Richard Colling

1.7k total citations
47 papers, 769 citations indexed

About

Richard Colling is a scholar working on Artificial Intelligence, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Richard Colling has authored 47 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Oncology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Richard Colling's work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Colorectal Cancer Screening and Detection (7 papers). Richard Colling is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Colorectal Cancer Screening and Detection (7 papers). Richard Colling collaborates with scholars based in United Kingdom, Canada and United States. Richard Colling's co-authors include Clare Verrill, Lai Mun Wang, Lisa Browning, Elizabeth J. Soilleux, David Snead, Nasir Rajpoot, Jens Rittscher, Philip S. Macklin, Karin A. Oien and Runjan Chetty and has published in prestigious journals such as Cell, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Richard Colling

47 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Colling United Kingdom 18 318 263 252 152 124 47 769
Swapnil Rane India 16 179 0.6× 279 1.1× 182 0.7× 139 0.9× 108 0.9× 82 853
Andreas Kleppe Norway 11 356 1.1× 460 1.7× 368 1.5× 184 1.2× 189 1.5× 22 1.0k
Tarjei S. Hveem Norway 12 265 0.8× 345 1.3× 332 1.3× 177 1.2× 161 1.3× 21 841
Jeremias Krause Germany 3 466 1.5× 489 1.9× 305 1.2× 106 0.7× 109 0.9× 8 868
Yosep Chong South Korea 16 319 1.0× 277 1.1× 184 0.7× 88 0.6× 81 0.7× 86 836
Sara Kochanny United States 16 261 0.8× 267 1.0× 341 1.4× 269 1.8× 141 1.1× 37 1.0k
Amelie Echle Germany 9 362 1.1× 350 1.3× 198 0.8× 70 0.5× 84 0.7× 10 618
Meriem Sefta France 5 347 1.1× 305 1.2× 157 0.6× 94 0.6× 143 1.2× 6 688
Fang‐I Lu Canada 16 189 0.6× 244 0.9× 309 1.2× 228 1.5× 92 0.7× 41 794
Ole-Johan Skrede United Kingdom 3 319 1.0× 401 1.5× 241 1.0× 69 0.5× 67 0.5× 4 654

Countries citing papers authored by Richard Colling

Since Specialization
Citations

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

Fields of papers citing papers by Richard Colling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Colling

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Colling. A scholar is included among the top collaborators of Richard Colling 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 Richard Colling. Richard Colling 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.
Sushentsev, Nikita, Anne Y. Warren, Richard Colling, et al.. (2025). Active Monitoring, Surgery, and Radiotherapy for Cribriform-Positive and Cribriform-Negative Prostate Cancer. JAMA Oncology. 11(12). 1512–1512. 1 indexed citations
2.
Birks, Jacqueline, et al.. (2024). Does the extent of extraprostatic extension at radical prostatectomy predict outcome?—a systematic review and meta‐analysis. Histopathology. 85(5). 727–742. 1 indexed citations
3.
4.
Song, Andrew H., Mane Williams, Drew F. K. Williamson, et al.. (2024). Analysis of 3D pathology samples using weakly supervised AI. Cell. 187(10). 2502–2520.e17. 27 indexed citations
5.
Colling, Richard, Lisa Browning, Derek Roskell, et al.. (2023). Department Wide Validation in Digital Pathology—Experience from an Academic Teaching Hospital Using the UK Royal College of Pathologists’ Guidance. Diagnostics. 13(13). 2144–2144. 7 indexed citations
6.
Liu, Jonathan, Richard Colling, Michelle R. Downes, et al.. (2023). Engineering the future of 3D pathology. The Journal of Pathology Clinical Research. 10(1). e347–e347. 6 indexed citations
7.
Browning, Lisa, Rosalin Cooper, Abhisek Ghosh, et al.. (2022). Impact of the transition to digital pathology in a clinical setting on histopathologists in training: experiences and perceived challenges within a UK training region. Journal of Clinical Pathology. 76(10). 712–718. 5 indexed citations
8.
Colling, Richard, Lisa Browning, Margaret R. Horton, et al.. (2022). The Use of Digital Pathology and Artificial Intelligence in Histopathological Diagnostic Assessment of Prostate Cancer: A Survey of Prostate Cancer UK Supporters. Diagnostics. 12(5). 1225–1225. 7 indexed citations
9.
Avenel, Christophe, Kimmo Kartasalo, Maja Marklund, et al.. (2021). Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer. Cancers. 13(19). 4837–4837. 20 indexed citations
10.
Young, Liam A. J., Carlo Ceresa, Ferenc E. Mózes, et al.. (2021). Noninvasive assessment of steatosis and viability of cold‐stored human liver grafts by MRI. Magnetic Resonance in Medicine. 86(6). 3246–3258. 2 indexed citations
11.
Fane, Mitchell E., Brett L. Ecker, Amanpreet Kaur, et al.. (2020). sFRP2 Supersedes VEGF as an Age-related Driver of Angiogenesis in Melanoma, Affecting Response to Anti-VEGF Therapy in Older Patients. Clinical Cancer Research. 26(21). 5709–5719. 22 indexed citations
12.
Browning, Lisa, Richard Colling, Emad A. Rakha, et al.. (2020). Digital pathology and artificial intelligence will be key to supporting clinical and academic cellular pathology through COVID-19 and future crises: the PathLAKE consortium perspective. Journal of Clinical Pathology. 74(7). 443–447. 49 indexed citations
13.
Browning, Lisa, Eve Fryer, Derek Roskell, et al.. (2020). Role of digital pathology in diagnostic histopathology in the response to COVID-19: results from a survey of experience in a UK tertiary referral hospital. Journal of Clinical Pathology. 74(2). 129–132. 32 indexed citations
14.
Browning, Lisa, et al.. (2019). Implementation of digital pathology into diagnostic practice: perceptions and opinions of histopathology trainees and implications for training. Journal of Clinical Pathology. 73(4). 223–227. 15 indexed citations
15.
Linder, Nina, Jenny C. Taylor, Richard Colling, et al.. (2018). Deep learning for detecting tumour-infiltrating lymphocytes in testicular germ cell tumours. Journal of Clinical Pathology. 72(2). 157–164. 53 indexed citations
16.
Kalimuthu, Sangeetha, Stefano Serra, Sara Hafezi‐Bakhtiari, et al.. (2017). Mucin‐rich variant of traditional serrated adenoma: a distinct morphological variant. Histopathology. 71(2). 208–216. 10 indexed citations
17.
Yeung, Trevor M., Lai Mun Wang, Richard Colling, et al.. (2017). Intraoperative identification and analysis of lymph nodes at laparoscopic colorectal cancer surgery using fluorescence imaging combined with rapid OSNA pathological assessment. Surgical Endoscopy. 32(2). 1073–1076. 18 indexed citations
18.
Colling, Richard, et al.. (2016). Evaluation of Relative Sensitivities and Specificities of BRAF Mutation Detection Methodologies, Using the Paradigm of Hairy Cell Leukaemia. Oxford University Research Archive (ORA) (University of Oxford). 240. 22–22. 1 indexed citations
19.
Chetty, Runjan, Sara Hafezi‐Bakhtiari, Stefano Serra, Richard Colling, & Lai Mun Wang. (2015). Traditional serrated adenomas (TSAs) admixed with other serrated (so-called precursor) polyps and conventional adenomas: a frequent occurrence. Journal of Clinical Pathology. 68(4). 270–273. 33 indexed citations
20.

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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