Kristen Rushton

402 total citations
8 papers, 286 citations indexed

About

Kristen Rushton is a scholar working on Oncology, Molecular Biology and Neurology. According to data from OpenAlex, Kristen Rushton has authored 8 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Kristen Rushton's work include Cancer Genomics and Diagnostics (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Kristen Rushton is often cited by papers focused on Cancer Genomics and Diagnostics (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Kristen Rushton collaborates with scholars based in United States, United Kingdom and Italy. Kristen Rushton's co-authors include Richard Wenstrup, Kirstin M. Roundy, M. Bryan Warf, Darl D. Flake, Steven D. Billings, Anne‐Renee Hartman, Loren E. Clarke, Alexander Gutin, Thaylon Davis and Sancy A. Leachman and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Urology and Clinical Gastroenterology and Hepatology.

In The Last Decade

Kristen Rushton

8 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kristen Rushton United States	6	169	125	87	86	40	8	286
Ji Won Woo South Korea	10	219 1.3×	82 0.7×	58 0.7×	118 1.4×	49 1.2×	18	352
Carmelo Lupo Italy	11	176 1.0×	150 1.2×	137 1.6×	83 1.0×	47 1.2×	25	390
S Hales United Kingdom	5	133 0.8×	74 0.6×	41 0.5×	90 1.0×	14 0.3×	7	265
Laia Perez‐Roca Spain	9	137 0.8×	212 1.7×	197 2.3×	124 1.4×	15 0.4×	11	393
Andrée Rorive Belgium	12	197 1.2×	114 0.9×	107 1.2×	34 0.4×	32 0.8×	49	344
Nicholas Jene Australia	6	238 1.4×	140 1.1×	106 1.2×	77 0.9×	123 3.1×	7	409
Maximilian Gassenmaier Germany	8	190 1.1×	153 1.2×	77 0.9×	58 0.7×	60 1.5×	18	281
Joanna Niemiec Poland	14	243 1.4×	114 0.9×	163 1.9×	134 1.6×	17 0.4×	47	462
F. R. Hirsch United States	9	247 1.5×	220 1.8×	222 2.6×	71 0.8×	18 0.5×	26	449
Christian H. Bergsland Norway	10	153 0.9×	127 1.0×	62 0.7×	65 0.8×	81 2.0×	14	299

Countries citing papers authored by Kristen Rushton

Since Specialization

Citations

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

Fields of papers citing papers by Kristen Rushton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristen Rushton

This figure shows the co-authorship network connecting the top 25 collaborators of Kristen Rushton. A scholar is included among the top collaborators of Kristen Rushton 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 Kristen Rushton. Kristen Rushton 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

Donato, Anthony J., et al.. (2024). Clinical pharmacology and tolerability of REC‐994, a redox‐cycling nitroxide compound, in randomized phase 1 dose‐finding studies. Pharmacology Research & Perspectives. 12(3). e1200–e1200. 6 indexed citations

Ko, Jennifer S., Balwir Matharoo‐Ball, Steven D. Billings, et al.. (2017). Diagnostic Distinction of Malignant Melanoma and Benign Nevi by a Gene Expression Signature and Correlation to Clinical Outcomes. Cancer Epidemiology Biomarkers & Prevention. 26(7). 1107–1113. 50 indexed citations

DiSario, James A., Kelsey Moyes, Krystal Brown, et al.. (2017). Community Practice Implementation of a Self-administered Version of PREMM1,2,6 to Assess Risk for Lynch Syndrome. Clinical Gastroenterology and Hepatology. 16(1). 49–58. 21 indexed citations

Clarke, Loren E., M. Bryan Warf, Darl D. Flake, et al.. (2015). Clinical validation of a gene expression signature that differentiates benign nevi from malignant melanoma. Journal of Cutaneous Pathology. 42(4). 244–252. 108 indexed citations

Shore, Neal D., Brian J. Moran, Judd Boczko, et al.. (2015). Impact of the Cell Cycle Progression Test on Physician and Patient Treatment Selection for Localized Prostate Cancer. The Journal of Urology. 195(3). 612–618. 55 indexed citations

Bueno, Raphael, Elisha Hughes, Susanne Wagner, et al.. (2014). Validation of a Molecular and Pathological Model for Five-Year Mortality Risk in Patients with Early Stage Lung Adenocarcinoma. Journal of Thoracic Oncology. 10(1). 67–73. 39 indexed citations

Clarke, Loren E., M. Bryan Warf, Darl D. Flake, et al.. (2014). Development and validation of a gene expression signature to distinguish malignant melanoma from benign nevi.. Journal of Clinical Oncology. 32(15_suppl). 9021–9021. 4 indexed citations

Rushton, Kristen. (1964). Otosclerosis Associated with Disease of the Hæmopoietic System. The Journal of Laryngology & Otology. 78(6). 612–619. 3 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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