Kelley M. Kidwell

6.3k total citations · 1 hit paper
163 papers, 4.2k citations indexed

About

Kelley M. Kidwell is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, Kelley M. Kidwell has authored 163 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Oncology, 34 papers in Cancer Research and 33 papers in Genetics. Recurrent topics in Kelley M. Kidwell's work include Breast Cancer Treatment Studies (25 papers), Estrogen and related hormone effects (23 papers) and Statistical Methods in Clinical Trials (20 papers). Kelley M. Kidwell is often cited by papers focused on Breast Cancer Treatment Studies (25 papers), Estrogen and related hormone effects (23 papers) and Statistical Methods in Clinical Trials (20 papers). Kelley M. Kidwell collaborates with scholars based in United States, Canada and Taiwan. Kelley M. Kidwell's co-authors include Adeyiza O. Momoh, N. Lynn Henry, Robert H. Bartlett, Daniel F. Hayes, Kevin C. Chung, Gail M. Annich, Matthew M. Davis, Folafoluwa O. Odetola, Matthew L. Paden and Jeffrey H. Kozlow and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Circulation.

In The Last Decade

Kelley M. Kidwell

155 papers receiving 4.1k citations

Hit Papers

Association of Hospital-Level Volume of Extracorporeal Me... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelley M. Kidwell United States 35 1.2k 914 900 746 598 163 4.2k
Geoff P. Delaney Australia 36 1.8k 1.5× 762 0.8× 1.1k 1.3× 1.8k 2.4× 478 0.8× 232 6.2k
Marcela G. del Carmen United States 47 1.4k 1.1× 1.6k 1.7× 447 0.5× 792 1.1× 604 1.0× 221 6.9k
Sjoerd G. Elias Netherlands 43 1.7k 1.4× 677 0.7× 504 0.6× 1.0k 1.4× 617 1.0× 159 4.9k
Russell S. Berman United States 38 2.1k 1.8× 960 1.1× 713 0.8× 735 1.0× 1.7k 2.9× 180 5.8k
Chris Brown Australia 36 1.6k 1.3× 1.0k 1.1× 347 0.4× 1.3k 1.8× 705 1.2× 134 5.1k
Rebecca M. Minter United States 37 1.8k 1.5× 2.7k 2.9× 360 0.4× 899 1.2× 449 0.8× 154 5.9k
Dimitriοs Schizas Greece 32 1.4k 1.1× 1.7k 1.9× 475 0.5× 1.2k 1.5× 929 1.6× 349 4.7k
Myung‐Shin Sim United States 35 1.8k 1.5× 527 0.6× 983 1.1× 815 1.1× 1.3k 2.1× 114 4.3k
Sarkis Meterissian Canada 36 2.5k 2.1× 1.4k 1.5× 1.8k 2.0× 533 0.7× 1.5k 2.6× 167 6.1k
Barbara A. Goff United States 57 2.4k 2.0× 2.6k 2.9× 904 1.0× 1.1k 1.5× 1.4k 2.3× 231 10.2k

Countries citing papers authored by Kelley M. Kidwell

Since Specialization
Citations

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

Fields of papers citing papers by Kelley M. Kidwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelley M. Kidwell. 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 Kelley M. Kidwell. The network helps show where Kelley M. Kidwell may publish in the future.

Co-authorship network of co-authors of Kelley M. Kidwell

This figure shows the co-authorship network connecting the top 25 collaborators of Kelley M. Kidwell. A scholar is included among the top collaborators of Kelley M. Kidwell 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 Kelley M. Kidwell. Kelley M. Kidwell 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
2.
Kidwell, Kelley M., Zeb R. Zacharias, Jon C. D. Houtman, et al.. (2025). Pilot Study of Cannabidiol for Treatment of Aromatase Inhibitor‐Associated Musculoskeletal Symptoms in Breast Cancer. Cancer Medicine. 14(15). e71117–e71117. 2 indexed citations
3.
Tao, Xueting, et al.. (2024). Impact of chemotherapy-induced peripheral neuropathy permanence on patients' preference to discontinue chemotherapy.. Journal of Clinical Oncology. 42(16_suppl). 12046–12046. 1 indexed citations
4.
Kidwell, Kelley M., et al.. (2024). The impact of cannabidiol (CBD) on aromatase inhibitor (AI)-associated musculoskeletal symptoms (AIMSS).. Journal of Clinical Oncology. 42(16_suppl). e24060–e24060. 1 indexed citations
5.
Kidwell, Kelley M., Jennifer J. Griggs, Elena M. Stoffel, et al.. (2023). Effects of cancer type and sex on genetic testing for clinician recommendation and uptake. SHILAP Revista de lepidopterología. 19(12). 23–23. 1 indexed citations
6.
Kidwell, Kelley M., et al.. (2023). Psychosocial factors impacting barriers and motivators to cancer genetic testing. Cancer Medicine. 12(8). 9945–9955. 8 indexed citations
7.
Li, Yajing, et al.. (2023). Ovarian Function Suppression in Premenopausal Women With Concurrent Endocrine Therapy Use. Clinical Breast Cancer. 23(4). 454–460. 6 indexed citations
10.
Brummett, Chad M., et al.. (2022). Association between nociplastic pain and premature endocrine therapy discontinuation in breast cancer patients. Breast Cancer Research and Treatment. 197(2). 397–404. 5 indexed citations
11.
Hertz, Daniel L., Julie A. Douglas, Robert M. Miller, et al.. (2022). Genome-wide association study of aromatase inhibitor discontinuation due to musculoskeletal symptoms. Supportive Care in Cancer. 30(10). 8059–8067. 5 indexed citations
13.
Fang, Fang, et al.. (2021). SLCO1B3 Polymorphisms and Clinical Outcomes in Kidney Transplant Recipients Receiving Mycophenolate. Pharmacogenomics. 22(17). 1111–1120. 2 indexed citations
14.
Hertz, Daniel L., Kelley M. Kidwell, Feng Li, et al.. (2018). Paclitaxel Plasma Concentration after the First Infusion Predicts Treatment-Limiting Peripheral Neuropathy. Clinical Cancer Research. 24(15). 3602–3610. 45 indexed citations
15.
Kidwell, Kelley M., et al.. (2018). Ado-Trastuzumab Emtansine-Induced Pulmonary Toxicity: A Single-Institution Retrospective Review. Case Reports in Oncology. 11(2). 527–533. 10 indexed citations
16.
González, Maria E., Stephanie L. Skala, Mai Tran, et al.. (2018). CCN6 regulates IGF2BP2 and HMGA2 signaling in metaplastic carcinomas of the breast. Breast Cancer Research and Treatment. 172(3). 577–586. 21 indexed citations
17.
Henry, N. Lynn, Kelly Speth, Anneleen Lintermans, et al.. (2017). Associations Between Patient and Anthropometric Characteristics and Aromatase Inhibitor Discontinuation. Clinical Breast Cancer. 17(5). 350–355.e4. 11 indexed citations
18.
Barbaro, Ryan P., Folafoluwa O. Odetola, Kelley M. Kidwell, et al.. (2015). Association of Hospital-Level Volume of Extracorporeal Membrane Oxygenation Cases and Mortality. Analysis of the Extracorporeal Life Support Organization Registry. American Journal of Respiratory and Critical Care Medicine. 191(8). 894–901. 432 indexed citations breakdown →
19.
Paoletti, Costanza, Yufeng Li, Maria C. Muñiz, et al.. (2015). Significance of Circulating Tumor Cells in Metastatic Triple-Negative Breast Cancer Patients within a Randomized, Phase II Trial: TBCRC 019. Clinical Cancer Research. 21(12). 2771–2779. 75 indexed citations
20.
Paoletti, Costanza, Maria C. Muñiz, Dafydd G. Thomas, et al.. (2014). Development of Circulating Tumor Cell-Endocrine Therapy Index in Patients with Hormone Receptor–Positive Breast Cancer. Clinical Cancer Research. 21(11). 2487–2498. 104 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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