Dervla M. Connaughton

1.8k total citations
34 papers, 509 citations indexed

About

Dervla M. Connaughton is a scholar working on Nephrology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dervla M. Connaughton has authored 34 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nephrology, 13 papers in Molecular Biology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dervla M. Connaughton's work include Renal Diseases and Glomerulopathies (12 papers), Renal and related cancers (11 papers) and Pediatric Urology and Nephrology Studies (4 papers). Dervla M. Connaughton is often cited by papers focused on Renal Diseases and Glomerulopathies (12 papers), Renal and related cancers (11 papers) and Pediatric Urology and Nephrology Studies (4 papers). Dervla M. Connaughton collaborates with scholars based in United States, Canada and Ireland. Dervla M. Connaughton's co-authors include Friedhelm Hildebrandt, Peter J. Conlon, Jordi Sebastià, Caoimhín G. Concannon, Jochen H.M. Prehn, Beau J. Fenner, Matthew King, Orla Hardiman, Matthew Greenway and Dairín Kieran and has published in prestigious journals such as Journal of Neuroscience, Annals of Internal Medicine and Neurology.

In The Last Decade

Dervla M. Connaughton

26 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dervla M. Connaughton United States 10 260 188 115 85 75 34 509
Duccio Lombardi Italy 6 234 0.9× 213 1.1× 69 0.6× 47 0.6× 11 0.1× 15 395
Nana Sakakibara Japan 15 332 1.3× 128 0.7× 98 0.9× 150 1.8× 3 0.0× 70 650
Riana K. Parvez United States 10 738 2.8× 140 0.7× 328 2.9× 138 1.6× 15 0.2× 12 922
Harald O. Schöcklmann Germany 12 151 0.6× 138 0.7× 35 0.3× 29 0.3× 58 0.8× 17 401
Patrick Dummer United States 7 144 0.6× 384 2.0× 16 0.1× 58 0.7× 27 0.4× 8 528
Tomohiro Udagawa Japan 9 198 0.8× 184 1.0× 37 0.3× 62 0.7× 6 0.1× 25 516
Bettina E. Mucha United States 14 665 2.6× 1.0k 5.4× 153 1.3× 216 2.5× 21 0.3× 18 1.3k
Jennifer C. Rodrigues Canada 5 96 0.4× 322 1.7× 73 0.6× 20 0.2× 12 0.2× 7 597
Caren Gundberg United States 9 236 0.9× 139 0.7× 34 0.3× 56 0.7× 10 0.1× 12 550
Ayumi Omokawa Japan 11 78 0.3× 115 0.6× 100 0.9× 20 0.2× 7 0.1× 22 305

Countries citing papers authored by Dervla M. Connaughton

Since Specialization
Citations

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

Fields of papers citing papers by Dervla M. Connaughton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dervla M. Connaughton. 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 Dervla M. Connaughton. The network helps show where Dervla M. Connaughton may publish in the future.

Co-authorship network of co-authors of Dervla M. Connaughton

This figure shows the co-authorship network connecting the top 25 collaborators of Dervla M. Connaughton. A scholar is included among the top collaborators of Dervla M. Connaughton 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 Dervla M. Connaughton. Dervla M. Connaughton 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.
Garg, Amit X., Eric McArthur, Jessica M. Sontrop, et al.. (2025). Risk for Scrotal Surgery After Laparoscopic Donor Nephrectomy. Annals of Internal Medicine. 179(1). 23–31.
2.
Connaughton, Dervla M. & Andrew J. Mallett. (2025). Models of Care for the Implementation of Genetic Testing in Nephrology. Seminars in Nephrology. 45(5). 151649–151649.
3.
Roshanov, Pavel S, et al.. (2024). Utility of Genetic Testing in Adults with CKD. Clinical Journal of the American Society of Nephrology. 20(1). 101–115. 6 indexed citations
4.
Connaughton, Dervla M., et al.. (2023). Genotypic analysis of a large cohort of patients with suspected atypical hemolytic uremic syndrome. Journal of Molecular Medicine. 101(8). 1029–1040. 2 indexed citations
5.
Buerger, Florian, Chunyan Wang, Bixia Zheng, et al.. (2023). Prioritization of Monogenic Congenital Anomalies of the Kidney and Urinary Tract Candidate Genes with Existing Single-Cell Transcriptomics Data of the Human Fetal Kidney. ˜The œNephron journals/Nephron journals. 147(11). 685–692.
6.
Connaughton, Dervla M., et al.. (2022). Monogenic causation of pediatric nephrolithiasis. 2. 6 indexed citations
7.
Connaughton, Dervla M., et al.. (2022). Podocalyxin (PODXL) Nonsense Variant in Patients With Atypical Adult-Onset Focal Segmental Glomerulosclerosis (FSGS). Journal of the American Society of Nephrology. 33(11S). 759–759.
8.
Bleyer, Anthony J., Kendrah Kidd, Adrienne H. Williams, et al.. (2022). Maternal health and pregnancy outcomes in autosomal dominant tubulointerstitial kidney disease. Obstetric Medicine. 16(3). 162–169.
9.
Zheng, Bixia, Chunyan Wang, Dervla M. Connaughton, et al.. (2021). Whole-Exome Sequencing Identifies FOXL2, FOXA2, and FOXA3 as Candidate Genes for Monogenic Congenital Anomalies of the Kidneys and Urinary Tract. Journal of the American Society of Nephrology. 32(10S). 429–429. 1 indexed citations
10.
11.
Lüdtke, Timo H., et al.. (2021). Proteomic analysis identifies ZMYM2 as endogenous binding partner of TBX18 protein in 293 and A549 cells. Biochemical Journal. 479(1). 91–109. 4 indexed citations
12.
Murray, Susan, Anthony Dorman, Katherine A. Benson, et al.. (2019). Utility of Genomic Testing after Renal Biopsy. American Journal of Nephrology. 51(1). 43–53. 19 indexed citations
13.
Murray, Susan, et al.. (2019). Karyomegalic Interstitial Nephritis: Cancer Risk Following Transplantation. ˜The œNephron journals/Nephron journals. 144(1). 49–54. 7 indexed citations
14.
Stapleton, Caragh P., Claire Kennedy, Susan Murray, et al.. (2019). An Exome Sequencing Study of 10 Families with IgA Nephropathy. ˜The œNephron journals/Nephron journals. 144(2). 72–83. 13 indexed citations
15.
Cormican, Sarah, Dervla M. Connaughton, Claire Kennedy, et al.. (2019). Autosomal dominant tubulointerstitial kidney disease (ADTKD) in Ireland. Renal Failure. 41(1). 832–841. 14 indexed citations
16.
Canney, Mark, Paul O’Hara, Caitríona M. McEvoy, et al.. (2016). Spatial and Temporal Clustering of Anti-Glomerular Basement Membrane Disease. Clinical Journal of the American Society of Nephrology. 11(8). 1392–1399. 67 indexed citations
17.
O’Regan, John, Mark Canney, Dervla M. Connaughton, et al.. (2015). Tacrolimus trough-level variability predicts long-term allograft survival following kidney transplantation. Journal of Nephrology. 29(2). 269–276. 54 indexed citations
18.
Connaughton, Dervla M., Yvonne Williams, John O’Regan, et al.. (2015). The Irish living kidney donor program – why potential donors do not proceed to live kidney donation?. Clinical Transplantation. 30(1). 17–25. 19 indexed citations
19.
Connaughton, Dervla M., Patrick O’Kelly, John K. Ormond, et al.. (2012). Home haemodialysis in Ireland. Irish Journal of Medical Science (1971 -). 182(1). 91–96. 7 indexed citations
20.
Kieran, Dairín, Jordi Sebastià, Matthew Greenway, et al.. (2008). Control of Motoneuron Survival by Angiogenin. Journal of Neuroscience. 28(52). 14056–14061. 145 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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