Darren Green

2.4k total citations
92 papers, 1.3k citations indexed

About

Darren Green is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Darren Green has authored 92 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Nephrology, 31 papers in Pulmonary and Respiratory Medicine and 29 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Darren Green's work include Dialysis and Renal Disease Management (22 papers), Renal and Vascular Pathologies (21 papers) and Chronic Kidney Disease and Diabetes (17 papers). Darren Green is often cited by papers focused on Dialysis and Renal Disease Management (22 papers), Renal and Vascular Pathologies (21 papers) and Chronic Kidney Disease and Diabetes (17 papers). Darren Green collaborates with scholars based in United Kingdom, United States and Switzerland. Darren Green's co-authors include Philip A. Kalra, James Ritchie, Rachel Middleton, Constantina Chrysochou, David New, Smeeta Sinha, Paul R. Roberts, Nicholas Chalmers, Rajkumar Chinnadurai and Robert N. Foley and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

Darren Green

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren Green United Kingdom 20 468 436 370 314 160 92 1.3k
William E. Haley United States 22 341 0.7× 293 0.7× 640 1.7× 245 0.8× 88 0.6× 61 1.3k
Faeq Husain‐Syed Germany 19 383 0.8× 691 1.6× 306 0.8× 473 1.5× 269 1.7× 70 1.9k
Kenechukwu Mezue United States 13 236 0.5× 264 0.6× 659 1.8× 196 0.6× 151 0.9× 44 1.2k
Gaetano Ruocco Italy 20 293 0.6× 203 0.5× 668 1.8× 191 0.6× 103 0.6× 75 1.0k
Hadi Skouri Lebanon 14 404 0.9× 192 0.4× 922 2.5× 235 0.7× 112 0.7× 45 1.2k
Robert Zymliński Poland 21 344 0.7× 281 0.6× 952 2.6× 192 0.6× 129 0.8× 89 1.4k
Christian G. Rabbat Canada 16 212 0.5× 433 1.0× 394 1.1× 472 1.5× 189 1.2× 29 1.5k
Hirotake Okazaki Japan 16 196 0.4× 214 0.5× 454 1.2× 193 0.6× 107 0.7× 67 840
Alessandro Putzu Switzerland 21 308 0.7× 145 0.3× 423 1.1× 309 1.0× 243 1.5× 47 1.2k
Ángel L.M. de Francisco Spain 25 417 0.9× 910 2.1× 215 0.6× 432 1.4× 126 0.8× 117 1.9k

Countries citing papers authored by Darren Green

Since Specialization
Citations

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

Fields of papers citing papers by Darren Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Green

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Green. A scholar is included among the top collaborators of Darren Green 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 Darren Green. Darren Green 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
3.
Kopczynska, Maja, Katherine White, Darren Green, et al.. (2024). Association between chronic intestinal failure etiology and eGFR trajectory in adults receiving home parenteral nutrition: A retrospective longitudinal cohort study. Journal of Parenteral and Enteral Nutrition. 48(6). 700–707.
4.
Green, Darren, et al.. (2024). Long Term Outcomes After Renal Revascularization for Atherosclerotic Renovascular Disease in the ASTRAL Trial. Circulation Cardiovascular Interventions. 17(9). e013979–e013979. 2 indexed citations
5.
Green, Darren, et al.. (2024). Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions. BMJ Health & Care Informatics. 31(1). e101088–e101088. 1 indexed citations
6.
Green, Darren, et al.. (2023). Pharmacological management of cardio-renal-metabolic disease including new potassium binders. Medicine. 51(3). 176–179. 1 indexed citations
7.
Al‐Chalabi, Saif, Darren Green, Philip A. Kalra, et al.. (2023). Improving outpatient clinic experience: the future of chronic kidney disease care and associated multimorbidity. BMJ Open Quality. 12(3). e002188–e002188. 3 indexed citations
8.
Smith, Martin, et al.. (2021). Consequences of the emergency response to COVID-19: a whole health care system review in a single city in the United Kingdom. BMC Emergency Medicine. 21(1). 55–55. 6 indexed citations
9.
James, Ben, et al.. (2020). Mortality risk by peak serum creatinine in hospital episodes complicated by acute kidney injury. Clinical Medicine. 20(2). s109–s110. 3 indexed citations
10.
Vasant, Dipesh H., R Kalaiselvan, Ashley Bond, et al.. (2018). The chronic intestinal pseudo-obstruction subtype has prognostic significance in patients with severe gastrointestinal dysmotility related intestinal failure. Clinical Nutrition. 37(6). 1967–1975. 16 indexed citations
11.
Kalra, Phillip A., et al.. (2018). Prevalence and outcomes of proton pump inhibitor associated hypomagnesemia in chronic kidney disease. PLoS ONE. 13(5). e0197400–e0197400. 8 indexed citations
12.
Green, Darren, et al.. (2018). The Association of Echocardiographic Peak Systolic Strain Rate with Cardiovascular Outcomes in Haemodialysis Patients. Kidney & Blood Pressure Research. 43(6). 1935–1942.
13.
Roberts, Paul R., John M. Morgan, Arthur Yue, et al.. (2017). Monitoring of arrhythmia and sudden death in a hemodialysis population: The CRASH-ILR Study. PLoS ONE. 12(12). e0188713–e0188713. 34 indexed citations
14.
Sinha, Smeeta, et al.. (2016). Novel Approach to Cardiovascular Outcome Prediction in Haemodialysis Patients. American Journal of Nephrology. 43(3). 143–152. 10 indexed citations
15.
Ritchie, James, et al.. (2015). Associations of antiplatelet therapy and beta blockade with patient outcomes in atherosclerotic renovascular disease. Journal of the American Society of Hypertension. 10(2). 149–158.e3. 10 indexed citations
16.
Roberts, Paul R., Natalie Borman, John M. Morgan, et al.. (2013). Abstract 10581: Cardio Renal Arrhythmia Study in Hemodialysis Patients Using Implantable Loop Recorders (CRASH-ILR). Circulation. 128. 1 indexed citations
17.
Green, Darren, et al.. (2013). The association of ECG and echocardiographic abnormalities with sudden cardiac death in a dialysis patient cohort. Journal of Nephrology. 27(1). 81–86. 10 indexed citations
18.
Green, Darren, James Ritchie, David New, & Philip A. Kalra. (2013). How Accurately Do Nephrologists Predict the Need for Dialysis within One Year?. Nephron Clinical Practice. 122(3-4). 102–106. 4 indexed citations
19.
Green, Darren, et al.. (2012). Dialysis‐Dependent Changes in Ventricular Repolarization. Pacing and Clinical Electrophysiology. 35(6). 703–710. 7 indexed citations
20.
Green, Darren, et al.. (2012). LIPID‐LOWERING THERAPY IN CHRONIC KIDNEY DISEASE: IS THERE A ROLE FOR EZETIMIBE?. Journal of Renal Care. 38(3). 138–146. 4 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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