Ryan T. Flynn

2.1k total citations
94 papers, 1.6k citations indexed

About

Ryan T. Flynn is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ryan T. Flynn has authored 94 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Radiation, 61 papers in Pulmonary and Respiratory Medicine and 39 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ryan T. Flynn's work include Advanced Radiotherapy Techniques (78 papers), Radiation Therapy and Dosimetry (54 papers) and Medical Imaging Techniques and Applications (25 papers). Ryan T. Flynn is often cited by papers focused on Advanced Radiotherapy Techniques (78 papers), Radiation Therapy and Dosimetry (54 papers) and Medical Imaging Techniques and Applications (25 papers). Ryan T. Flynn collaborates with scholars based in United States, Canada and France. Ryan T. Flynn's co-authors include Daniel E. Hyer, Robert Jeraj, Yusung Kim, Dongxu Wang, Patrick M. Hill, Joël St‐Aubin, Charles L. Limoli, Michael S. Petronek, Timothy J. Waldron and Douglas R. Spitz and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Ryan T. Flynn

88 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan T. Flynn United States	24	1.4k	1.1k	748	203	138	94	1.6k
Dennis Mah United States	17	1.7k 1.2×	1.4k 1.3×	1.1k 1.5×	240 1.2×	140 1.0×	71	2.0k
P. Karaiskos Greece	30	2.1k 1.5×	1.6k 1.4×	1.6k 2.2×	591 2.9×	82 0.6×	145	2.5k
Brigitte Reniers Netherlands	22	1.1k 0.8×	835 0.7×	822 1.1×	577 2.8×	66 0.5×	92	1.5k
Michaël Duchateau Belgium	21	1.1k 0.8×	845 0.8×	826 1.1×	182 0.9×	170 1.2×	50	1.5k
N. Reynaert Belgium	25	1.5k 1.1×	1.1k 1.0×	1.3k 1.7×	421 2.1×	115 0.8×	96	1.9k
Ellen M. Kerkhof Netherlands	14	939 0.7×	585 0.5×	839 1.1×	140 0.7×	114 0.8×	25	1.2k
Niko Papanikolaou United States	22	1.5k 1.1×	1.1k 1.0×	982 1.3×	279 1.4×	126 0.9×	89	1.7k
Ali S. Meigooni United States	27	2.0k 1.5×	1.4k 1.2×	1.2k 1.6×	645 3.2×	69 0.5×	66	2.3k
Charles Robert Blackwell United States	5	915 0.7×	716 0.6×	547 0.7×	165 0.8×	37 0.3×	5	1.2k
Matthew B. Podgorsak United States	20	828 0.6×	663 0.6×	550 0.7×	174 0.9×	106 0.8×	81	1.1k

Countries citing papers authored by Ryan T. Flynn

Since Specialization

Citations

This map shows the geographic impact of Ryan T. Flynn'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 Ryan T. Flynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Flynn more than expected).

Fields of papers citing papers by Ryan T. Flynn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Flynn. 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 Ryan T. Flynn. The network helps show where Ryan T. Flynn may publish in the future.

Co-authorship network of co-authors of Ryan T. Flynn

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Flynn. A scholar is included among the top collaborators of Ryan T. Flynn 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 Ryan T. Flynn. Ryan T. Flynn 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

Hyer, Daniel E., Alonso N. Gutiérrez, Eric Jensen, et al.. (2024). Patient‐specific quality assurance of dynamically‐collimated proton therapy treatment plans. Medical Physics. 51(9). 5901–5910. 1 indexed citations

Smith, Joe S., et al.. (2024). Pharmacokinetics and pharmacodynamics of intravenously and subcutaneously administered pantoprazole in sheep (Ovis aries). PLoS ONE. 19(6). e0304533–e0304533.

Hyer, Daniel E., et al.. (2023). PETRA: A pencil beam trimming algorithm for analytical proton therapy dose calculations with the dynamic collimation system. Medical Physics. 50(11). 7263–7280. 3 indexed citations

Smith, Joe S., et al.. (2023). The pharmacokinetics and pharmacodynamics of esomeprazole in sheep after intravenous dosing. Frontiers in Veterinary Science. 10. 1172023–1172023. 2 indexed citations

Flynn, Ryan T., et al.. (2022). A novel optimization algorithm for enabling dynamically collimated proton arc therapy. Scientific Reports. 12(1). 21731–21731.

Hill, Patrick M., et al.. (2022). Mechanical Characterization and Validation of the Dynamic Collimation System Prototype for Proton Radiotherapy. Journal of Medical Devices. 16(2). 21013–21013. 3 indexed citations

Hyer, Daniel E., et al.. (2019). Trimmer sequencing time minimization during dynamically collimated proton therapy using a colony of cooperating agents. Physics in Medicine and Biology. 64(20). 205025–205025. 7 indexed citations

Flynn, Ryan T., et al.. (2019). Efficient ¹⁶⁹Yb high‐dose‐rate brachytherapy source production using reactivation. Medical Physics. 46(7). 2935–2943. 17 indexed citations

Flynn, Ryan T., et al.. (2019). Brachytherapy Future Directions. Seminars in Radiation Oncology. 30(1). 94–106. 31 indexed citations

10.

Flynn, Ryan T., et al.. (2019). Systematic Review of Intensity-Modulated Brachytherapy (IMBT): Static and Dynamic Techniques. International Journal of Radiation Oncology*Biology*Physics. 105(1). 206–221. 27 indexed citations

11.

Ding, G, Parham Alaei, Bruce Curran, et al.. (2018). Image guidance doses delivered during radiotherapy: Quantification, management, and reduction: Report of the AAPM Therapy Physics Committee Task Group 180. Medical Physics. 45(5). e84–e99. 111 indexed citations

12.

Moignier, Alexandra, Dongxu Wang, Ryan T. Flynn, et al.. (2016). Technical Note: A treatment plan comparison between dynamic collimation and a fixed aperture during spot scanning proton therapy for brain treatment. Medical Physics. 43(8Part1). 4693–4699. 35 indexed citations

13.

Wu, Xiaodong, et al.. (2015). Spot Weight Adaptation for Moving Target in Spot Scanning Proton Therapy. Frontiers in Oncology. 5. 119–119. 1 indexed citations

14.

Li, Xing, Shirin A. Enger, William M. Rockey, et al.. (2014). Interstitial rotating shield brachytherapy for prostate cancer. Medical Physics. 41(5). 51703–51703. 34 indexed citations

15.

Wang, Dongxu, Daniel E. Hyer, John M. Buatti, et al.. (2014). Impact of spot size on plan quality of spot scanning proton radiosurgery for peripheral brain lesions. Medical Physics. 41(12). 121705–121705. 39 indexed citations

16.

Hyer, Daniel E., et al.. (2014). Effects of spot size and spot spacing on lateral penumbra reduction when using a dynamic collimation system for spot scanning proton therapy. Physics in Medicine and Biology. 59(22). N187–N196. 37 indexed citations

17.

Flynn, Ryan T., et al.. (2013). Rapid emission angle selection for rotating‐shield brachytherapy. Medical Physics. 40(5). 51720–51720. 11 indexed citations

18.

Liu, Yuzhi, Ryan T. Flynn, Yusung Kim, & Xiaodong Wu. (2011). Dynamic-shield Intensity Modulated Brachytherapy (IMBT) for Cervical Cancer. International Journal of Radiation Oncology*Biology*Physics. 81(2). S201–S201. 2 indexed citations

19.

Maltz, Jonathan S., et al.. (2011). Image quality improvement in megavoltage cone beam CT using an imaging beam line and a sintered pixelated array system. Medical Physics. 38(11). 5969–5979. 14 indexed citations

20.

Flynn, Ryan T.. (2007). A comparison of intensity modulated x-ray therapy to intensity modulated proton therapy for the delivery of non-uniform dose distributions. PhDT. 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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