Frederick J. Wilson

2.4k total citations
28 papers, 1.4k citations indexed

About

Frederick J. Wilson is a scholar working on Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Frederick J. Wilson has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 9 papers in Cognitive Neuroscience and 5 papers in Physiology. Recurrent topics in Frederick J. Wilson's work include EEG and Brain-Computer Interfaces (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Frederick J. Wilson is often cited by papers focused on EEG and Brain-Computer Interfaces (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Frederick J. Wilson collaborates with scholars based in United Kingdom, United States and Belgium. Frederick J. Wilson's co-authors include Thierry Troosters, Yogini Raste, Zafeiris Louvaris, Daniël Langer, Roberto Rabinovich, Santiago Giavedoni, Ioannis Vogiatzis, Hans Van Remoortel, Nicholas S Hopkinson and Chris Burtin and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Applied Physiology.

In The Last Decade

Frederick J. Wilson

27 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederick J. Wilson United Kingdom 14 466 422 390 175 128 28 1.4k
Bichun Ouyang United States 25 188 0.4× 211 0.5× 333 0.9× 60 0.3× 73 0.6× 111 2.2k
Claudine Fabre France 19 305 0.7× 390 0.9× 118 0.3× 355 2.0× 199 1.6× 54 1.5k
Christopher D. Askew Australia 30 277 0.6× 650 1.5× 274 0.7× 458 2.6× 686 5.4× 122 2.3k
Matthew N. Bartels United States 24 792 1.7× 373 0.9× 200 0.5× 261 1.5× 737 5.8× 105 2.3k
Jae‐Hong Lee South Korea 30 217 0.5× 979 2.3× 509 1.3× 89 0.5× 127 1.0× 196 3.1k
Chun Liang Hsu Canada 21 97 0.2× 382 0.9× 342 0.9× 97 0.6× 203 1.6× 67 1.8k
Brent E. Masel United States 28 184 0.4× 349 0.8× 332 0.9× 30 0.2× 88 0.7× 62 3.2k
Ana Verdelho Portugal 29 621 1.3× 341 0.8× 265 0.7× 42 0.2× 242 1.9× 65 2.6k
Peter D. Rochford Australia 22 684 1.5× 1.3k 3.1× 517 1.3× 36 0.2× 173 1.4× 59 1.9k
H. Rauch South Africa 23 103 0.2× 493 1.2× 257 0.7× 439 2.5× 648 5.1× 58 2.0k

Countries citing papers authored by Frederick J. Wilson

Since Specialization
Citations

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

Fields of papers citing papers by Frederick J. Wilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick J. Wilson. 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 Frederick J. Wilson. The network helps show where Frederick J. Wilson may publish in the future.

Co-authorship network of co-authors of Frederick J. Wilson

This figure shows the co-authorship network connecting the top 25 collaborators of Frederick J. Wilson. A scholar is included among the top collaborators of Frederick J. Wilson 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 Frederick J. Wilson. Frederick J. Wilson 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.
Fisk, Marie, et al.. (2020). Advances in PET to assess pulmonary inflammation: A systematic review. European Journal of Radiology. 130. 109182–109182. 11 indexed citations
2.
Young, Alexandra L., Joseph Jacob, Anthony Cahn, et al.. (2020). <p>Thoracic Imaging at Exacerbation of Chronic Obstructive Pulmonary Disease: A Systematic Review</p>. International Journal of COPD. Volume 15. 1751–1787. 8 indexed citations
3.
Onega, Mayca, Christine A. Parker, Christopher Coello, et al.. (2020). Preclinical evaluation of [18F]FB-A20FMDV2 as a selective marker for measuring αVβ6 integrin occupancy using positron emission tomography in rodent lung. European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 958–966. 5 indexed citations
4.
Lee, Sarah, et al.. (2019). Reproducibility of compartmental modelling of 18F-FDG PET/CT to evaluate lung inflammation. EJNMMI Physics. 6(1). 26–26. 3 indexed citations
5.
Lukey, Pauline T., Christopher Coello, Roger N. Gunn, et al.. (2019). Clinical quantification of the integrin αvβ6 by [18F]FB-A20FMDV2 positron emission tomography in healthy and fibrotic human lung (PETAL Study). European Journal of Nuclear Medicine and Molecular Imaging. 47(4). 967–979. 43 indexed citations
6.
Coello, Christopher, Marie Fisk, Divya Mohan, et al.. (2017). Quantitative analysis of dynamic 18F-FDG PET/CT for measurement of lung inflammation. EJNMMI Research. 7(1). 47–47. 29 indexed citations
7.
Wilson, Frederick J. & Philippe Danjou. (2015). Early Decision-Making in Drug Development: The Potential Role of Pharmaco-EEG and Pharmaco-Sleep. Neuropsychobiology. 72(3-4). 188–194. 5 indexed citations
8.
Jobert, Marc & Frederick J. Wilson. (2015). Advanced Analysis of Pharmaco-EEG Data in Humans. Neuropsychobiology. 72(3-4). 165–177. 12 indexed citations
9.
Brain, P., Foteini Strimenopoulou, Ana Diukova, et al.. (2014). Extracting drug mechanism and pharmacodynamic information from clinical electroencephalographic data using generalised semi-linear canonical correlation analysis. Physiological Measurement. 35(12). 2459–2474. 2 indexed citations
10.
Jobert, Marc, Frederick J. Wilson, Thomas Röth, et al.. (2013). Guidelines for the Recording and Evaluation of Pharmaco-Sleep Studies in Man: The International Pharmaco-EEG Society (IPEG). Neuropsychobiology. 67(3). 127–167. 36 indexed citations
11.
Rabinovich, Roberto, Zafeiris Louvaris, Yogini Raste, et al.. (2013). Validity of physical activity monitors during daily life in patients with COPD. European Respiratory Journal. 42(5). 1205–1215. 212 indexed citations
12.
Wilson, Frederick J., Steven C. Leiser, Magnus Ivarsson, Søren Rahn Christensen, & Jesper F. Bastlund. (2013). Can pharmaco-electroencephalography help improve survival of central nervous system drugs in early clinical development?. Drug Discovery Today. 19(3). 282–288. 18 indexed citations
13.
Remoortel, Hans Van, Yogini Raste, Zafeiris Louvaris, et al.. (2012). Validity of Six Activity Monitors in Chronic Obstructive Pulmonary Disease: A Comparison with Indirect Calorimetry. PLoS ONE. 7(6). e39198–e39198. 266 indexed citations
14.
Jobert, Marc, Frederick J. Wilson, G.S.F. Ruigt, et al.. (2012). Guidelines for the Recording and Evaluation of Pharmaco-EEG Data in Man: The International Pharmaco-EEG Society (IPEG). Neuropsychobiology. 66(4). 201–220. 133 indexed citations
15.
Remoortel, Hans Van, Santiago Giavedoni, Yogini Raste, et al.. (2012). Validity of activity monitors in health and chronic disease: a systematic review. International Journal of Behavioral Nutrition and Physical Activity. 9(1). 84–84. 212 indexed citations
16.
Louvaris, Zafeiris, Daniël Langer, Santiago Giavedoni, et al.. (2011). Activity monitor outcomes in COPD – Assessment of variability of 6 monitors as part of the IMI PROactive project. European Respiratory Journal. 38(Suppl 55). p2157–p2157. 1 indexed citations
17.
Fossa, Anthony A., Grant Langdon, Meijian Zhou, et al.. (2011). The Use of Beat-to-Beat Electrocardiogram Analysis to Distinguish QT/QTc Interval Changes Caused by Moxifloxacin From Those Caused by Vardenafil. Clinical Pharmacology & Therapeutics. 90(3). 449–454. 7 indexed citations
18.
Duff, Eugene, Aaron Trachtenberg, Clare E. Mackay, et al.. (2011). Task-driven ICA feature generation for accurate and interpretable prediction using fMRI. NeuroImage. 60(1). 189–203. 27 indexed citations
19.
Hay, Fiona R., et al.. (2003). One-step analysis of seed storage data and the longevity of Arabidopsis thaliana seeds. Journal of Experimental Botany. 54(384). 993–1011. 47 indexed citations
20.
Wilson, Frederick J., J R Heath, & David C. Watts. (1990). Finishing composite restorative materials. Journal of Oral Rehabilitation. 17(1). 79–87. 36 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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