Basit Chaudhry

3.4k total citations · 1 hit paper
17 papers, 2.4k citations indexed

About

Basit Chaudhry is a scholar working on Economics and Econometrics, Molecular Biology and General Health Professions. According to data from OpenAlex, Basit Chaudhry has authored 17 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 3 papers in Molecular Biology and 3 papers in General Health Professions. Recurrent topics in Basit Chaudhry's work include Economic and Financial Impacts of Cancer (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Biomedical Text Mining and Ontologies (3 papers). Basit Chaudhry is often cited by papers focused on Economic and Financial Impacts of Cancer (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Biomedical Text Mining and Ontologies (3 papers). Basit Chaudhry collaborates with scholars based in United States. Basit Chaudhry's co-authors include Walter Mojica, Elizabeth Röth, Sally C. Morton, Paul G Shekelle, Shinyi Wu, Margaret Maglione, Karen A. Friedman, Suzanne R. Sunday, Alice Fornari and Saima Chaudhry and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Internal Medicine and Cancer Research.

In The Last Decade

Basit Chaudhry

15 papers receiving 2.3k citations

Hit Papers

Systematic Review: Impact of Health Information Technolog... 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Basit Chaudhry United States 6 1.6k 757 542 427 260 17 2.4k
Nancy M. Lorenzi United States 23 1.3k 0.8× 702 0.9× 518 1.0× 491 1.1× 335 1.3× 90 2.6k
Anne Kittler United States 12 1.3k 0.8× 624 0.8× 524 1.0× 457 1.1× 280 1.1× 15 2.2k
Heather McDonald Canada 13 1.3k 0.8× 904 1.2× 338 0.6× 522 1.2× 330 1.3× 37 3.5k
Paul Gorman United States 29 1.3k 0.9× 1.1k 1.5× 523 1.0× 637 1.5× 373 1.4× 78 3.3k
Elizabeth M. Borycki Canada 29 1.4k 0.9× 1.4k 1.8× 290 0.5× 653 1.5× 157 0.6× 278 3.6k
Peter J. Embí United States 29 973 0.6× 642 0.8× 221 0.4× 708 1.7× 329 1.3× 103 2.8k
Kensaku Kawamoto United States 27 1.8k 1.1× 971 1.3× 362 0.7× 792 1.9× 643 2.5× 165 4.4k
Anthony G. Bower United States 13 910 0.6× 397 0.5× 358 0.7× 212 0.5× 165 0.6× 21 1.8k
Justina Sam Canada 9 1.3k 0.8× 606 0.8× 311 0.6× 434 1.0× 334 1.3× 13 2.9k
Thomas H. Payne United States 24 1.2k 0.8× 686 0.9× 369 0.7× 422 1.0× 321 1.2× 86 2.6k

Countries citing papers authored by Basit Chaudhry

Since Specialization
Citations

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

Fields of papers citing papers by Basit Chaudhry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Basit Chaudhry. 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 Basit Chaudhry. The network helps show where Basit Chaudhry may publish in the future.

Co-authorship network of co-authors of Basit Chaudhry

This figure shows the co-authorship network connecting the top 25 collaborators of Basit Chaudhry. A scholar is included among the top collaborators of Basit Chaudhry 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 Basit Chaudhry. Basit Chaudhry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Yang, Jingyan, Basit Chaudhry, Andrew Yue, et al.. (2023). The Impact of Biosimilar Use on Total Cost of Care and Provider Financial Performance in the Medicare Oncology Care Model: A Population-Based Simulation Study. Advances in Therapy. 41(1). 349–363. 1 indexed citations
2.
Yang, Jingyan, Basit Chaudhry, Andrew Yue, et al.. (2022). Projected impact of oncology biosimilar substitution from the perspective of provider risk in value-based oncology payment models.. Journal of Clinical Oncology. 40(16_suppl). e18836–e18836. 1 indexed citations
3.
Arrowsmith, Edward, L. Johnetta Blakely, Davey B. Daniel, et al.. (2021). Impact of clinical trial enrollment on episode costs in the Oncology Care Model (OCM).. Journal of Clinical Oncology. 39(15_suppl). 6513–6513.
4.
Chaudhry, Basit, Lucio Gordan, Andrew Yue, Lisa Tran, & Nora Connor. (2021). Evaluating differential cost growth across individual cancers: Insights from Oncology Care Model data.. Journal of Clinical Oncology. 39(15_suppl). e18853–e18853. 1 indexed citations
5.
Chaudhry, Basit, Andrew Yue, Shuchita Kaila, et al.. (2021). Impact of cancer- and patient-level factors on provider risk in the Oncology Care Model.. Journal of Clinical Oncology. 39(15_suppl). e18852–e18852. 2 indexed citations
6.
Sweetenham, John, et al.. (2021). The use of quasi-experimental design methods to evaluate and improve the impact of acute care centers on oncologic emergencies.. Journal of Clinical Oncology. 39(15_suppl). e13515–e13515.
7.
Chaudhry, Basit, L. Baer, Andrzej P. Kudelka, Joshua D. Cohen, & A. Stopeck. (2019). Abstract P1-11-22: Aromatase inhibitors are significantly better tolerated by early stage breast cancer patients 75 or older and with significantly lower early discontinuation rate. Cancer Research. 79(4_Supplement). P1–11. 1 indexed citations
8.
Schleicher, Stephen M., et al.. (2019). The effect of guideline-concordant novel therapy use on meeting cost targets in OCM: Results from a large community oncology network.. Journal of Clinical Oncology. 37(15_suppl). 6635–6635. 4 indexed citations
9.
Adelson, Kerin B., et al.. (2019). Effects of rising drug costs on efforts to control overall cost at a large academic cancer center.. Journal of Clinical Oncology. 37(27_suppl). 2–2. 20 indexed citations
10.
Adelson, Kerin B., et al.. (2016). Preparing for Value-Based Payment: A Stepwise Approach for Cancer Centers. Journal of Oncology Practice. 12(10). e924–e932. 9 indexed citations
11.
Adelson, Kerin B., et al.. (2016). Understanding total cost of cancer care to determine strategic interventions to improve value.. Journal of Clinical Oncology. 34(7_suppl). 4–4. 4 indexed citations
12.
Chaudhry, Saima, et al.. (2013). Moving Forward in GME Reform: A 4 + 1 Model of Resident Ambulatory Training. Journal of General Internal Medicine. 28(8). 1100–1104. 40 indexed citations
13.
Keane, Terence M., et al.. (2013). Caring for Returning Veterans: Meeting Mental Health Needs. The Journal of Clinical Psychiatry. 74(1). 22–28. 1 indexed citations
14.
Hillestad, Richard, James H. Bigelow, Basit Chaudhry, et al.. (2008). Identity Crisis: An Examination of the Costs and Benefits of a Unique Patient Identifier for the U.S. Health Care System. RAND Corporation eBooks. 26 indexed citations
15.
Hillestad, Richard, James H. Bigelow, Basit Chaudhry, et al.. (2008). Identity Crisis? Approaches to Patient Identification in a National Health Information Network. RAND Corporation eBooks. 1 indexed citations
16.
Chaudhry, Basit. (2007). Computerized Clinical Decision Support: Will it Transform Healthcare?. Journal of General Internal Medicine. 23(S1). 85–87. 17 indexed citations
17.
Chaudhry, Basit, Shinyi Wu, Margaret Maglione, et al.. (2006). Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care. Annals of Internal Medicine. 144(10). 742–752. 2270 indexed citations breakdown →

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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