Casey K. Ng
Impact in
Papers in
- Surgery 35
- Bladder and Urothelial Cancer Treatments 29
- Surgical Simulation and Training 6
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- Renal cell carcinoma treatment 13
- Prostate Cancer Diagnosis and Treatment 3
- Co-authors
- Douglas S. Scherr (32 shared papers)Jay D. Raman (14 shared papers)Shahrokh F. Shariat (17 shared papers)Inderbir S. Gill (8 shared papers)Stephen A. Boorjian (10 shared papers)Monish Aron (6 shared papers)Mihir Desai (6 shared papers)Mukul Patil (7 shared papers)
- Journals
- The Journal of Urology (24 papers)British Journal of Urology (8 papers)Urologic Oncology Seminars and Original Investigations (3 papers)Journal of Endourology (3 papers)Urology (3 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Casey K. Ng
53 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 76
- Urology 489
- Surgery 1.8k
- Pulmonary and Respiratory Medicine 567
- Obstetrics and Gynecology 35
- Biophysics 30
Countries citing papers authored by Casey K. Ng
This map shows the geographic impact of Casey K. Ng'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 Casey K. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey K. Ng more than expected).
Fields of papers citing papers by Casey K. Ng
This network shows the impact of papers produced by Casey K. Ng. 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 Casey K. Ng. The network helps show where Casey K. Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey K. Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 210 | |
| 2 | 2010 | 194 | |
| 3 | 2011 | 189 | |
| 4 | 2011 | 176 | |
| 5 | 2012 | 164 | |
| 6 | 2009 | 160 | |
| 7 | 2004 | 154 | |
| 8 | 2005 | 131 | |
| 9 | 2011 | 104 | |
| 10 | 2011 | 100 | |
| 11 | 2005 | 96 | |
| 12 | 2009 | 70 | |
| 13 | 2011 | 68 | |
| 14 | 2011 | 67 | |
| 15 | 2011 | 66 | |
| 16 | 2013 | 63 | |
| 17 | 2008 | 63 | |
| 18 | 2005 | 55 | |
| 19 | 2010 | 55 | |
| 20 | 2011 | 50 |
About Casey K. Ng
Casey K. Ng is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Urology, Pediatrics, Perinatology and Child Health and Rheumatology, having authored 56 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (29 papers), Renal cell carcinoma treatment (13 papers), Surgical Simulation and Training (6 papers), Pediatric Urology and Nephrology Studies (6 papers), Urological Disorders and Treatments (5 papers), Urinary Bladder and Prostate Research (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Urologic and reproductive health conditions (2 papers). The work is most often cited by research in Urology (489 citations), Surgery (1.8k citations), Pulmonary and Respiratory Medicine (567 citations), Obstetrics and Gynecology (35 citations) and Biophysics (30 citations). Casey K. Ng has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Douglas S. Scherr, Jay D. Raman, Shahrokh F. Shariat, Inderbir S. Gill, Stephen A. Boorjian, Monish Aron, Mihir Desai, Mukul Patil, Andrew J. Hung and Alexis E. Te. Their work appears in journals such as The Journal of Urology, British Journal of Urology, Urologic Oncology Seminars and Original Investigations, Journal of Endourology and Urology.
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.