Ryan J. Laundry
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
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- Long-Term Effects of COVID-19
Papers in
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- Electronic Health Records Systems 4
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- Dialysis and Renal Disease Management 3
- Co-authors
- Ann M. O’Hare (6 shared papers)Paul L. Hebert (5 shared papers)Chuan‐Fen Liu (4 shared papers)Susan P Y Wong (3 shared papers)Kenric W. Hammond (6 shared papers)Lynne Vernice McFarland (1 shared paper)Nilka Rı́os Burrows (2 shared papers)Catherine R. Butler (4 shared papers)
- Journals
- JAMA Internal Medicine (4 papers)JAMA Network Open (3 papers)Journal of Traumatic Stress (1 paper)Clinical Journal of the American Society of Nephrology (1 paper)Journal of General Internal Medicine (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Ryan J. Laundry
16 papers receiving 307 citations
Peers
Comparison fields: 5 of 41
- Nephrology 83
- Neurology 54
- Public Health, Environmental and Occupational Health 123
- Transplantation 9
- Health Information Management 19
Countries citing papers authored by Ryan J. Laundry
This map shows the geographic impact of Ryan J. Laundry'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 Ryan J. Laundry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan J. Laundry more than expected).
Fields of papers citing papers by Ryan J. Laundry
This network shows the impact of papers produced by Ryan J. Laundry. 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 Ryan J. Laundry. The network helps show where Ryan J. Laundry may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan J. Laundry, 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 | 2019 | 84 | |
| 2 | 2016 | 61 | |
| 3 | 2022 | 47 | |
| 4 | 2020 | 21 | |
| 5 | 2013 | 20 | |
| 6 | 2015 | 20 | |
| 7 | 2023 | 19 | |
| 8 | 2020 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2014 | 7 | |
| 11 | 2010 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2012 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 1 |
About Ryan J. Laundry
Ryan J. Laundry is a scholar working on Health Information Management, Nephrology, Neurology, Clinical Psychology and Infectious Diseases, having authored 16 papers that have together received 315 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Dialysis and Renal Disease Management (3 papers), Long-Term Effects of COVID-19 (3 papers), Suicide and Self-Harm Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Mental Health via Writing (2 papers), Palliative Care and End-of-Life Issues (2 papers) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Nephrology (83 citations), Neurology (54 citations), Public Health, Environmental and Occupational Health (123 citations), Transplantation (9 citations) and Health Information Management (19 citations). Ryan J. Laundry has collaborated with scholars based in United States and Canada. Frequent co-authors include Ann M. O’Hare, Paul L. Hebert, Chuan‐Fen Liu, Susan P Y Wong, Kenric W. Hammond, Lynne Vernice McFarland, Nilka Rı́os Burrows, Catherine R. Butler, Janelle S. Taylor and Edward J. Boyko. Their work appears in journals such as JAMA Internal Medicine, JAMA Network Open, Journal of Traumatic Stress, Clinical Journal of the American Society of Nephrology and Journal of General Internal Medicine.
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.