S. Thomas

8.4k total citations
118 papers, 2.1k citations indexed

About

S. Thomas is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, S. Thomas has authored 118 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Radiation, 46 papers in Radiology, Nuclear Medicine and Imaging and 38 papers in Pulmonary and Respiratory Medicine. Recurrent topics in S. Thomas's work include Advanced Radiotherapy Techniques (61 papers), Radiation Therapy and Dosimetry (24 papers) and Medical Imaging Techniques and Applications (20 papers). S. Thomas is often cited by papers focused on Advanced Radiotherapy Techniques (61 papers), Radiation Therapy and Dosimetry (24 papers) and Medical Imaging Techniques and Applications (20 papers). S. Thomas collaborates with scholars based in United Kingdom, United States and France. S. Thomas's co-authors include N.G. Burnet, T. W. Haas, Andrew Hoole, L. Julién, F. Biraben, F. Nez, Hélène Fleurbaey, Sandrine Galtier, R. Jena and Adam T. Stearns and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Oncology and Applied Physics Letters.

In The Last Decade

S. Thomas

113 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Thomas United Kingdom	26	902	655	564	313	306	118	2.1k
Takeji Sakae Japan	28	1.6k 1.7×	851 1.3×	1.4k 2.5×	342 1.1×	335 1.1×	237	3.0k
Koichi Ogura Japan	32	620 0.7×	231 0.4×	1.4k 2.6×	471 1.5×	717 2.3×	248	3.6k
A. Kitagawa Japan	28	952 1.1×	257 0.4×	1.3k 2.2×	450 1.4×	375 1.2×	256	3.0k
Mitsuhiro Nakamura Japan	31	2.1k 2.4×	1.7k 2.7×	1.5k 2.7×	302 1.0×	475 1.6×	345	3.8k
David Thwaites Australia	34	2.6k 2.9×	1.7k 2.7×	1.9k 3.4×	142 0.5×	223 0.7×	178	3.5k
Norio Kato Japan	22	439 0.5×	160 0.2×	554 1.0×	147 0.5×	203 0.7×	96	1.9k
C. J. Tung Taiwan	24	753 0.8×	132 0.2×	213 0.4×	810 2.6×	701 2.3×	103	2.1k
Gudrun Alm Carlsson Sweden	28	747 0.8×	1.6k 2.4×	1.2k 2.2×	167 0.5×	86 0.3×	151	2.5k
Junji Miyahara Japan	12	856 0.9×	367 0.6×	279 0.5×	256 0.8×	181 0.6×	25	2.1k
M. Trovò Italy	21	402 0.4×	358 0.5×	783 1.4×	344 1.1×	137 0.4×	130	1.9k

Countries citing papers authored by S. Thomas

Since Specialization

Citations

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

Fields of papers citing papers by S. Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Thomas

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Thomas, S., et al.. (2025). Modeling mining-induced land degradation in Itagunmodi: A multi-temporal machine learning approach with random forest and gradient boosting. Trees Forests and People. 21. 100926–100926. 1 indexed citations

Powell, Janet T., et al.. (2024). Evaluation of Radiomic Analysis over the Comparison of Machine Learning Approach and Radiomic Risk Score on Glioblastoma. ORCA Online Research @Cardiff (Cardiff University). 19–22.

Yzombard, P., S. Thomas, L. Julién, F. Biraben, & F. Nez. (2023). 1S–3S cw spectroscopy of hydrogen/deuterium atom. The European Physical Journal D. 77(2). 5 indexed citations

Berger, Thomas, David J. Noble, S. Thomas, et al.. (2022). Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features. Physics and Imaging in Radiation Oncology. 24. 95–101. 16 indexed citations

Seifert, Steven A., Nicholas A. Buckley, Betty S. Chan, et al.. (2022). Clinical Toxicology Review Metrics and Expert Reviewers, 2021. Clinical Toxicology. 60(4). e1–e3. 1 indexed citations

Thomas, S., et al.. (2021). PAGAT gel dosimetry for everyone: gel production, measurement and evaluation. Biomedical Physics & Engineering Express. 7(5). 57001–57001. 4 indexed citations

Sutcliffe, M.P.F., K. Harrison, M. A. Parker, et al.. (2018). Autosegmentation of the rectum on megavoltage image guidance scans. Biomedical Physics & Engineering Express. 5(2). 25006–25006. 4 indexed citations

Romanchikova, Marina, K. Harrison, Julia Forman, et al.. (2017). Delivered dose can be a better predictor of rectal toxicity than planned dose in prostate radiotherapy. Radiotherapy and Oncology. 123(3). 466–471. 43 indexed citations

Holloway, S, Max Holloway, & S. Thomas. (2017). A method for acquiring random range uncertainty probability distributions in proton therapy. Physics in Medicine and Biology. 63(1). 01NT02–01NT02. 7 indexed citations

10.

Thomas, S., et al.. (2016). Recalculation of dose for each fraction of treatment on TomoTherapy. British Journal of Radiology. 89(1059). 20150770–20150770. 10 indexed citations

11.

Thomas, S., et al.. (2015). Evaluating Competing and Emerging Technologies for Stereotactic Body Radiotherapy and Other Advanced Radiotherapy Techniques. Clinical Oncology. 27(5). 251–259. 13 indexed citations

12.

Thomas, S., et al.. (2010). A Multicentre Timing Study of Intensity-modulated Radiotherapy Planning and Delivery. Clinical Oncology. 22(8). 658–665. 12 indexed citations

13.

Jerome, J. Terrence Jose & S. Thomas. (2008). Gaenslen's split-heel incision for calcaneal osteomyelitis—Case report. The Foot. 18(2). 113–116. 1 indexed citations

14.

Jerome, J. Terrence Jose, et al.. (2008). Tibialis anterior tendon rupture in gout—Case report and literature review. Foot and Ankle Surgery. 14(3). 166–169. 35 indexed citations

15.

Thomas, S., et al.. (2006). Undetected shoulder dislocation with presenting with torticollis. Injury Extra. 38(8). 270–272. 1 indexed citations

16.

Thomas, S., et al.. (2004). Equivalent diameters of elliptical fields. British Journal of Radiology. 77(923). 941–943. 3 indexed citations

17.

Thomas, S.. (2003). Capacity and Demand Models for Radiotherapy Treatment Machines. Clinical Oncology. 15(6). 353–358. 31 indexed citations

18.

Baker, Colin, et al.. (2002). Absorbed dose behind eye shields during kilovoltage photon radiotherapy. British Journal of Radiology. 75(896). 685–688. 11 indexed citations

19.

Burnet, N.G., et al.. (2001). A Tool to Measure Radiotherapy Complexity and Workload: Derivation from the Basic Treatment Equivalent (BTE) Concept. Clinical Oncology. 13(1). 14–23. 23 indexed citations

20.

Thomas, S.. (1994). Factors affecting penumbral shape and 3D dose distributions in stereotactic radiotherapy. Physics in Medicine and Biology. 39(4). 761–771. 9 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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