Nolan Esplen

541 total citations · 1 hit paper
18 papers, 403 citations indexed

About

Nolan Esplen is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nolan Esplen has authored 18 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 17 papers in Radiation and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nolan Esplen's work include Advanced Radiotherapy Techniques (17 papers), Radiation Therapy and Dosimetry (17 papers) and Radiation Detection and Scintillator Technologies (9 papers). Nolan Esplen is often cited by papers focused on Advanced Radiotherapy Techniques (17 papers), Radiation Therapy and Dosimetry (17 papers) and Radiation Detection and Scintillator Technologies (9 papers). Nolan Esplen collaborates with scholars based in Canada, United States and Switzerland. Nolan Esplen's co-authors include Magdalena Bazalova‐Carter, Marc S. Mendonca, Luc Beaulieu, A. Gottberg, Cornelia Hoehr, François Therriault‐Proulx, Derek Wells, R. Corsini, Peter Woulfe and Sinéad O’Keeffe and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Nolan Esplen

18 papers receiving 397 citations

Hit Papers

Physics and biology of ultrahigh dose-rate (FLASH) radiot... 2020 2026 2022 2024 2020 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nolan Esplen Canada 11 355 348 104 48 24 18 403
D R Shipley United Kingdom 13 315 0.9× 312 0.9× 112 1.1× 58 1.2× 38 1.6× 53 371
A. Ostrowsky France 12 309 0.9× 279 0.8× 97 0.9× 27 0.6× 41 1.7× 31 350
Mahbubur Rahman United States 10 417 1.2× 434 1.2× 144 1.4× 62 1.3× 15 0.6× 21 474
Michele Togno Switzerland 12 301 0.8× 297 0.9× 75 0.7× 77 1.6× 31 1.3× 24 344
Ricardo Augusto Germany 7 293 0.8× 256 0.7× 111 1.1× 84 1.8× 57 2.4× 24 390
M. Pacitti Italy 10 343 1.0× 329 0.9× 48 0.5× 96 2.0× 17 0.7× 16 380
S. Trovati United States 7 338 1.0× 364 1.0× 133 1.3× 84 1.8× 18 0.8× 14 405
Liliana Stolarczyk Poland 15 531 1.5× 507 1.5× 128 1.2× 81 1.7× 48 2.0× 42 615
Adam Konefał Poland 12 319 0.9× 298 0.9× 107 1.0× 16 0.3× 42 1.8× 40 379
Rafael Kranzer Germany 15 475 1.3× 432 1.2× 92 0.9× 111 2.3× 22 0.9× 26 511

Countries citing papers authored by Nolan Esplen

Since Specialization
Citations

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

Fields of papers citing papers by Nolan Esplen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nolan Esplen

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

All Works

18 of 18 papers shown
1.
Liu, Kevin, U Titt, Nolan Esplen, et al.. (2025). Discordance in Acute Gastrointestinal Toxicity between Synchrotron-Based Proton and Linac-based Electron Ultra-High Dose Rate Irradiation. International Journal of Radiation Oncology*Biology*Physics. 122(2). 491–501. 5 indexed citations
2.
Ford, Nancy L., Xi Ren, Nolan Esplen, et al.. (2025). Respiratory-gated micro-computed tomography imaging to measure radiation-induced lung injuries in mice following ultra-high dose-rate and conventional dose-rate radiation therapy. Journal of Medical Imaging. 12(1). 14002–14002. 1 indexed citations
3.
Esplen, Nolan, et al.. (2024). Mini-GRID radiotherapy on the CLEAR very-high-energy electron beamline: collimator optimization, film dosimetry, and Monte Carlo simulations. Physics in Medicine and Biology. 69(5). 55003–55003. 10 indexed citations
4.
Farabolini, Wilfrid, Nolan Esplen, R. Corsini, et al.. (2024). Plastic Scintillator Dosimetry of Ultrahigh Dose-Rate 200 MeV Electrons at CLEAR. IEEE Sensors Journal. 24(9). 14229–14237. 13 indexed citations
5.
Esplen, Nolan, Xi Ren, Nancy L. Ford, et al.. (2024). Dosimetric characterization of a novel UHDR megavoltage X-ray source for FLASH radiobiological experiments. Scientific Reports. 14(1). 822–822. 8 indexed citations
6.
Esplen, Nolan, et al.. (2023). A feasibility study of ultra-high dose rate mini-GRID therapy using very-high-energy electron beams for a simulated pediatric brain case. Physica Medica. 112. 102637–102637. 8 indexed citations
8.
Bazalova‐Carter, Magdalena, et al.. (2022). Monte Carlo optimization of a GRID collimator for preclinical megavoltage ultra-high dose rate spatially-fractionated radiation therapy. Physics in Medicine and Biology. 67(18). 185001–185001. 5 indexed citations
9.
Esplen, Nolan, et al.. (2022). Design optimization of an electron-to-photon conversion target for ultra-high dose rate x-ray (FLASH) experiments at TRIUMF. Physics in Medicine and Biology. 67(10). 105003–105003. 20 indexed citations
10.
Therriault‐Proulx, François, et al.. (2022). Lead-doped scintillator dosimeters for detection of ultrahigh dose-rate x-rays. Physics in Medicine and Biology. 67(10). 105007–105007. 12 indexed citations
11.
Esplen, Nolan, et al.. (2022). Dose calculations for preclinical radiobiology experiments conducted with single‐field cabinet irradiators. Medical Physics. 49(3). 1911–1923. 7 indexed citations
12.
Esplen, Nolan, Marc S. Mendonca, & Magdalena Bazalova‐Carter. (2020). Physics and biology of ultrahigh dose-rate (FLASH) radiotherapy: a topical review. Physics in Medicine and Biology. 65(23). 23TR03–23TR03. 194 indexed citations breakdown →
13.
Esplen, Nolan, et al.. (2020). Monte Carlo simulations of EBT3 film dose deposition for percentage depth dose (PDD) curve evaluation. Journal of Applied Clinical Medical Physics. 21(12). 314–324. 12 indexed citations
14.
Esplen, Nolan, et al.. (2020). Initial Evaluation of the Performance of Novel Inorganic Scintillating Detectors for Small Animal Irradiation Dosimetry. IEEE Sensors Journal. 20(9). 4704–4712. 14 indexed citations
15.
Esplen, Nolan, François Therriault‐Proulx, Luc Beaulieu, & Magdalena Bazalova‐Carter. (2019). Preclinical dose verification using a 3D printed mouse phantom for radiobiology experiments. Medical Physics. 46(11). 5294–5303. 10 indexed citations
16.
Bazalova‐Carter, Magdalena & Nolan Esplen. (2019). On the capabilities of conventional x‐ray tubes to deliver ultra‐high (FLASH) dose rates. Medical Physics. 46(12). 5690–5695. 58 indexed citations
17.
Esplen, Nolan, et al.. (2018). Monte Carlo optimization of a microbeam collimator design for use on the small animal radiation research platform (SARRP). Physics in Medicine and Biology. 63(17). 175004–175004. 10 indexed citations
18.
Esplen, Nolan, et al.. (2018). Technical Note: Manufacturing of a realistic mouse phantom for dosimetry of radiobiology experiments. Medical Physics. 46(2). 1030–1036. 14 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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