David Stobo

446 total citations
16 papers, 197 citations indexed

About

David Stobo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, David Stobo has authored 16 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 7 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Surgery. Recurrent topics in David Stobo's work include Occupational and environmental lung diseases (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Pleural and Pulmonary Diseases (3 papers). David Stobo is often cited by papers focused on Occupational and environmental lung diseases (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Pleural and Pulmonary Diseases (3 papers). David Stobo collaborates with scholars based in United Kingdom, Italy and Australia. David Stobo's co-authors include Laura E. Crotty Alexander, Caroline Kelly, Selina Tsim, Kevin G. Blyth, Laurence Dunn, Kirsten Forbes, Robert S. Lindsay, John Connell, John E. Foster and Allan James and has published in prestigious journals such as Journal of Clinical Oncology, European Heart Journal and Thorax.

In The Last Decade

David Stobo

12 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Stobo United Kingdom	7	103	62	53	34	29	16	197
Tomasz Nabiałek Poland	11	218 2.1×	19 0.3×	132 2.5×	19 0.6×	19 0.7×	53	371
Yu-Chung Wu Taiwan	5	216 2.1×	39 0.6×	28 0.5×	5 0.1×	42 1.4×	5	315
Jan Malte Sinning Germany	5	199 1.9×	87 1.4×	64 1.2×	12 0.4×	11 0.4×	11	268
Sukhjeet Ahuja United States	6	48 0.5×	125 2.0×	38 0.7×	2 0.1×	56 1.9×	10	198
Vittorio Aprile Italy	14	208 2.0×	42 0.7×	72 1.4×	6 0.2×	49 1.7×	48	350
Michele Lopergolo Italy	6	222 2.2×	17 0.3×	132 2.5×	5 0.1×	34 1.2×	6	287
Domenico Viggiano Italy	10	179 1.7×	22 0.4×	111 2.1×	6 0.2×	2 0.1×	32	261
Adam J. Bobbey United States	6	39 0.4×	80 1.3×	90 1.7×	13 0.4×	100 3.4×	17	313
Vandana Jeebun United Kingdom	5	194 1.9×	25 0.4×	30 0.6×	13 0.4×		6	236
David Sánchez-Lorente Spain	9	140 1.4×	19 0.3×	73 1.4×	12 0.4×		29	235

Countries citing papers authored by David Stobo

Since Specialization

Citations

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

Fields of papers citing papers by David Stobo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Stobo

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

All Works

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16 of 16 papers shown

Kidd, Andrew, Paul J. Cannon, Mark Hall, et al.. (2025). Reference standard methodology in the clinical evaluation of AI chest X-ray algorithms for lung cancer detection: A systematic review. European Journal of Radiology. 192. 112409–112409.

Sykes, Robert, Andrew Morrow, Kenneth Mangion, et al.. (2025). Radiological abnormalities persist following COVID-19 and correlate with impaired health-related quality of life: a prospective cohort study of hospitalised patients. BMJ Open Respiratory Research. 12(1). e001985–e001985.

Sykes, Robert, Andrew Morrow, Bethany Stanley, et al.. (2025). Exercise electrocardiography stress testing in suspected angina and non-obstructive coronary arteries. European Heart Journal. 46(29). 2920–2923.

McConnachie, Alex, David Stobo, John D. Maclay, et al.. (2024). Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation. BMJ Open. 14(9). e081062–e081062. 1 indexed citations

Stobo, David, Allan James, Derek Grose, et al.. (2020). Positron Emission Tomography-Computed Tomography Surveillance after (Chemo)Radiotherapy in Advanced Head and Neck Squamous Cell Cancer: Beyond the PET-NECK Protocol. Clinical Oncology. 32(10). 665–673. 4 indexed citations

Stobo, David, Allan James, Derek Grose, et al.. (2019). 12 week PET-CT has low positive predictive value for nodal residual disease in human papillomavirus-positive oropharyngeal cancers. Oral Oncology. 97. 76–81. 31 indexed citations

Sidik, Novalia, Margaret McEntegart, Giles Roditi, et al.. (2019). Rationale and design of the British Heart Foundation (BHF) Coronary Microvascular Function and CT Coronary Angiogram (CorCTCA) study. American Heart Journal. 221. 48–59. 23 indexed citations

Zhou, Shutang, David Stobo, Mary F. Dempsey, et al.. (2019). OC-023 Real life application of the PET-Neck protocol for post radiotherapy surveillance in advanced HNSCC. Radiotherapy and Oncology. 132. 14–15.

Tsim, Selina, Catherine Humphreys, Gordon W. Cowell, et al.. (2018). Early Contrast Enhancement: A novel magnetic resonance imaging biomarker of pleural malignancy. Lung Cancer. 118. 48–56. 22 indexed citations

10.

Tsim, Selina, David Stobo, Laura E. Crotty Alexander, Caroline Kelly, & Kevin G. Blyth. (2016). The diagnostic performance of routinely acquired and reported computed tomography imaging in patients presenting with suspected pleural malignancy. Lung Cancer. 103. 38–43. 37 indexed citations

11.

Tsim, Selina, Caroline Kelly, Laura E. Crotty Alexander, et al.. (2016). Diagnostic and Prognostic Biomarkers in the Rational Assessment of Mesothelioma (DIAPHRAGM) study: protocol of a prospective, multicentre, observational study. BMJ Open. 6(11). e013324–e013324. 29 indexed citations

12.

Tsim, Selina, Felicia Roberts, David Stobo, et al.. (2014). 76 Early experience of a regional mesothelioma MDT in the West of Scotland. Lung Cancer. 83. S28–S29. 4 indexed citations

13.

Tsim, Selina, et al.. (2014). S44 Early Contrast Kinetics During Magnetic Resonance Imaging In Patients With Suspected Mesothelioma. Thorax. 69(Suppl 2). A25–A26. 1 indexed citations

14.

Stobo, David, Robert S. Lindsay, John Connell, Laurence Dunn, & Kirsten Forbes. (2011). Initial experience of 3 Tesla versus conventional field strength magnetic resonance imaging of small functioning pituitary tumours. Clinical Endocrinology. 75(5). 673–677. 36 indexed citations

15.

Stobo, David, et al.. (2011). Cervical Amyloidoma Successfully Treated With Bortezomib and Dexamethasone. Journal of Clinical Oncology. 29(17). e512–e513. 8 indexed citations

16.

Stobo, David, et al.. (2011). Dati preliminari sul confronta fra imaging con RMN 3 Tesla e convenzionale nei microadenomi ipofisari funzionanti. L Endocrinologo. 12(5). 258–258. 1 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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