Mary Jo Kurth

490 total citations
29 papers, 290 citations indexed

About

Mary Jo Kurth is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mary Jo Kurth has authored 29 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Nephrology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mary Jo Kurth's work include Acute Kidney Injury Research (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Mary Jo Kurth is often cited by papers focused on Acute Kidney Injury Research (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Mary Jo Kurth collaborates with scholars based in United Kingdom, France and Ireland. Mary Jo Kurth's co-authors include John Lamont, Peter Fitzgerald, Mark W. Ruddock, Matthew O’Brien, R.I. McConnell, Peter Crean, C. Geraldine McMahon, S. P. Fitzgerald, Werner Dubitzky and Xianfeng Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and American Journal of Kidney Diseases.

In The Last Decade

Mary Jo Kurth

24 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Jo Kurth United Kingdom 9 91 72 70 37 25 29 290
Francisco Azzato Argentina 10 70 0.8× 80 1.1× 121 1.7× 17 0.5× 34 1.4× 23 456
Anna V. Oláh Hungary 11 123 1.4× 28 0.4× 42 0.6× 9 0.2× 14 0.6× 41 311
Hiroyuki Onodera Japan 9 65 0.7× 23 0.3× 133 1.9× 45 1.2× 22 0.9× 18 430
Jingjing Zhao China 11 102 1.1× 10 0.1× 86 1.2× 19 0.5× 24 1.0× 27 285
Mohini Patel United States 9 39 0.4× 46 0.6× 36 0.5× 12 0.3× 24 1.0× 17 302
Tadashi Miyahara Japan 10 91 1.0× 63 0.9× 31 0.4× 5 0.1× 27 1.1× 35 286
N. Okada Japan 12 47 0.5× 56 0.8× 48 0.7× 7 0.2× 8 0.3× 25 400
Emmanuel Estève France 12 99 1.1× 120 1.7× 26 0.4× 19 0.5× 40 1.6× 30 425
Hugh Schieren United States 12 191 2.1× 15 0.2× 63 0.9× 17 0.5× 14 0.6× 23 460

Countries citing papers authored by Mary Jo Kurth

Since Specialization
Citations

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

Fields of papers citing papers by Mary Jo Kurth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Jo Kurth. 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 Mary Jo Kurth. The network helps show where Mary Jo Kurth may publish in the future.

Co-authorship network of co-authors of Mary Jo Kurth

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Jo Kurth. A scholar is included among the top collaborators of Mary Jo Kurth 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 Mary Jo Kurth. Mary Jo Kurth 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.
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.
Irvine, Allister, et al.. (2024). The Importance of Diagnostics in the Treatment of Urinary Tract Infections in the United Kingdom. Research and Reports in Urology. Volume 16. 327–335.
3.
Watson, Christopher J.E., Mark W. Ruddock, Mary Jo Kurth, et al.. (2024). Feto‐maternal indicators of cardiac dysfunction as a justification for the cardiac origins for pre‐eclampsia. International Journal of Gynecology & Obstetrics. 167(3). 941–948.
4.
Mikropoulou, Eleni V., Charalampia Amerikanou, Maja Milanović, et al.. (2023). Plasma Amino Acids in NAFLD Patients with Obesity Are Associated with Steatosis and Fibrosis: Results from the MAST4HEALTH Study. Metabolites. 13(8). 959–959. 6 indexed citations
5.
Nesbit, M. Andrew, Mark W. Ruddock, Paul Brennan, et al.. (2022). A novel algorithm for cardiovascular screening using conjunctival microcirculatory parameters and blood biomarkers. Scientific Reports. 12(1). 6545–6545. 8 indexed citations
6.
Duggan, Brian, Declan O’Rourke, Neil Anderson, et al.. (2022). Biomarkers to assess the risk of bladder cancer in patients presenting with haematuria are gender-specific. Frontiers in Oncology. 12. 1009014–1009014. 4 indexed citations
7.
Kurth, Mary Jo, et al.. (2022). Non-alcoholic fatty liver disease—A pilot study investigating early inflammatory and fibrotic biomarkers of NAFLD with alcoholic liver disease. Frontiers in Physiology. 13. 963513–963513. 4 indexed citations
8.
9.
McNally, Christopher J., Mary Jo Kurth, John Lamont, et al.. (2022). A Novel Combination of Serum Markers in a Multivariate Model to Help Triage Patients Into “Low-” and “High-Risk” Categories for Prostate Cancer. Frontiers in Oncology. 12. 837127–837127. 6 indexed citations
10.
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
11.
McBride, William T., et al.. (2021). Blood and urinary cytokine balance and renal outcomes at cardiac surgery. BMC Nephrology. 22(1). 406–406. 4 indexed citations
12.
Kurth, Mary Jo, et al.. (2020). Acute kidney injury risk in orthopaedic trauma patients pre and post surgery using a biomarker algorithm and clinical risk score. Scientific Reports. 10(1). 20005–20005. 13 indexed citations
13.
McBride, William T., Mary Jo Kurth, John Lamont, et al.. (2019). Stratifying risk of acute kidney injury in pre and post cardiac surgery patients using a novel biomarker-based algorithm and clinical risk score. Scientific Reports. 9(1). 16963–16963. 22 indexed citations
14.
Kurth, Mary Jo, et al.. (2019). An Algorithm Based on Combining hs-cTnT and H-FABP for Ruling Out Acute Myocardial Infarction. Computing in Cardiology Conference. 1–4. 1 indexed citations
15.
16.
Connolly, Michael, David McEneaney, Ian Menown, et al.. (2017). Prediction of contrast induced acute kidney injury using novel biomarkers following contrast coronary angiography. QJM. 111(2). 103–110. 24 indexed citations
17.
Stathopoulou, Maria G., Christine Masson, Mary Jo Kurth, et al.. (2016). Plasma VEGF-related polymorphisms are implied in autoimmune thyroid diseases. Autoimmunity. 49(4). 229–235. 7 indexed citations
18.
McMahon, C. Geraldine, John Lamont, R.I. McConnell, et al.. (2011). Diagnostic accuracy of heart-type fatty acid–binding protein for the early diagnosis of acute myocardial infarction. The American Journal of Emergency Medicine. 30(2). 267–274. 63 indexed citations
19.
Gilbert, David, Xianfeng Gu, Richard Orton, et al.. (2006). Computational methodologies for modelling, analysis and simulation of signalling networks. Briefings in Bioinformatics. 7(4). 339–353. 59 indexed citations
20.
Hautmann, Richard E., Mary Jo Kurth, H Buss, & W Lutzeyer. (1977). [Nephrotoxicity of gentamycin-cephalothin combination therapy].. PubMed. 28(40). 1617–20. 1 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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