Michael R. Bowers

2.3k total citations
57 papers, 1.7k citations indexed

About

Michael R. Bowers is a scholar working on Organizational Behavior and Human Resource Management, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael R. Bowers has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Organizational Behavior and Human Resource Management, 13 papers in Otorhinolaryngology and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael R. Bowers's work include Customer Service Quality and Loyalty (13 papers), Head and Neck Cancer Studies (13 papers) and Advanced Radiotherapy Techniques (10 papers). Michael R. Bowers is often cited by papers focused on Customer Service Quality and Loyalty (13 papers), Head and Neck Cancer Studies (13 papers) and Advanced Radiotherapy Techniques (10 papers). Michael R. Bowers collaborates with scholars based in United States, Australia and Japan. Michael R. Bowers's co-authors include John E. Swan, W. F. Koehler, Lynne D. Richardson, Charles L. Martin, Mary Ann Hocutt, D. Todd Donavan, Catarina I. Kiefe, Todd McNutt, Stephen O’Connor and Harry Quon and has published in prestigious journals such as Scientific Reports, Journal of Business Research and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Michael R. Bowers

52 papers receiving 1.5k citations

Peers

Michael R. Bowers
Yong Lü China
Yuan Jiang China
Hardeep Chahal India
G. Shainesh India
Seewon Ryu South Korea
Stowe Shoemaker United States
David Brock Israel
Joseph C. Santora Australia
Lise Lamothe Canada
Na Fu Ireland
Yong Lü China
Michael R. Bowers
Citations per year, relative to Michael R. Bowers Michael R. Bowers (= 1×) peers Yong Lü

Countries citing papers authored by Michael R. Bowers

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Bowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Bowers. 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 Michael R. Bowers. The network helps show where Michael R. Bowers may publish in the future.

Co-authorship network of co-authors of Michael R. Bowers

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Bowers. A scholar is included among the top collaborators of Michael R. Bowers 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 Michael R. Bowers. Michael R. Bowers 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.
Han, Peijin, Sang Ho Lee, John Haller, et al.. (2021). Improving Early Identification of Significant Weight Loss Using Clinical Decision Support System in Lung Cancer Radiation Therapy. JCO Clinical Cancer Informatics. 5(5). 944–952. 6 indexed citations
2.
Hazell, Sarah Z., Wei Fu, Peijin Han, et al.. (2020). Consolidative Radiotherapy in Oligometastatic Lung Cancer: Patient Selection With a Prediction Nomogram. Clinical Lung Cancer. 21(6). e622–e632. 8 indexed citations
3.
Alcorn, Sara R., Jacob Fiksel, Chen Hu, et al.. (2019). Pilot Assessment of the BMET Decision Support Platform: A Tool to Improve Provider Survival Estimates and Selection of Prognosis-Appropriate Treatment for Patients with Symptomatic Bone Metastases. International Journal of Radiation Oncology*Biology*Physics. 105(1). S47–S47. 5 indexed citations
4.
Han, Peijin, Zhi Cheng, Michael R. Bowers, et al.. (2019). Spatial Radiation Dose Influence on Xerostomia Recovery and Its Comparison to Acute Incidence in Patients With Head and Neck Cancer. Advances in Radiation Oncology. 5(2). 221–230. 23 indexed citations
5.
Han, Peijin, Ilya Shpitser, Xuan Hui, et al.. (2019). Dose/Volume histogram patterns in Salivary Gland subvolumes influence xerostomia injury and recovery. Scientific Reports. 9(1). 3616–3616. 30 indexed citations
6.
Cheng, Zhi, Ana P. Kiess, Amanda Choflet, et al.. (2018). The Needs and Benefits of Continuous Model Updates on the Accuracy of RT-Induced Toxicity Prediction Models Within a Learning Health System. International Journal of Radiation Oncology*Biology*Physics. 103(2). 460–467. 23 indexed citations
7.
Hui, Xuan, Peijin Han, Zhi Cheng, et al.. (2018). Machine Learning Methods Uncover Radiomorphologic Dose Patterns in Salivary Glands that Predict Xerostomia in Patients with Head and Neck Cancer. Advances in Radiation Oncology. 4(2). 401–412. 44 indexed citations
8.
9.
Quon, Harry, Todd McNutt, Junghoon Lee, et al.. (2018). Needs and Challenges for Radiation Oncology in the Era of Precision Medicine. International Journal of Radiation Oncology*Biology*Physics. 103(4). 809–817. 10 indexed citations
10.
Quon, Harry, Xuan Hui, Zhi Cheng, et al.. (2017). Quantitative Evaluation of Head and Neck Cancer Treatment–Related Dysphagia in the Development of a Personalized Treatment Deintensification Paradigm. International Journal of Radiation Oncology*Biology*Physics. 99(5). 1271–1278. 17 indexed citations
11.
Cheng, Zhi, Chen Hu, S.P. Robertson, et al.. (2017). Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy. Advances in Radiation Oncology. 3(3). 346–355. 28 indexed citations
12.
Taylor, Richard, et al.. (2017). A Shape-Based Dose Model for the Prediction of High Grade Radiation Induced Xerostomia for Head and Neck Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 99(2). E682–E682.
13.
Hui, Xuan, Harry Quon, S.P. Robertson, et al.. (2016). A Risk Prediction Model for Head and Neck Radiation Toxicities: Novel Insights to Reduce the Risk of Head and Neck Radiation-Induced Xerostomia. International Journal of Radiation Oncology*Biology*Physics. 96(2). E686–E686. 4 indexed citations
14.
Bowers, Michael R., S.P. Robertson, Joseph Moore, et al.. (2015). SU‐E‐P‐26: Oncospace: A Shared Radiation Oncology Database System Designed for Personalized Medicine, Decision Support, and Research. Medical Physics. 42(6Part4). 3232–3232. 3 indexed citations
15.
Futrell, Charles M., Leonard L. Berry, & Michael R. Bowers. (2013). An Evaluation of Sales Training in the U.S. Banking Industry. Journal of Personal Selling and Sales Management. 4 indexed citations
16.
Bowers, Michael R., et al.. (2010). Using Reflective Thinking to Enhance Decision Skills, Cultural Sensitivity, and Teamwork. Marketing Education Review. 20(1). 17–20. 10 indexed citations
17.
Bowers, C. A., et al.. (2009). Interdisciplinary Synergy: A Partnership Between Business and Library Faculty and Its Effects on Students’ Information Literacy. Journal of Business & Finance Librarianship. 14(2). 110–127. 52 indexed citations
18.
Swan, John E. & Michael R. Bowers. (1998). Services quality and satisfaction:. Journal of Services Marketing. 12(1). 59–72. 40 indexed citations
19.
O’Connor, Stephen, Richard M. Shewchuk, & Michael R. Bowers. (1991). A model of service quality perceptions and health care consumer behavior.. PubMed. 6(1). 69–92. 32 indexed citations
20.
Bowers, Michael R. & Thomas L. Powers. (1991). Personal selling in health care organizations: a status report.. PubMed. 11(3). 19–27. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yong Lü Breakdown of academic impact, for papers by Yuan Jiang Breakdown of academic impact, for papers by Hardeep Chahal Breakdown of academic impact, for papers by G. Shainesh Breakdown of academic impact, for papers by Seewon Ryu Breakdown of academic impact, for papers by Stowe Shoemaker Breakdown of academic impact, for papers by David Brock Breakdown of academic impact, for papers by Joseph C. Santora Breakdown of academic impact, for papers by Lise Lamothe Breakdown of academic impact, for papers by Na Fu
Rankless by CCL
2026