John Shanahan

460 total citations
37 papers, 301 citations indexed

About

John Shanahan is a scholar working on Oncology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, John Shanahan has authored 37 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 8 papers in Cardiology and Cardiovascular Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in John Shanahan's work include Pancreatic and Hepatic Oncology Research (8 papers), Cardiovascular Health and Risk Factors (6 papers) and Medical Imaging Techniques and Applications (3 papers). John Shanahan is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Cardiovascular Health and Risk Factors (6 papers) and Medical Imaging Techniques and Applications (3 papers). John Shanahan collaborates with scholars based in United States, Brazil and India. John Shanahan's co-authors include Alberto J. Montero, Nickolas Stabellini, Jill S. Barnholtz‐Sloan, Kristin Waite, Jennifer Cullen, Nelson Hamerschlak, Lifen Cao, Luke D. Rothermel, Jonathan J. Hue and Jordan M. Winter and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Journal of the American College of Cardiology.

In The Last Decade

John Shanahan

31 papers receiving 268 citations

Peers

John Shanahan
Yinghong Zhai China
Leslie E. Carroll United States
Sharon Peacock Hinton United States
Sandrine Kerbrat France
Kirsti Vik Hjerkind Norway
Ronald C. Eldridge United States
Helen Blumen United States
John Lyons United States
Jack Sariego United States
Jenna Khan United States
Yinghong Zhai China
John Shanahan
Citations per year, relative to John Shanahan John Shanahan (= 1×) peers Yinghong Zhai

Countries citing papers authored by John Shanahan

Since Specialization
Citations

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

Fields of papers citing papers by John Shanahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Shanahan

This figure shows the co-authorship network connecting the top 25 collaborators of John Shanahan. A scholar is included among the top collaborators of John Shanahan 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 John Shanahan. John Shanahan 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
1.
Stabellini, Nickolas, Omar Mohamed Makram, Hisham Daoud, et al.. (2025). A novel machine learning-based cancer-specific cardiovascular disease risk score among patients with breast, colorectal, or lung cancer. JNCI Cancer Spectrum. 9(1). 2 indexed citations
2.
Stabellini, Nickolas, Jennifer Cullen, Márcio Sommer Bittencourt, et al.. (2024). Allostatic Load/Chronic Stress and Cardiovascular Outcomes in Patients Diagnosed With Breast, Lung, or Colorectal Cancer. Journal of the American Heart Association. 13(14). e033295–e033295. 12 indexed citations
3.
Guha, Avirup, John Shanahan, Alberto J. Montero, et al.. (2024). ASCVD risk scores versus a novel cancer-specific Machine Learning-based calculator among patients with breast, colorectal, lung or prostate cancer. European Heart Journal. 45(Supplement_1). 2 indexed citations
4.
Elshami, Mohamedraed, Jonathan J. Hue, John Shanahan, et al.. (2024). To Revise or Not Revise? Isolated Margin Positivity in Localized Pancreatic Ductal Adenocarcinoma. Annals of Surgical Oncology. 31(9). 6170–6179.
5.
Stabellini, Nickolas, Jennifer Cullen, Neal L. Weintraub, et al.. (2024). Abstract 4133654: External Validation of the Guha-Stabellini CVD Prostate Cancer-Specific Calculator in Short-Term Follow-Up. Circulation. 150(Suppl_1).
6.
Stabellini, Nickolas, Jennifer Cullen, Justin X. Moore, et al.. (2023). Social Determinants of Health Data Improve the Prediction of Cardiac Outcomes in Females with Breast Cancer. Cancers. 15(18). 4630–4630. 12 indexed citations
7.
Stabellini, Nickolas, Jennifer Cullen, Márcio Sommer Bittencourt, et al.. (2023). Allostatic load and cardiovascular outcomes in males with prostate cancer. JNCI Cancer Spectrum. 7(2). 19 indexed citations
8.
Stabellini, Nickolas, Jennifer Cullen, Márcio Sommer Bittencourt, et al.. (2023). Abstract 14540: Allostatic Load/Chronic Toxic Stress and Cardiovascular Outcomes in Breast, Lung and Colon Cancer Patients. Circulation. 148(Suppl_1). 1 indexed citations
9.
Stabellini, Nickolas, Aziz Nazha, M. Hühn, et al.. (2023). Thirty-Day Unplanned Hospital Readmissions in Patients With Cancer and the Impact of Social Determinants of Health: A Machine Learning Approach. JCO Clinical Cancer Informatics. 7(7). e2200143–e2200143. 9 indexed citations
10.
Zhang, Annie L., Shufen Cao, John Shanahan, et al.. (2023). Survival in elderly patients with breast cancer with and without autoimmune disease. Cancer Medicine. 12(12). 13086–13099. 9 indexed citations
11.
Stabellini, Nickolas, Jennifer Cullen, Lifen Cao, et al.. (2023). Racial disparities in breast cancer treatment patterns and treatment related adverse events. Scientific Reports. 13(1). 1233–1233. 23 indexed citations
12.
Stabellini, Nickolas, Jennifer Cullen, Justin X. Moore, et al.. (2022). Abstract 10355: Allostatic Load and Cardiovascular Outcomes in Males With Prostate Cancer. Circulation. 146(Suppl_1). 1 indexed citations
13.
Hue, Jonathan J., Lee M. Ocuin, John Shanahan, et al.. (2022). Weight Tracking as a Novel Prognostic Marker After Pancreatectomy. Annals of Surgical Oncology. 29(6). 3450–3459. 5 indexed citations
14.
Cao, Shufen, John Shanahan, Melissa C. Keinath, et al.. (2022). Comparing Survival in Patients With Lung Cancer With and Without a History of Common Autoimmune Disease. JTO Clinical and Research Reports. 3(9). 100375–100375. 4 indexed citations
15.
Nakayama, John, Gino Cioffi, Kristin Waite, et al.. (2021). The Negative Impact of the COVID-19 Pandemic on Oncology Care at an Academic Cancer Referral Center. PubMed. 35(3508). 462–470. 5 indexed citations
16.
Hue, Jonathan J., John Shanahan, Lee M. Ocuin, et al.. (2021). Weight Loss as an Untapped Early Detection Marker in Pancreatic and Periampullary Cancer. Annals of Surgical Oncology. 28(11). 6283–6292. 28 indexed citations
17.
Hue, Jonathan J., Sarah C. Markt, John Shanahan, et al.. (2021). Weight loss during neoadjuvant therapy for pancreatic cancer does not predict poor outcomes. The American Journal of Surgery. 223(5). 927–932. 5 indexed citations
18.
Griffin, Emma, Ross Hayden, Meghan E. Murphy, et al.. (2019). A quantitative analysis of CT angiography, large vessel occlusion, and thrombectomy rates in acute ischaemic stroke. Clinical Radiology. 74(9). 731.e21–731.e25. 5 indexed citations
19.
Kunos, Charles A., John Shanahan, C. Collen, et al.. (2015). Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy. Journal of Visualized Experiments. e52875–e52875. 8 indexed citations
20.
Merhige, Michael E., et al.. (1998). PET myocardial perfusion imaging cuts the cost of coronary disease management by eliminating unnecessary invasive diagnostic and therapeutic procedures. Journal of the American College of Cardiology. 31. 485–485. 2 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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