P. Whybra

4.1k total citations
11 papers, 168 citations indexed

About

P. Whybra is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, P. Whybra has authored 11 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in P. Whybra's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Imaging Techniques and Applications (4 papers) and Esophageal Cancer Research and Treatment (4 papers). P. Whybra is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Medical Imaging Techniques and Applications (4 papers) and Esophageal Cancer Research and Treatment (4 papers). P. Whybra collaborates with scholars based in United Kingdom, Netherlands and Italy. P. Whybra's co-authors include Emiliano Spezi, Kieran Foley, Craig Parkinson, John Staffurth, Tom Crosby, André Dekker, Zhenwei Shi, Leonard Wee, Petros Kalendralis and Chris Hurt and has published in prestigious journals such as PLoS ONE, Scientific Reports and Radiotherapy and Oncology.

In The Last Decade

P. Whybra

11 papers receiving 164 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Whybra United Kingdom	7	156	52	46	44	43	11	168
Nathan Tsoutzidis Netherlands	2	157 1.0×	63 1.2×	43 0.9×	29 0.7×	19 0.4×	3	194
Denis Danthine Belgium	3	162 1.0×	66 1.3×	43 0.9×	29 0.7×	23 0.5×	8	209
Louis Deprez Belgium	2	160 1.0×	63 1.2×	43 0.9×	29 0.7×	20 0.5×	8	202
Isabella Fornacon-Wood United Kingdom	4	216 1.4×	107 2.1×	76 1.7×	43 1.0×	25 0.6×	9	241
Vivienn Weru Germany	8	107 0.7×	64 1.2×	24 0.5×	28 0.6×	11 0.3×	15	187
M Chetan United Kingdom	6	173 1.1×	121 2.3×	51 1.1×	45 1.0×	20 0.5×	13	231
Yanqing Ma China	11	159 1.0×	119 2.3×	66 1.4×	59 1.3×	52 1.2×	38	249
Aasheesh Kanwar United States	4	148 0.9×	53 1.0×	25 0.5×	36 0.8×	38 0.9×	7	190
Wuchao Li China	9	165 1.1×	124 2.4×	33 0.7×	49 1.1×	28 0.7×	24	252
Zongrui Ma China	8	192 1.2×	79 1.5×	58 1.3×	25 0.6×	32 0.7×	13	236

Countries citing papers authored by P. Whybra

Since Specialization

Citations

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

Fields of papers citing papers by P. Whybra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Whybra

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

All Works

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11 of 11 papers shown

Whybra, P., et al.. (2023). PO-1620 Transferability of deep learning models to the segmentation of gross tumour volume in brain cancer. Radiotherapy and Oncology. 182. S1315–S1316. 4 indexed citations

Whybra, P. & Emiliano Spezi. (2023). Sensitivity of standardised radiomics algorithms to mask generation across different software platforms. Scientific Reports. 13(1). 14419–14419. 4 indexed citations

Mori, Martina, Paolo Passoni, Elena Incerti, et al.. (2020). Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemotherapy for locally advanced pancreatic cancer. Radiotherapy and Oncology. 153. 258–264. 21 indexed citations

Zhang, Chong, Zhenwei Shi, Petros Kalendralis, et al.. (2020). Prediction of lymph node metastases using pre-treatment PET radiomics of the primary tumour in esophageal adenocarcinoma: an external validation study. British Journal of Radiology. 94(1118). 20201042–20201042. 21 indexed citations

Whybra, P., Craig Parkinson, Kieran Foley, John Staffurth, & Emiliano Spezi. (2019). Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging. Scientific Reports. 9(1). 9649–9649. 57 indexed citations

Foley, Kieran, et al.. (2019). Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer. PLoS ONE. 14(11). e0225550–e0225550. 15 indexed citations

Shi, Zhenwei, Kieran Foley, Emiliano Spezi, et al.. (2019). External Validation of Radiation-Induced Dyspnea Models on Esophageal Cancer Radiotherapy Patients. Frontiers in Oncology. 9. 1411–1411. 10 indexed citations

Parkinson, Craig, P. Whybra, John Staffurth, & C. Marshall. (2018). ATLAAS - Investigation into the Incorporation of Morphological Data on Automated Segmentation [Abstract]. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations

Parkinson, Craig, Kieran Foley, P. Whybra, et al.. (2018). Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods. EJNMMI Research. 8(1). 29–29. 9 indexed citations

10.

Foley, Kieran, Zhenwei Shi, P. Whybra, et al.. (2018). External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancer. Radiotherapy and Oncology. 133. 205–212. 24 indexed citations

11.

Whybra, P., Kieran Foley, Craig Parkinson, J. Staffurth, & Emiliano Spezi. (2018). EP-2117: Effect of Interpolation on 3D Texture Analysis of PET Imaging in Oesophageal Cancer. Radiotherapy and Oncology. 127. S1164–S1165. 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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