier Zuber, Mark Glover, et al.. (2010). Role of the WNK‐activated SPAK kinase in regulating blood pressure. EMBO Molecular Medicine. 2(2). 63–75. 218 indexed citations
11.
San‐Cristobal, Pedro, Diana Pacheco‐Alvarez, Ciarán Richardson, et al.. (2009). Angiotensin II signaling increases activity of the renal Na-Cl cotransporter through a WNK4-SPAK-dependent pathway. Proceedings of the National Academy of Sciences. 106(11). 4384–4389. 200 indexed citations
12.
Richardson, Ciarán, Fatema H. Rafiqi, Håkan Karlsson, et al.. (2008). Activation of the thiazide-sensitive Na+-Cl– cotransporter by the WNK-regulated kinases SPAK and OSR1. Journal of Cell Science. 121(5). 675–684. 294 indexed citations
13.
Richardson, Ciarán & Dario R. Alessi. (2008). The regulation of salt transport and blood pressure by the WNK-SPAK/OSR1 signalling pathway. Journal of Cell Science. 121(20). 3293–3304. 235 indexed citations
14.
Richardson, Ciarán, Paul Brennan, Martine B. Powell, et al.. (2005). Susceptibility of B lymphocytes to adenovirus type 5 infection is dependent upon both coxsackie–adenovirus receptor and αvβ5 integrin expression. Journal of General Virology. 86(6). 1669–1679. 14 indexed citations
15.
Richardson, Ciarán, Ceri A. Fielding, Martin Rowe, & Paul Brennan. (2003). Epstein-Barr Virus Regulates STAT1 through Latent Membrane Protein 1. Journal of Virology. 77(7). 4439–4443. 26 indexed citations
16.
MacDonald, Marnie L., Kathryn Mack, Ciarán Richardson, & John A. Glomset. (1988). Regulation of diacylglycerol kinase reaction in Swiss 3T3 cells. Increased phosphorylation of endogenous diacylglycerol and decreased phosphorylation of didecanoylglycerol in response to platelet-derived growth factor.. Journal of Biological Chemistry. 263(3). 1575–1583. 81 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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