Jonathan G. Yabes

3.4k total citations
147 papers, 1.9k citations indexed

About

Jonathan G. Yabes is a scholar working on Surgery, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan G. Yabes has authored 147 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 25 papers in Epidemiology and 24 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan G. Yabes's work include Bladder and Urothelial Cancer Treatments (16 papers), Dialysis and Renal Disease Management (14 papers) and Prostate Cancer Diagnosis and Treatment (11 papers). Jonathan G. Yabes is often cited by papers focused on Bladder and Urothelial Cancer Treatments (16 papers), Dialysis and Renal Disease Management (14 papers) and Prostate Cancer Diagnosis and Treatment (11 papers). Jonathan G. Yabes collaborates with scholars based in United States, Taiwan and United Kingdom. Jonathan G. Yabes's co-authors include Mark L. Unruh, Manisha Jhamb, Margaret V. Ragni, Jennifer L. Steel, Jeremy M. Kahn, Bruce L. Jacobs, Diane Comer, Khaled Abdel-Kader, Billie S. Davis and Derek C. Angus and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Oncology.

In The Last Decade

Jonathan G. Yabes

134 papers receiving 1.9k citations

Peers

Jonathan G. Yabes
Gordon Flowerdew Canada
Mahesh Fuldeore United States
Christie M. Bartels United States
Denise Globe United States
Derek Kyte United Kingdom
Rhonda L. Bohn United States
Bruce Shadbolt Australia
Antoine Poncet Switzerland
Lars Johansson Sweden
Michele Sacco Italy
Gordon Flowerdew Canada
Jonathan G. Yabes
Citations per year, relative to Jonathan G. Yabes Jonathan G. Yabes (= 1×) peers Gordon Flowerdew

Countries citing papers authored by Jonathan G. Yabes

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan G. Yabes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan G. Yabes. 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 Jonathan G. Yabes. The network helps show where Jonathan G. Yabes may publish in the future.

Co-authorship network of co-authors of Jonathan G. Yabes

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan G. Yabes. A scholar is included among the top collaborators of Jonathan G. Yabes 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 Jonathan G. Yabes. Jonathan G. Yabes 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.
Yabes, Jonathan G., et al.. (2025). Using Ecological Momentary Assessment to Redefine Postdialysis Fatigue in Patients with Kidney Failure. Journal of the American Society of Nephrology. 36(8). 1603–1613.
2.
3.
Nolin, Thomas D., et al.. (2025). Using Machine Learning to Predict Medication Therapy Problems among Patients with Chronic Kidney Disease. American Journal of Nephrology. 57(1). 120–130. 1 indexed citations
4.
Zigler, Christina K., et al.. (2024). Interferon-Gamma-Inducible Protein-10 (IP-10) and Tumor Necrosis Factor-α (TNF-α) as Serological Predictors of Active Disease Status in Localized Scleroderma. International Journal of Molecular Sciences. 25(18). 10134–10134. 1 indexed citations
5.
Lin, Jonathan Y., David T. Miller, Zhaojun Sun, et al.. (2024). Factors influencing readmission patterns following radical cystectomy: An analysis of social determinants and discharge outcomes. Urologic Oncology Seminars and Original Investigations. 42(12). 449.e13–449.e19.
6.
Rollman, Bruce L., et al.. (2024). Population Health Management and Guideline-Concordant Care in CKD. Journal of the American Society of Nephrology. 36(5). 869–881. 4 indexed citations
7.
Jhamb, Manisha, Jennifer L. Steel, Jonathan G. Yabes, et al.. (2023). Effects of Technology Assisted Stepped Collaborative Care Intervention to Improve Symptoms in Patients Undergoing Hemodialysis. JAMA Internal Medicine. 183(8). 795–795. 14 indexed citations
8.
Yabes, Jonathan G., et al.. (2023). Intensivist physician-to-patient ratios and mortality in the intensive care unit. Intensive Care Medicine. 49(5). 545–553. 8 indexed citations
9.
10.
Gul, Zeynep, et al.. (2023). Large Variations in the Prices of Urologic Procedures at Academic Medical Centers 1 Year After Implementation of the Price Transparency Final Rule. JAMA Network Open. 6(1). e2249581–e2249581. 12 indexed citations
11.
Chiang, Jung-Hsien, Ping‐Fang Chiu, Khaled Abdel-Kader, et al.. (2022). Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit. Journal of Clinical Medicine. 11(18). 5289–5289. 13 indexed citations
12.
Moore, Paul A., et al.. (2022). Initial opioid prescribing and subsequent opioid use after dental procedures among opioid-naive patients in Pennsylvania Medicaid, 2012 through 2017. The Journal of the American Dental Association. 153(6). 511–520.e13. 2 indexed citations
13.
Yabes, Jonathan G., et al.. (2021). Prevalence and Demographic Correlates of Pain, Depression, Fatigue, and Readiness to Seek Treatment for These Symptoms in Hemodialysis Patients. Journal of the American Society of Nephrology. 32(10S). 289–289. 1 indexed citations
14.
Ernecoff, Natalie C., et al.. (2020). Implementation of Surprise Question Assessments Using the Electronic Health Record in Older Adults with Advanced CKD. Journal of the American Society of Nephrology. 31(10S). 224–224. 1 indexed citations
15.
Jacobs, Bruce L., Devin Rogers, Jonathan G. Yabes, et al.. (2020). Large reduction in opioid prescribing by a multipronged behavioral intervention after major urologic surgery. Cancer. 127(2). 257–265. 20 indexed citations
16.
Macleod, Liam C., Jonathan G. Yabes, Mina Fam, et al.. (2019). Multiparametric Magnetic Resonance Imaging Is Associated with Increased Medicare Spending in Prostate Cancer Active Surveillance. European Urology Focus. 6(2). 242–248. 4 indexed citations
17.
Pilewski, Joseph M., Elisabeth P. Dellon, Laura Moreines, et al.. (2019). Symptom Burden and Unmet Existential Needs in Adults With Cystic Fibrosis. Western Journal of Nursing Research. 41(10). 1448–1464. 15 indexed citations
18.
Pilewski, Joseph M., Elisabeth P. Dellon, Kwonho Jeong, et al.. (2019). Prevalence of unmet palliative care needs in adults with cystic fibrosis. Journal of Cystic Fibrosis. 19(3). 394–401. 17 indexed citations
19.
Ragni, Margaret V., et al.. (2017). Inflammatory Bowel Disease and Thrombosis: A National Inpatient Sample (NIS) Study. Blood. 130. 3372–3372. 3 indexed citations
20.
Huang, David T., Derek C. Angus, Chung‐Chou H. Chang, et al.. (2017). Design and rationale of the Procalcitonin Antibiotic Consensus Trial (ProACT), a multicenter randomized trial of procalcitonin antibiotic guidance in lower respiratory tract infection. BMC Emergency Medicine. 17(1). 25–25. 6 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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