David Darling

401 total citations
12 papers, 293 citations indexed

About

David Darling is a scholar working on Surgery, Urology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David Darling has authored 12 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 4 papers in Urology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David Darling's work include Bladder and Urothelial Cancer Treatments (10 papers), Urinary and Genital Oncology Studies (8 papers) and Urological Disorders and Treatments (3 papers). David Darling is often cited by papers focused on Bladder and Urothelial Cancer Treatments (10 papers), Urinary and Genital Oncology Studies (8 papers) and Urological Disorders and Treatments (3 papers). David Darling collaborates with scholars based in New Zealand, United States and Austria. David Darling's co-authors include P.J. O’Sullivan, James M. Suttie, L. Kavalieris, Yair Lotan, Shahrokh F. Shariat, Jay D. Raman, Parry Guilford, Elsie Jacobson, Chris Frampton and Douglas S. Scherr and has published in prestigious journals such as The Journal of Urology, BMC Medical Research Methodology and Pacing and Clinical Electrophysiology.

In The Last Decade

David Darling

12 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Darling New Zealand 7 274 75 67 54 33 12 293
Katie Gustafson United States 4 226 0.8× 101 1.3× 51 0.8× 41 0.8× 56 1.7× 5 294
Kirstin A. van der Keur Netherlands 6 329 1.2× 176 2.3× 63 0.9× 81 1.5× 43 1.3× 7 388
Petter Kollberg Sweden 8 292 1.1× 66 0.9× 57 0.9× 81 1.5× 72 2.2× 16 312
Talia Faison United States 8 277 1.0× 94 1.3× 93 1.4× 60 1.1× 99 3.0× 10 363
A. Brisuda Czechia 8 229 0.8× 150 2.0× 72 1.1× 116 2.1× 57 1.7× 20 393
Kei Daizumoto Japan 8 63 0.2× 63 0.8× 28 0.4× 79 1.5× 38 1.2× 39 195
Christian Weiß Germany 7 140 0.5× 70 0.9× 82 1.2× 31 0.6× 61 1.8× 10 275
Anouk E. Hentschel Netherlands 7 112 0.4× 107 1.4× 11 0.2× 34 0.6× 19 0.6× 13 182
Victor Kucherov United States 6 119 0.4× 206 2.7× 48 0.7× 43 0.8× 30 0.9× 13 340
Sarah Scagliarini Italy 7 100 0.4× 85 1.1× 8 0.1× 98 1.8× 41 1.2× 23 207

Countries citing papers authored by David Darling

Since Specialization
Citations

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

Fields of papers citing papers by David Darling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Darling

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

All Works

12 of 12 papers shown
1.
Woldu, Solomon L., Casey K. Ng, Ronald K. Loo, et al.. (2020). Evaluation of the New American Urological Association Guidelines Risk Classification for Hematuria. The Journal of Urology. 205(5). 1387–1393. 13 indexed citations
2.
3.
4.
Darling, David, et al.. (2017). Clinical Utility of Cxbladder for the Diagnosis of Urothelial Carcinoma. Advances in Therapy. 34(5). 1087–1096. 27 indexed citations
5.
Lotan, Yair, P.J. O’Sullivan, Jay D. Raman, et al.. (2017). Clinical comparison of noninvasive urine tests for ruling out recurrent urothelial carcinoma. Urologic Oncology Seminars and Original Investigations. 35(8). 531.e15–531.e22. 95 indexed citations
6.
7.
Kavalieris, L., P.J. O’Sullivan, Chris Frampton, et al.. (2016). Performance Characteristics of a Multigene Urine Biomarker Test for Monitoring for Recurrent Urothelial Carcinoma in a Multicenter Study. The Journal of Urology. 197(6). 1419–1426. 88 indexed citations
8.
Lotan, Yair, Jay D. Raman, Shahrokh F. Shariat, et al.. (2016). PI-LBA07 THE DEVELOPMENT AND CLINICAL VALIDATION OF A HIGH SENSITIVITY URINE BIOMARKER TEST FOR THE DETERMINATION OF RECURRENCE IN UROTHELIAL CARCINOMA PATIENTS. The Journal of Urology. 195(4S). 1 indexed citations
9.
Kasabov, Nikola, Ashish M. Kamat, Elsie Jacobson, et al.. (2015). A holistic comparative analysis of diagnostic tests for urothelial carcinoma: a study of Cxbladder Detect, UroVysion® FISH, NMP22® and cytology based on imputation of multiple datasets. BMC Medical Research Methodology. 15(1). 45–45. 24 indexed citations
10.
11.
LaHaye, Stephen A., Richard G. Sheahan, David Darling, Paul Dorian, & David Newman. (1997). Serial Measures of Sinoatrial and Atrioventricular Nodal Function in Ambulatory Patients. Pacing and Clinical Electrophysiology. 20(9). 2219–2226. 1 indexed citations
12.
Newman, David, et al.. (1994). Behavior of a respiratory rate-responsive pacemaker during and after cardiac surgery. Journal of Cardiothoracic and Vascular Anesthesia. 8(6). 675–677. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Katie Gustafson Breakdown of academic impact, for papers by Kirstin A. van der Keur Breakdown of academic impact, for papers by Petter Kollberg Breakdown of academic impact, for papers by Talia Faison Breakdown of academic impact, for papers by A. Brisuda Breakdown of academic impact, for papers by Kei Daizumoto Breakdown of academic impact, for papers by Christian Weiß Breakdown of academic impact, for papers by Anouk E. Hentschel Breakdown of academic impact, for papers by Victor Kucherov Breakdown of academic impact, for papers by Sarah Scagliarini
Rankless by CCL
2026