Jon D. Morrow
Impact in
- Urology top 0.5%
- Urinary Bladder and Prostate Research
- Urological Disorders and Treatments
- Rheumatology top 5%
- Pelvic floor disorders treatments
Papers in
- Urology 12
- Urinary Bladder and Prostate Research 12
-
- Pelvic floor disorders treatments 3
- Co-authors
- Zhonghong Guan (7 shared papers)Jason Gong (4 shared papers)Franklin Sun (6 shared papers)Rebecca Glenn Rogers (4 shared papers)Tamara G Bavendam (4 shared papers)Marina Brodsky (1 shared paper)Sender Herschorn (1 shared paper)Martin Ove Carlsson (1 shared paper)
- Journals
- International Urogynecology Journal (4 papers)British Journal of Urology (3 papers)Neurourology and Urodynamics (2 papers)Current Medical Research and Opinion (2 papers)Urology (1 paper)
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Jon D. Morrow
15 papers receiving 547 citations
Peers
Comparison fields: 5 of 37
- Urology 409
- Rheumatology 218
- Epidemiology 108
- Gastroenterology 14
- Health Informatics 2
Countries citing papers authored by Jon D. Morrow
This map shows the geographic impact of Jon D. Morrow'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 Jon D. Morrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon D. Morrow more than expected).
Fields of papers citing papers by Jon D. Morrow
This network shows the impact of papers produced by Jon D. Morrow. 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 Jon D. Morrow. The network helps show where Jon D. Morrow may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon D. Morrow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 139 | |
| 2 | 2009 | 79 | |
| 3 | 2008 | 69 | |
| 4 | 2009 | 68 | |
| 5 | 2009 | 31 | |
| 6 | 2014 | 30 | |
| 7 | 2011 | 28 | |
| 8 | 2012 | 26 | |
| 9 | 2009 | 21 | |
| 10 | 2010 | 19 | |
| 11 | 2009 | 15 | |
| 12 | 2022 | 11 | |
| 13 | 2010 | 9 | |
| 14 | 2012 | 6 | |
| 15 | 2010 | 5 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Jon D. Morrow
Jon D. Morrow is a scholar working on Urology, Rheumatology, Modeling and Simulation, Epidemiology and Signal Processing, having authored 17 papers that have together received 556 indexed citations. Recurring topics across this work include Urinary Bladder and Prostate Research (12 papers), Pelvic floor disorders treatments (3 papers), Urinary Tract Infections Management (2 papers), COVID-19 epidemiological studies (1 paper), Anomaly Detection Techniques and Applications (1 paper), Time Series Analysis and Forecasting (1 paper), Machine Learning in Healthcare (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Urology (409 citations), Rheumatology (218 citations), Epidemiology (108 citations), Gastroenterology (14 citations) and Health Informatics (2 citations). Jon D. Morrow has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Zhonghong Guan, Jason Gong, Franklin Sun, Rebecca Glenn Rogers, Tamara G Bavendam, Marina Brodsky, Sender Herschorn, Martin Ove Carlsson, Steven Swift and David R. Staskin. Their work appears in journals such as International Urogynecology Journal, British Journal of Urology, Neurourology and Urodynamics, Current Medical Research and Opinion 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.