Rachel Ceccarelli

501 total citations
8 papers, 222 citations indexed

About

Rachel Ceccarelli is a scholar working on Pharmacology, Economics and Econometrics and Cancer Research. According to data from OpenAlex, Rachel Ceccarelli has authored 8 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pharmacology, 3 papers in Economics and Econometrics and 3 papers in Cancer Research. Recurrent topics in Rachel Ceccarelli's work include Cancer Genomics and Diagnostics (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and BRCA gene mutations in cancer (2 papers). Rachel Ceccarelli is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and BRCA gene mutations in cancer (2 papers). Rachel Ceccarelli collaborates with scholars based in United States. Rachel Ceccarelli's co-authors include Christine Y. Lu, Rachael Bonawitz, Donald M. Thea, Matthew P. Fox, Lindsey Garrison, Alana T. Brennan, Christopher Gill, Mary B. Kleinman, Lawrence Long and Ann Chen Wu and has published in prestigious journals such as Journal of General Internal Medicine, AIDS and Journal of Personalized Medicine.

In The Last Decade

Rachel Ceccarelli

8 papers receiving 215 citations

Peers

Rachel Ceccarelli

ID

PPCH

EPIDE

PHARM

GENET

Nardin Rezk United States

Ilomo Hwaihwanje Papua New Guinea

JE Ahaneku Nigeria

Anela Kellogg United States

S B Hulley United States

Luís Varandas Portugal

Diana F. Clarke United States

Pattara Sanchaisuriya Thailand

Habtamu B. Beyene Australia

Ryan Marino United States

Nardin Rezk United States

Rachel Ceccarelli

127 ×1.8

ID

17 ×0.4

PPCH

23 ×0.6

EPIDE

22 ×0.6

PHARM

14 ×0.4

GENET

Citations per year, relative to Rachel Ceccarelli Rachel Ceccarelli (= 1×) peers Nardin Rezk

Countries citing papers authored by Rachel Ceccarelli

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Ceccarelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Ceccarelli

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

All Works

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8 of 8 papers shown

1.

Ceccarelli, Rachel, et al.. (2021). Pharmacogenomic Biomarkers in US FDA-Approved Drug Labels (2000–2020). Journal of Personalized Medicine. 11(3). 179–179. 46 indexed citations

2.

Lu, Christine Y., Rachel Ceccarelli, Kathleen M. Mazor, et al.. (2018). Insurance Coverage Policies for Pharmacogenomic and Multi-Gene Testing for Cancer. Journal of Personalized Medicine. 8(2). 19–19. 34 indexed citations

3.

Wu, Ann Chen, et al.. (2018). The Implementation Process for Pharmacogenomic Testing for Cancer-Targeted Therapies. Journal of Personalized Medicine. 8(4). 32–32. 4 indexed citations

4.

Wu, Ann Chen, et al.. (2017). Access to Guideline-Recommended Pharmacogenomic Tests for Cancer Treatments: Experience of Providers and Patients. Journal of Personalized Medicine. 7(4). 17–17. 7 indexed citations

5.

Lu, Christine Y., et al.. (2017). Payer Decision-Making for Pharmacogenetic Tests: Preliminary Results. Journal of patient-centered research and reviews. 4(3). 170–171. 1 indexed citations

6.

Soumerai, Stephen B., Rachel Ceccarelli, & Ross Koppel. (2016). False Dichotomies and Health Policy Research Designs: Randomized Trials Are Not Always the Answer. Journal of General Internal Medicine. 32(2). 204–209. 18 indexed citations

7.

Brennan, Alana T., Rachael Bonawitz, Christopher Gill, et al.. (2016). A meta-analysis assessing all-cause mortality in HIV-exposed uninfected compared with HIV-unexposed uninfected infants and children. AIDS. 30(15). 2351–2360. 111 indexed citations

8.

Lu, Christine Y., et al.. (2016). Insurance Coverage Policies for Guideline-Recommended Genetic Testing for Targeted Cancer Therapies: Preliminary Results. Journal of patient-centered research and reviews. 3(3). 193–194. 1 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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