N.F. Kirkby

2.7k total citations
69 papers, 2.0k citations indexed

About

N.F. Kirkby is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, N.F. Kirkby has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Pulmonary and Respiratory Medicine and 22 papers in Radiation. Recurrent topics in N.F. Kirkby's work include Advanced Radiotherapy Techniques (19 papers), Radiation Therapy and Dosimetry (18 papers) and Effects of Radiation Exposure (10 papers). N.F. Kirkby is often cited by papers focused on Advanced Radiotherapy Techniques (19 papers), Radiation Therapy and Dosimetry (18 papers) and Effects of Radiation Exposure (10 papers). N.F. Kirkby collaborates with scholars based in United Kingdom, United States and Switzerland. N.F. Kirkby's co-authors include R. Jena, N.G. Burnet, K.J. Kirkby, Wenli Duo, P. Pearce, Rex B. Thorpe, Roland Clift, Sarah Jefferies, Jonathan Seville and Tao Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

N.F. Kirkby

68 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.F. Kirkby United Kingdom 26 502 487 413 350 304 69 2.0k
Zhibin Huang China 33 117 0.2× 288 0.6× 232 0.6× 170 0.5× 163 0.5× 196 3.4k
Sungjune Kim United States 28 99 0.2× 191 0.4× 460 1.1× 245 0.7× 79 0.3× 64 3.0k
Michel Lacroix France 26 1.3k 2.5× 765 1.6× 569 1.4× 813 2.3× 34 0.1× 131 4.7k
Kristina Nilsson Sweden 26 80 0.2× 244 0.5× 1.0k 2.5× 445 1.3× 726 2.4× 111 2.9k
Ulf Isacsson Sweden 47 914 1.8× 208 0.4× 629 1.5× 290 0.8× 589 1.9× 157 7.2k
Lianjie Li China 27 137 0.3× 184 0.4× 176 0.4× 58 0.2× 94 0.3× 143 2.6k
Kunio Shinohara Japan 23 319 0.6× 189 0.4× 246 0.6× 183 0.5× 258 0.8× 176 2.0k
Thierry Bastogne France 16 28 0.1× 455 0.9× 409 1.0× 99 0.3× 92 0.3× 75 1.1k
Lars R. Furenlid United States 30 66 0.1× 909 1.9× 209 0.5× 1.8k 5.2× 1.1k 3.7× 210 3.6k
Ranjit Kumar Sahoo India 24 505 1.0× 109 0.2× 649 1.6× 726 2.1× 32 0.1× 163 2.1k

Countries citing papers authored by N.F. Kirkby

Since Specialization
Citations

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

Fields of papers citing papers by N.F. Kirkby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.F. Kirkby. 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 N.F. Kirkby. The network helps show where N.F. Kirkby may publish in the future.

Co-authorship network of co-authors of N.F. Kirkby

This figure shows the co-authorship network connecting the top 25 collaborators of N.F. Kirkby. A scholar is included among the top collaborators of N.F. Kirkby 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 N.F. Kirkby. N.F. Kirkby 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.
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Ingram, Samuel, John-William Warmenhoven, Nicholas T. Henthorn, et al.. (2022). A computational approach to quantifying miscounting of radiation-induced double-strand break immunofluorescent foci. Communications Biology. 5(1). 700–700. 7 indexed citations
3.
Kirkby, N.F., Michael J. Merchant, Amy L. Chadwick, et al.. (2021). Determining the parameter space for effective oxygen depletion for FLASH radiation therapy. Physics in Medicine and Biology. 66(5). 55020–55020. 41 indexed citations
4.
Lowe, Matthew, N.F. Kirkby, Michael J. Merchant, et al.. (2021). Oxygen Depletion in Proton Spot Scanning: A Tool for Exploring the Conditions Needed for FLASH. SHILAP Revista de lepidopterología. 1(4). 290–304. 5 indexed citations
5.
Mackay, R., N.G. Burnet, Matthew Lowe, et al.. (2021). FLASH radiotherapy: Considerations for multibeam and hypofractionation dose delivery. Radiotherapy and Oncology. 164. 122–127. 31 indexed citations
6.
Kirkby, K.J., N.F. Kirkby, N.G. Burnet, et al.. (2020). Heavy charged particle beam therapy and related new radiotherapy technologies: The clinical potential, physics and technical developments required to deliver benefit for patients with cancer. British Journal of Radiology. 93(1116). 20200247–20200247. 16 indexed citations
7.
Ingram, Samuel, Nicholas T. Henthorn, John-William Warmenhoven, et al.. (2020). Hi-C implementation of genome structure for in silico models of radiation-induced DNA damage. PLoS Computational Biology. 16(12). e1008476–e1008476. 14 indexed citations
8.
Ingram, Samuel, John-William Warmenhoven, Nicholas T. Henthorn, et al.. (2019). Mechanistic modelling supports entwined rather than exclusively competitive DNA double-strand break repair pathway. Scientific Reports. 9(1). 6359–6359. 32 indexed citations
9.
Kirkby, N.F., et al.. (2018). Mathematical Modelling for Patient Selection in Proton Therapy. Clinical Oncology. 30(5). 299–306. 8 indexed citations
10.
Merchant, Michael J., J. Charles G. Jeynes, Anne-Catherine Wéra, et al.. (2015). Automatic cell detection in bright-field microscopy for microbeam irradiation studies. Physics in Medicine and Biology. 60(16). 6289–6303. 4 indexed citations
11.
Cleaver, J.A.S., et al.. (2014). An experimental study of the effect of zinc treatment on float glass. Research Explorer (The University of Manchester). 55. 14–22. 3 indexed citations
12.
Jena, R., et al.. (2014). Quantifying Uncertainty in Radiotherapy Demand at the Local and National Level using the Malthus Model. Clinical Oncology. 27(2). 92–98. 9 indexed citations
13.
Pearce, P., et al.. (2013). Environmental & economic life cycle assessment of current & future sewage sludge to energy technologies. Waste Management. 34(1). 185–195. 189 indexed citations
14.
Jeynes, J. Charles G., et al.. (2013). MeV single-ion beam irradiation of mammalian cells using the Surrey vertical nanobeam, compared with broad proton beam and X-ray irradiations. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 307. 586–591. 2 indexed citations
15.
16.
Barazzuol, Lara, R. Jena, N.G. Burnet, et al.. (2013). Evaluation of poly (ADP-ribose) polymerase inhibitor ABT-888 combined with radiotherapy and temozolomide in glioblastoma. Radiation Oncology. 8(1). 65–65. 74 indexed citations
17.
Barazzuol, Lara, R. Jena, N.G. Burnet, et al.. (2012). In VitroEvaluation of Combined Temozolomide and Radiotherapy Using X Rays and High-Linear Energy Transfer Radiation for Glioblastoma. Radiation Research. 177(5). 651–662. 28 indexed citations
18.
Kirkby, K.J., et al.. (2008). Cellular automaton model of cell response to targeted radiation. Applied Radiation and Isotopes. 67(3). 443–446. 9 indexed citations
19.
Burnet, N.G., R. Jena, Sarah Jefferies, SP Stenning, & N.F. Kirkby. (2006). Mathematical Modelling of Survival of Glioblastoma Patients Suggests a Role for Radiotherapy Dose Escalation and Predicts Poorer Outcome After Delay to Start Treatment. Clinical Oncology. 18(2). 93–103. 59 indexed citations
20.
Kirkby, N.F., et al.. (1994). A THEORETICAL INVESTIGATION OF PRESSURE SWING REACTION. Research Explorer (The University of Manchester). 12 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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