Daniel T. Keefe

950 total citations
51 papers, 549 citations indexed

About

Daniel T. Keefe is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Urology. According to data from OpenAlex, Daniel T. Keefe has authored 51 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Pediatrics, Perinatology and Child Health, 18 papers in Surgery and 17 papers in Urology. Recurrent topics in Daniel T. Keefe's work include Pediatric Urology and Nephrology Studies (23 papers), Urological Disorders and Treatments (14 papers) and Urinary Tract Infections Management (10 papers). Daniel T. Keefe is often cited by papers focused on Pediatric Urology and Nephrology Studies (23 papers), Urological Disorders and Treatments (14 papers) and Urinary Tract Infections Management (10 papers). Daniel T. Keefe collaborates with scholars based in Canada, United States and Philippines. Daniel T. Keefe's co-authors include Steven L. Haddad, Armando J. Lorenzo, Mandy Rickard, Abi Sriharan, T. Kien, Christopher Morash, Eric C. Bélanger, Nicola Schieda, Susan J. Robertson and Rodney H. Breau and has published in prestigious journals such as The American Journal of Sports Medicine, The Journal of Urology and Urology.

In The Last Decade

Daniel T. Keefe

45 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel T. Keefe Canada 14 193 152 151 130 90 51 549
Paweł Nachulewicz Poland 12 197 1.0× 32 0.2× 67 0.4× 75 0.6× 52 0.6× 36 354
Alan Mortell Ireland 12 263 1.4× 108 0.7× 22 0.1× 38 0.3× 23 0.3× 29 446
Erik N. Mayer United States 15 421 2.2× 53 0.3× 5 0.0× 40 0.3× 64 0.7× 38 597
Mary Anderson United States 7 176 0.9× 203 1.3× 14 0.1× 40 0.3× 45 0.5× 10 502
Joseph M. Gleason United States 14 238 1.2× 138 0.9× 104 0.7× 166 1.3× 21 0.2× 26 515
Temitope E Adewuyi United Kingdom 6 107 0.6× 71 0.5× 43 0.3× 54 0.4× 50 0.6× 9 368
Adam C. Alder United States 14 536 2.8× 99 0.7× 14 0.1× 102 0.8× 37 0.4× 38 702
Sameer Gujral United Kingdom 7 225 1.2× 68 0.4× 8 0.1× 50 0.4× 41 0.5× 26 385
John A. Sielatycki United States 17 693 3.6× 70 0.5× 7 0.0× 67 0.5× 42 0.5× 45 834
Delphine Vardon France 11 166 0.9× 34 0.2× 275 1.8× 5 0.0× 47 0.5× 28 562

Countries citing papers authored by Daniel T. Keefe

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Keefe'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 Daniel T. Keefe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Keefe more than expected).

Fields of papers citing papers by Daniel T. Keefe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Keefe. 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 Daniel T. Keefe. The network helps show where Daniel T. Keefe may publish in the future.

Co-authorship network of co-authors of Daniel T. Keefe

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Keefe. A scholar is included among the top collaborators of Daniel T. Keefe 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 Daniel T. Keefe. Daniel T. Keefe 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.
Khondker, Adree, Jethro C.C. Kwong, Lauren Erdman, et al.. (2025). The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative. Journal of Pediatric Urology. 22(1). 105646–105646.
2.
Keefe, Daniel T., et al.. (2025). A practical approach to the difficult urethral catheterization for urology trainees. PubMed. 32(1). 5–13. 1 indexed citations
3.
Dawe, Nicholas, et al.. (2025). Evaluation of ChatGPT’s performance on answering pediatric urology questions based on association guidelines. Canadian Urological Association Journal. 19(11). E362–E367.
4.
Weaver, John, Mandy Rickard, Erin Kim, et al.. (2024). Predicting chronic kidney disease progression in children with posterior urethral valves. Journal of Pediatric Urology.
5.
6.
Rickard, Mandy, Jin K. Kim, Tim Van Mieghem, et al.. (2023). The Toronto nomogram: A Bayesian meta‐regression derived prenatal ultrasound index to predict lower urinary tract obstruction and prune belly syndrome. Prenatal Diagnosis. 44(2). 117–123. 1 indexed citations
7.
Chua, Michael, et al.. (2023). 2023 Canadian Urological Association/ Pediatric Urologists of Canada guideline: Pediatric patients with neurogenic lower urinary tract dysfunction. Canadian Urological Association Journal. 17(10). E338–57. 2 indexed citations
8.
Rickard, Mandy, Armando J. Lorenzo, Jin K. Kim, et al.. (2023). Implementation of a standardized clinical pathway in a dedicated posterior urethral valves clinic: short-term outcomes. Pediatric Nephrology. 38(11). 3735–3744. 10 indexed citations
9.
Weaver, John, Mandy Rickard, Lauren Erdman, et al.. (2022). Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves. Pediatric Nephrology. 38(3). 839–846. 16 indexed citations
10.
Khondker, Adree, Jethro C.C. Kwong, Mandy Rickard, et al.. (2021). A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept. Journal of Pediatric Urology. 18(1). 78.e1–78.e7. 17 indexed citations
11.
Kwong, Jethro C.C., Adree Khondker, Jin K. Kim, et al.. (2021). Posterior Urethral Valves Outcomes Prediction (PUVOP): a machine learning tool to predict clinically relevant outcomes in boys with posterior urethral valves. Pediatric Nephrology. 37(5). 1067–1074. 32 indexed citations
12.
Keefe, Daniel T., Mandy Rickard, Nicolás Fernández, et al.. (2020). Vascular inflow after renal transplantation: Does the arteriotomy technique impact early allograft perfusion and function?. Pediatric Transplantation. 24(8). e13814–e13814. 1 indexed citations
13.
Keefe, Daniel T., et al.. (2020). Diagnosis and therapeutic strategies for nutcracker syndrome. Current Opinion in Urology. 31(2). 135–137. 3 indexed citations
14.
Rickard, Mandy, Daniel T. Keefe, Lauren Erdman, et al.. (2020). Trends and relevance in the bladder and bowel dysfunction literature: PlumX metrics contrasted with fragility indicators. Journal of Pediatric Urology. 16(4). 477.e1–477.e7. 1 indexed citations
15.
Guerra, Luis, Mélise Keays, Daniel T. Keefe, et al.. (2018). Active surveillance for antenatally detected ureteroceles: Predictors of success. Journal of Pediatric Urology. 14(3). 243.e1–243.e6. 7 indexed citations
16.
O’Kelly, Fardod, Daniel T. Keefe, Sender Herschorn, & Armando J. Lorenzo. (2018). Contemporary issues relating to transitional care in bladder exstrophy. Canadian Urological Association Journal. 12(4S1). S15–23. 6 indexed citations
17.
Flood, Trevor A., Nicola Schieda, Daniel T. Keefe, et al.. (2016). Utility of Gleason pattern 4 morphologies detected on transrectal ultrasound (TRUS)-guided biopsies for prediction of upgrading or upstaging in Gleason score 3 + 4 = 7 prostate cancer. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 469(3). 313–319. 35 indexed citations
18.
Keefe, Daniel T., et al.. (2016). Suture slippage in knotless suture anchors resulting in subacromial-subdeltoid bursitis. Skeletal Radiology. 45(5). 703–706. 3 indexed citations
19.
Chen, Lina, Daniel T. Keefe, John Park, & Donald Resnick. (2008). Posterior bony humeral avulsion of glenohumeral ligament with reverse bony Bankart lesion. Journal of Shoulder and Elbow Surgery. 18(3). e45–e49. 11 indexed citations
20.
Keefe, Daniel T. & David M. Lintner. (2004). Nerve injuries in the throwing elbow. Clinics in Sports Medicine. 23(4). 723–742. 17 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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