Thomas W. Feeley

3.1k total citations
120 papers, 2.2k citations indexed

About

Thomas W. Feeley is a scholar working on Economics and Econometrics, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Thomas W. Feeley has authored 120 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Economics and Econometrics, 27 papers in Pulmonary and Respiratory Medicine and 24 papers in Surgery. Recurrent topics in Thomas W. Feeley's work include Economic and Financial Impacts of Cancer (23 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers) and Cardiac, Anesthesia and Surgical Outcomes (18 papers). Thomas W. Feeley is often cited by papers focused on Economic and Financial Impacts of Cancer (23 papers), Health Systems, Economic Evaluations, Quality of Life (21 papers) and Cardiac, Anesthesia and Surgical Outcomes (18 papers). Thomas W. Feeley collaborates with scholars based in United States, United Kingdom and Australia. Thomas W. Feeley's co-authors include John Hedley‐Whyte, Frederick G. Mihm, Arthur L. Quasha, Daniel J. Ullyot, Michael F. Roizen, John Gilbert, David S. Feingold, Gary C. du Moulin, Leonard S. Bushnell and Keyuri Popat and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Cancer.

In The Last Decade

Thomas W. Feeley

113 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas W. Feeley United States 26 596 581 394 367 347 120 2.2k
Jeffrey S. Berns United States 36 481 0.8× 774 1.3× 164 0.4× 113 0.3× 269 0.8× 139 4.2k
Samuel A. Silver Canada 28 550 0.9× 270 0.5× 154 0.4× 315 0.9× 268 0.8× 105 2.6k
Jan Beyersmann Germany 33 296 0.5× 274 0.5× 599 1.5× 445 1.2× 200 0.6× 112 3.4k
Michael H. Kanter United States 31 352 0.6× 180 0.3× 242 0.6× 428 1.2× 330 1.0× 124 3.7k
Danny R. Hughes United States 29 286 0.5× 319 0.5× 394 1.0× 435 1.2× 110 0.3× 140 2.4k
Roy M. Poses United States 30 1.1k 1.8× 300 0.5× 333 0.8× 514 1.4× 923 2.7× 60 4.0k
Helen Campbell United Kingdom 26 678 1.1× 290 0.5× 203 0.5× 145 0.4× 420 1.2× 71 2.4k
C. William Hanson United States 20 266 0.4× 386 0.7× 151 0.4× 119 0.3× 243 0.7× 48 1.7k
James G. Stevenson United States 28 645 1.1× 556 1.0× 500 1.3× 302 0.8× 1.2k 3.4× 147 3.1k
Zia Sadique United Kingdom 21 732 1.2× 300 0.5× 390 1.0× 474 1.3× 245 0.7× 77 2.8k

Countries citing papers authored by Thomas W. Feeley

Since Specialization
Citations

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

Fields of papers citing papers by Thomas W. Feeley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas W. Feeley. 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 Thomas W. Feeley. The network helps show where Thomas W. Feeley may publish in the future.

Co-authorship network of co-authors of Thomas W. Feeley

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas W. Feeley. A scholar is included among the top collaborators of Thomas W. Feeley 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 Thomas W. Feeley. Thomas W. Feeley 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.
McClintock, Tyler R., David F. Friedlander, Daniel J. Pallin, et al.. (2021). Determining Variable Costs in the Acute Urolithiasis Cycle of Care Through Time-Driven Activity-Based Costing. Urology. 157. 107–113. 7 indexed citations
2.
Thaker, Nikhil G., David Boyce-Fappiano, Matthew S. Ning, et al.. (2021). Activity-Based Costing of Intensity-Modulated Proton versus Photon Therapy for Oropharyngeal Cancer. International Journal of Particle Therapy. 8(1). 374–382. 6 indexed citations
3.
Bain, Paul, Michael E. Porter, David N. Bernstein, et al.. (2021). Value-Based Healthcare in Urology: A Collaborative Review. European Urology. 79(5). 571–585. 26 indexed citations
4.
Kukreja, Janet Baack, Ashish M. Kamat, Colin P. Dinney, et al.. (2020). Utilizing time-driven activity-based costing to determine open radical cystectomy and ileal conduit surgical episode cost drivers. Urologic Oncology Seminars and Original Investigations. 39(4). 237.e1–237.e5. 5 indexed citations
5.
Urman, Richard D., Angela F. Edwards, Jeanna Blitz, et al.. (2019). Using Time-Driven Activity-Based Costing to Demonstrate Value in Perioperative Care: Recommendations and Review from the Society for Perioperative Assessment and Quality Improvement (SPAQI). Journal of Medical Systems. 44(1). 25–25. 21 indexed citations
6.
7.
Thaker, Nikhil G., Ankit Agarwal, Matthew T. Palmer, et al.. (2015). Variations in Proton Therapy Coverage in the State of Texas: Defining Medical Necessity for a Safe and Effective Treatment. International Journal of Particle Therapy. 2(4). 499–508. 4 indexed citations
8.
Porter, Michael E., et al.. (2014). Martini Klinik: Prostate Cancer Care. 4(5941). 423–5. 6 indexed citations
9.
Feeley, Thomas W., George W. Sledge, Laura A. Levit, & Patricia A. Ganz. (2013). Improving the quality of cancer care in America through health information technology. Journal of the American Medical Informatics Association. 21(5). 772–775. 18 indexed citations
10.
Feeley, Thomas W., Thomas W. Burke, Thomas A. Aloia, et al.. (2011). Ensuring quality cancer care. Cancer. 118(10). 2571–2582. 45 indexed citations
12.
Ewer, Michael S., Susannah K. Kish, Charles G. Martin, Kristen Price, & Thomas W. Feeley. (2001). Characteristics of cardiac arrest in cancer patients as a predictor of survival after cardiopulmonary resuscitation. Cancer. 92(7). 1905–1912. 67 indexed citations
13.
Shaw, Andrew, Lisa Weavind, & Thomas W. Feeley. (2001). Mechanical ventilation in critically ill cancer patients. Current Opinion in Oncology. 13(4). 224–228. 5 indexed citations
14.
Feeley, Thomas W.. (1999). A history of critical care and hyperbaric oxygen therapy as documented in the International Anesthesiology Clinics: Preface. International Anesthesiology Clinics. 37(1). 1 indexed citations
15.
Kish, Susannah K., et al.. (1998). Outcome of cardiopulmonary resuscitation in cancer patients admitted to an intensive care unit in a tertiary cancer center. CHEST Journal. 114. 1 indexed citations
16.
Feeley, Thomas W.. (1997). Management of perioperative arrhythmias. Journal of Cardiothoracic and Vascular Anesthesia. 11(2). 10–15. 6 indexed citations
17.
Royston, David & Thomas W. Feeley. (1995). Anesthesia for the patient with a transplanted organ. Little, Brown eBooks. 2 indexed citations
18.
DeCampli, William M., et al.. (1995). Blood loss and transfusion requirements in cystic fibrosis patients undergoing heart-lung or lung transplantation. Journal of Cardiothoracic and Vascular Anesthesia. 9(1). 59–62. 5 indexed citations
19.
Chaplan, Sandra R. & Thomas W. Feeley. (1990). Complications in the postanesthesia care unit. 9(2). 98–107.
20.
Feeley, Thomas W., et al.. (1978). Comparison of right atrial and pulmonary capillary wedge pressures. Critical Care Medicine. 6(3). 172–175. 6 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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