Katelyn M. Atkins

2.0k total citations
78 papers, 1.3k citations indexed

About

Katelyn M. Atkins is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Katelyn M. Atkins has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pulmonary and Respiratory Medicine, 25 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Oncology. Recurrent topics in Katelyn M. Atkins's work include Lung Cancer Diagnosis and Treatment (16 papers), Chemotherapy-induced cardiotoxicity and mitigation (16 papers) and Cardiac Imaging and Diagnostics (11 papers). Katelyn M. Atkins is often cited by papers focused on Lung Cancer Diagnosis and Treatment (16 papers), Chemotherapy-induced cardiotoxicity and mitigation (16 papers) and Cardiac Imaging and Diagnostics (11 papers). Katelyn M. Atkins collaborates with scholars based in United States, Canada and United Kingdom. Katelyn M. Atkins's co-authors include Raymond H. Mak, Gary Thomas, Danielle S. Bitterman, David Kozono, Laurel Thomas, Anju Nohria, Udo Hoffmann, Hugo J.W.L. Aerts, Tafadzwa L. Chaunzwa and Christopher L. Williams and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Katelyn M. Atkins

66 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katelyn M. Atkins United States	19	380	347	257	207	198	78	1.3k
Johan Harmenberg Sweden	24	325 0.9×	301 0.9×	27 0.1×	472 2.3×	502 2.5×	81	1.9k
Robert Debernardo United States	17	153 0.4×	76 0.2×	24 0.1×	212 1.0×	228 1.2×	39	1.2k
Daphne M. Glass United Kingdom	13	110 0.3×	205 0.6×	30 0.1×	522 2.5×	203 1.0×	30	1.3k
Joseph S. Friedberg United States	33	2.5k 6.6×	440 1.3×	83 0.3×	403 1.9×	415 2.1×	135	3.5k
Peter Barry United Kingdom	18	255 0.7×	116 0.3×	117 0.5×	320 1.5×	242 1.2×	59	1.1k
Mary Dunne Ireland	17	285 0.8×	141 0.4×	14 0.1×	117 0.6×	149 0.8×	64	902
Caroline Hoffmann France	19	405 1.1×	40 0.1×	69 0.3×	164 0.8×	229 1.2×	66	1.2k
Hong Ye United States	23	1.2k 3.1×	173 0.5×	13 0.1×	227 1.1×	186 0.9×	77	1.9k
H. James Wallace United States	19	169 0.4×	102 0.3×	38 0.1×	313 1.5×	190 1.0×	63	1.5k
Chi Lin United States	26	728 1.9×	327 0.9×	62 0.2×	851 4.1×	310 1.6×	144	2.1k

Countries citing papers authored by Katelyn M. Atkins

Since Specialization

Citations

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

Fields of papers citing papers by Katelyn M. Atkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katelyn M. Atkins

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

All Works

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20 of 20 papers shown

Pendergast, Felicity J., Wenjuan Zhang, Eric Vail, et al.. (2025). Early cardio-oncology intervention in thoracic radiotherapy: prospective single-arm pilot study. Communications Medicine. 5(1). 43–43.

Atkins, Katelyn M., Christian V. Guthier, David Kozono, et al.. (2024). Cardiac Substructure Radiation Dose and Associations With Tachyarrhythmia and Bradyarrhythmia After Lung Cancer Radiotherapy. JACC CardioOncology. 6(4). 544–556. 7 indexed citations

Leong, Darryl P., Sarah Waliany, Husam Abdel‐Qadir, et al.. (2024). Cardiovascular Considerations During Cancer Therapy. JACC CardioOncology. 6(6). 815–834. 7 indexed citations

Dykstra, Michael, Smith Apisarnthanarax, George A. Poultsides, et al.. (2024). Local Therapy for Metastatic Colorectal Cancer. The Cancer Journal. 30(4). 280–289.

Atkins, Katelyn M., et al.. (2024). Incidence of Pulmonary Hypertension and Association with Pulmonary Artery Radiation Dose in Lung Cancer Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 120(2). S86–S86.

Kamrava, Mitchell, Edwin M. Posadas, Stephen J. Freedland, et al.. (2024). A practical guide for assessing and managing cardiovascular risk during androgen‐deprivation therapy in patients with prostate cancer. Cancer. 130(11). 1916–1929.

Nguyen, Anthony T., et al.. (2023). Feasibility and Acceptability of ChatGPT Generated Radiology Report Summaries for Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 117(2). e463–e463. 5 indexed citations

Burnison, M., Julie K. Jang, Stephen L. Shiao, et al.. (2023). Association of Left Anterior Descending Coronary Artery Calcium Progression and Radiation Dose with Major Adverse Cardiac Events in Breast Cancer. International Journal of Radiation Oncology*Biology*Physics. 117(2). e175–e175.

Upadhaya, Taman, et al.. (2023). Application of CT-based foundational artificial intelligence and radiomics models for prediction of survival for lung cancer patients treated on the NRG/RTOG 0617 clinical trial. BJR|Open. 6(1). tzae038–tzae038.

10.

Kim, Sungjin, Nina N. Sanford, Ann C. Raldow, et al.. (2023). Association of Parental Status and Gender With Burden of Multidisciplinary Tumor Boards Among Oncology Physicians. JAMA Network Open. 6(10). e2340663–e2340663. 4 indexed citations

11.

Amersi, Farin, Andrew Hendifar, Alexandra Gangi, et al.. (2023). POLE-Mutant Colon Cancer Treated with PD-1 Blockade Showing Clearance of Circulating Tumor DNA and Prolonged Disease-Free Interval. Genes. 14(5). 1054–1054. 5 indexed citations

12.

Walls, Gerard, Conor McCann, Peter Ball, et al.. (2023). A pulmonary vein atlas for radiotherapy planning. Radiotherapy and Oncology. 184. 109680–109680. 9 indexed citations

13.

Nguyen, Anthony T., Michael Luu, Vina P. Nguyen, et al.. (2022). Quantitative Nodal Burden and Mortality Across Solid Cancers. JNCI Journal of the National Cancer Institute. 114(7). 1003–1011. 5 indexed citations

14.

Atkins, Katelyn M., et al.. (2022). Emerging Role of Brachytherapy in the Non-operative Management of Rectal Cancer. Current Colorectal Cancer Reports. 18(6). 68–74.

15.

Gong, Jun, Andrew Hendifar, Alexandra Gangi, et al.. (2021). Clinical Applications of Minimal Residual Disease Assessments by Tumor-Informed and Tumor-Uninformed Circulating Tumor DNA in Colorectal Cancer. Cancers. 13(18). 4547–4547. 19 indexed citations

16.

Lu, Diana J., Katelyn M. Atkins, William Small, & Mitchell Kamrava. (2021). Evaluation of sociodemographic and baseline patient characteristic differences in cervical cancer patients treated with either external beam or brachytherapy boost. Brachytherapy. 21(1). 22–28. 2 indexed citations

17.

Lu, Diana J., et al.. (2020). Using Natural Language Processing to Identify Patients with Immune Checkpoint Inhibitor-Associated Myocarditis. International Journal of Radiation Oncology*Biology*Physics. 108(3). e770–e771. 2 indexed citations

18.

Kim, Sungjin, Timothy P. DiPeri, Michelle Guan, et al.. (2020). Impact of palliative therapies in metastatic esophageal cancer patients not receiving chemotherapy. World Journal of Gastrointestinal Surgery. 12(9). 377–389. 6 indexed citations

19.

Atkins, Katelyn M., Roman Zeleznik, Tafadzwa L. Chaunzwa, et al.. (2019). Elevated Coronary Artery Calcium Quantified by a Deep Learning Model from Radiotherapy Planning Scans Predicts Mortality in Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 105(1). S72–S72.

20.

Siddiqui, Faisal, Katelyn M. Atkins, Brian S. Diggs, et al.. (2014). Overall survival analysis of neoadjuvant chemoradiotherapy and esophagectomy for esophageal cancer.. Europe PMC (PubMed Central). 10 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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