Ravi B. Parikh

4.6k total citations · 1 hit paper
160 papers, 2.7k citations indexed

About

Ravi B. Parikh is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Ravi B. Parikh has authored 160 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Oncology, 53 papers in Public Health, Environmental and Occupational Health and 45 papers in Economics and Econometrics. Recurrent topics in Ravi B. Parikh's work include Palliative Care and End-of-Life Issues (44 papers), Economic and Financial Impacts of Cancer (32 papers) and Cancer survivorship and care (26 papers). Ravi B. Parikh is often cited by papers focused on Palliative Care and End-of-Life Issues (44 papers), Economic and Financial Impacts of Cancer (32 papers) and Cancer survivorship and care (26 papers). Ravi B. Parikh collaborates with scholars based in United States, Canada and France. Ravi B. Parikh's co-authors include Amol S. Navathe, Stephanie Teeple, Ziad Obermeyer, Jennifer S. Temel, Lawrence N. Shulman, Rebecca Kirch, Thomas J. Smith, Christopher R. Manz, Lynn M. Schuchter and Mitesh S. Patel and has published in prestigious journals such as Science, New England Journal of Medicine and JAMA.

In The Last Decade

Ravi B. Parikh

141 papers receiving 2.6k citations

Hit Papers

Addressing Bias in Artificial Intelligence in Health Care 2019 2026 2021 2023 2019 100 200 300 400

Peers

Ravi B. Parikh
Jinoos Yazdany United States
Mahiben Maruthappu United Kingdom
Anand Shah United States
Michael J. Hassett United States
Nadeem Qureshi United Kingdom
Ewoud Schuit Netherlands
Alvin Rajkomar United States
Dhruv Khullar United States
Gabriela Schmajuk United States
Jinoos Yazdany United States
Ravi B. Parikh
Citations per year, relative to Ravi B. Parikh Ravi B. Parikh (= 1×) peers Jinoos Yazdany

Countries citing papers authored by Ravi B. Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Ravi B. Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi B. Parikh. 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 Ravi B. Parikh. The network helps show where Ravi B. Parikh may publish in the future.

Co-authorship network of co-authors of Ravi B. Parikh

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi B. Parikh. A scholar is included among the top collaborators of Ravi B. Parikh 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 Ravi B. Parikh. Ravi B. Parikh 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.
Chen, Kan, et al.. (2025). Evaluating generalizability of oncology trial results to real-world patients using machine learning-based trial emulations. Nature Medicine. 31(2). 457–465. 11 indexed citations
2.
Riaz, Fauzia, John L. Vaughn, Hoda E. Sayegh, et al.. (2025). Inpatient Immunotherapy Outcomes Study: A Multicenter Retrospective Analysis. JCO Oncology Practice. 21(8). 1165–1173. 3 indexed citations
3.
Loaiza‐Bonilla, Arturo, Nikhil G. Thaker, Caroline Chung, et al.. (2025). Driving Knowledge to Action: Building a Better Future With Artificial Intelligence–Enabled Multidisciplinary Oncology. American Society of Clinical Oncology Educational Book. 45(3). e100048–e100048. 1 indexed citations
4.
Bozkurt, Selen, Anne M. Walling, Charlotta Lindvall, et al.. (2025). AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation. Journal of Pain and Symptom Management. 70(6). e394–e418. 1 indexed citations
5.
Mullangi, Samyukta, Benjamin Ukert, David Debono, et al.. (2024). Association of Participation in Medicare's Oncology Care Model With Spending, Utilization, and Quality Outcomes Among Commercially Insured and Medicare Advantage Members. Journal of Clinical Oncology. 43(2). 133–142. 1 indexed citations
6.
Sedhom, Ramy, Jinbo Chen, Yang Li, et al.. (2024). Behavioral economic interventions to embed early palliative care in community oncology (BE-EPiC): A pragmatic cluster-randomized trial.. Journal of Clinical Oncology. 42(16_suppl). 12075–12075. 1 indexed citations
7.
Guerraty, Marie, Biniyam G. Demissei, Naomi B. Haas, et al.. (2024). Coronary Microvascular Dysfunction in Men with Prostate Cancer Receiving Androgen-Deprivation Therapy. Clinical Genitourinary Cancer. 22(4). 102107–102107. 1 indexed citations
8.
Manz, Christopher R., Emily Schriver, Jinbo Chen, et al.. (2024). Association of Remote Patient-Reported Outcomes and Step Counts With Hospitalization or Death Among Patients With Advanced Cancer Undergoing Chemotherapy: Secondary Analysis of the PROStep Randomized Trial. Journal of Medical Internet Research. 26. e51059–e51059. 2 indexed citations
9.
Reibel, Jacob B., Lova Sun, Ravi B. Parikh, et al.. (2024). Real-world impact of the platinum chemotherapy shortage on US patients with advanced cancer. JNCI Journal of the National Cancer Institute. 117(6). 1276–1278.
10.
Lin, John K., Emily Getzen, Qi Long, et al.. (2023). Validation of Biomechanical Computed Tomography for Fracture Risk Classification in Metastatic Hormone-sensitive Prostate Cancer. European Urology Oncology. 7(4). 794–803. 5 indexed citations
11.
Kolla, Likhitha, Jinbo Chen, & Ravi B. Parikh. (2023). Time of Clinic Appointment and Serious Illness Communication in Oncology. Cancer Control. 30. 2915588536–2915588536. 1 indexed citations
12.
Parikh, Ravi B., Emily Schriver, Peter Gabriel, et al.. (2023). Remote Patient-Reported Outcomes and Activity Monitoring to Improve Patient-Clinician Communication Regarding Symptoms and Functional Status: A Randomized Controlled Trial. JCO Oncology Practice. 19(12). 1143–1151. 7 indexed citations
13.
Sedhom, Ramy, Lawrence N. Shulman, & Ravi B. Parikh. (2023). Precision Palliative Care as a Pragmatic Solution for a Care Delivery Problem. Journal of Clinical Oncology. 41(16). 2888–2892. 28 indexed citations
14.
Lynch, Julie A., J M Petersen, Lori Hoffman-Hōgg, et al.. (2023). On-Site Nurse-Led Cancer Genetics Program Increases Cancer Genetic Testing Completion in Black Veterans. JCO Oncology Practice. 19(8). 637–644. 6 indexed citations
15.
Agrawal, Surbhi, et al.. (2023). Patient perspectives on treatment and prevention of recurrent urinary tract infections: a focus group study. International Urogynecology Journal. 35(2). 381–389. 3 indexed citations
16.
Parikh, Ravi B., Christopher R. Manz, Maria N. Nelson, et al.. (2022). Oncologist Perceptions of Algorithm-Based Nudges to Prompt Early Serious Illness Communication: A Qualitative Study. Journal of Palliative Medicine. 25(11). 1702–1707. 12 indexed citations
17.
Miyahira, Andrea K., Jessica E. Hawley, Remi Adelaiye‐Ogala, et al.. (2022). Exploring new frontiers in prostate cancer research: Report from the 2022 Coffey−Holden prostate cancer academy meeting. The Prostate. 83(3). 207–226. 2 indexed citations
18.
Gerke, Sara, et al.. (2021). Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation. Milbank Quarterly. 99(3). 629–647. 91 indexed citations
19.
Cotner, Cody E., David Do, Suzanne McGettigan, et al.. (2021). Automated Text-Based Symptom Monitoring With Rapid Clinician Triage for Patients With Cancer and Suspected or Confirmed COVID-19. JCO Clinical Cancer Informatics. 5(5). 1134–1140. 1 indexed citations
20.
Castellanos, Emily, et al.. (2020). Evaluating the Impact of Oncology Care Model Reporting Requirements on Biomarker Testing and Treatment. JCO Oncology Practice. 16(10). e1216–e1221. 5 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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