Alex Freeman

17.8k total citations · 1 hit paper
229 papers, 9.4k citations indexed

About

Alex Freeman is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Rheumatology. According to data from OpenAlex, Alex Freeman has authored 229 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Pulmonary and Respiratory Medicine, 73 papers in Surgery and 72 papers in Rheumatology. Recurrent topics in Alex Freeman's work include Prostate Cancer Diagnosis and Treatment (117 papers), Prostate Cancer Treatment and Research (101 papers) and Urologic and reproductive health conditions (67 papers). Alex Freeman is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (117 papers), Prostate Cancer Treatment and Research (101 papers) and Urologic and reproductive health conditions (67 papers). Alex Freeman collaborates with scholars based in United Kingdom, United States and Italy. Alex Freeman's co-authors include Mark Emberton, Hashim U. Ahmed, Alex Kirkham, Clare Allen, Richard Hindley, Louise Brown, Richard Kaplan, Ahmed El‐Shater Bosaily, Rhian Gabe and Chris Parker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Oncology.

In The Last Decade

Alex Freeman

221 papers receiving 9.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study

2017 2.2k citations Hashim U. Ahmed, Alex Freeman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alex Freeman United Kingdom	48	6.2k	2.8k	2.2k	2.1k	1.3k	229	9.4k
Markus Hohenfellner Germany	54	5.5k 0.9×	2.2k 0.8×	2.5k 1.1×	2.2k 1.0×	1.9k 1.5×	351	9.5k
Derya Tilki Germany	45	4.8k 0.8×	1.3k 0.5×	2.9k 1.3×	937 0.4×	1.5k 1.1×	497	8.1k
Tullio Sulser Switzerland	48	3.8k 0.6×	1.2k 0.4×	2.1k 1.0×	676 0.3×	1.9k 1.5×	273	7.0k
Ants Toi Canada	49	3.6k 0.6×	827 0.3×	1.5k 0.7×	991 0.5×	528 0.4×	225	8.6k
Gunnar Aus Sweden	38	7.0k 1.1×	1.5k 0.5×	1.7k 0.8×	716 0.3×	746 0.6×	94	8.4k
Young Deuk Choi South Korea	39	3.3k 0.5×	931 0.3×	2.0k 0.9×	463 0.2×	929 0.7×	362	6.0k
Martin Susani Austria	41	2.8k 0.4×	695 0.2×	1.6k 0.7×	963 0.5×	586 0.5×	172	5.6k
Hans‐Peter Schmid Switzerland	29	4.1k 0.7×	1.2k 0.4×	944 0.4×	487 0.2×	924 0.7×	180	5.5k
Sascha Pahernik Germany	33	2.7k 0.4×	674 0.2×	1.1k 0.5×	587 0.3×	574 0.4×	204	4.6k
Peter Chung Canada	47	3.9k 0.6×	1.6k 0.6×	3.4k 1.6×	987 0.5×	277 0.2×	320	10.8k

Countries citing papers authored by Alex Freeman

Since Specialization

Citations

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

Fields of papers citing papers by Alex Freeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Freeman

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

All Works

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20 of 20 papers shown

Kravvas, Georgios, Clarisse Gânier, Maurits de Koning, et al.. (2025). A Direct Comparative Analysis of HPV DNA with Single-Molecule RNA and p16INK4a Protein Expression in Lichen Sclerosus: Implications for Diagnostics and Pathogenesis. JID Innovations. 5(4). 100367–100367. 1 indexed citations

Linch, Mark, Gianmarco Leone, Yien Ning Sophia Wong, et al.. (2024). Nivolumab and ipilimumab for metastatic prostate cancer with an immunogenic signature: The NEPTUNES multi-centre two-cohort, biomarker-selected phase 2 trial.. Journal of Clinical Oncology. 42(16_suppl). 5013–5013. 5 indexed citations

Kravvas, Georgios, et al.. (2024). Primary Vulval Melanoma and Genital Lichen Sclerosus. SHILAP Revista de lepidopterología. 4(4). e411–e411. 1 indexed citations

Pang, Karl H., Giuseppe Fallara, Aiman Haider, et al.. (2023). Primary squamous cell carcinoma of the scrotum: Outcomes from a specialist center. Urologic Oncology Seminars and Original Investigations. 41(12). 488.e11–488.e18.

Asif, Aqua, Arjun Nathan, Alexander Ng, et al.. (2023). Comparing biparametric to multiparametric MRI in the diagnosis of clinically significant prostate cancer in biopsy-naive men (PRIME): a prospective, international, multicentre, non-inferiority within-patient, diagnostic yield trial protocol. BMJ Open. 13(4). e070280–e070280. 33 indexed citations

Singh, Saurabh, Francesco Giganti, Louise Dickinson, et al.. (2023). Prostate MR image quality of apparent diffusion coefficient maps versus fractional intracellular volume maps from VERDICT MRI using the PI-QUAL score and a dedicated Likert scale for artefacts. European Journal of Radiology. 168. 111109–111109. 1 indexed citations

Dickinson, Louise, Alex Kirkham, Shonit Punwani, et al.. (2023). Picture Perfect: The Status of Image Quality in Prostate MRI. Journal of Magnetic Resonance Imaging. 59(6). 1930–1952. 12 indexed citations

Çakır, Ömer Onur, Edoardo Pozzi, Fabio Castiglione, et al.. (2021). Clinical features, molecular characteristics and surgical management of primary penile mucosal melanoma based on the European Association of Urology Penile Cancer Guidelines. Melanoma Research. 32(1). 27–34. 6 indexed citations

Norris, Joseph M., Lina M. Carmona Echeverria, Benjamin S. Simpson, et al.. (2020). Histopathological features of prostate cancer conspicuity on multiparametric MRI: protocol for a systematic review and meta-analysis. BMJ Open. 10(10). e039735–e039735. 2 indexed citations

10.

Norris, Joseph M., Veeru Kasivisvanathan, Clare Allen, et al.. (2020). Exploring Patient Views and Acceptance of Multiparametric Magnetic Resonance Imaging for the Investigation of Suspected Prostate Cancer (the PACT Study): A Mixed-Methods Study Protocol. Methods and Protocols. 3(2). 26–26. 2 indexed citations

11.

Bunker, Clareann H., Georgios Kravvas, Aiman Haider, et al.. (2020). Reply to: ‘Does routine histology alter management post-circumcision?’. Journal of Clinical Urology. 15(1). 19–22. 1 indexed citations

12.

Bailey, Colleen, Roger Bourne, Bernard Siow, et al.. (2019). VERDICT MRI validation in fresh and fixed prostate specimens using patient‐specific moulds for histological and MR alignment. NMR in Biomedicine. 32(5). e4073–e4073. 22 indexed citations

13.

Simmons, Lucy, Abi Kanthabalan, Manit Arya, et al.. (2018). Prostate Imaging Compared to Transperineal Ultrasound-guided biopsy for significant prostate cancer Risk Evaluation (PICTURE): a prospective cohort validating study assessing Prostate HistoScanning. Prostate Cancer and Prostatic Diseases. 22(2). 261–267. 6 indexed citations

14.

Kasivisvanathan, Veeru, et al.. (2017). Management of Radiologically Indeterminate Magnetic Resonance Imaging Signals in Men at Risk of Prostate Cancer. European Urology Focus. 5(1). 62–68. 11 indexed citations

15.

Feber, Andrew, Ankur Chakravarthy, Patricia de Winter, et al.. (2016). CSN1 Somatic Mutations in Penile Squamous Cell Carcinoma. Cancer Research. 76(16). 4720–4727. 45 indexed citations

16.

Δικαίος, Νικόλαος, Mohamed Abd-Alazeez, Harbir Sidhu, et al.. (2015). Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI. European Radiology. 25(9). 2727–2737. 29 indexed citations

17.

Abd-Alazeez, Mohamed, Hashim U. Ahmed, Manit Arya, et al.. (2014). Can multiparametric magnetic resonance imaging predict upgrading of transrectal ultrasound biopsy results at more definitive histology?. Urologic Oncology Seminars and Original Investigations. 32(6). 741–747. 23 indexed citations

18.

Feber, Andrew, Manit Arya, Patricia de Winter, et al.. (2014). Epigenetics Markers of Metastasis and HPV-Induced Tumorigenesis in Penile Cancer. Clinical Cancer Research. 21(5). 1196–1206. 43 indexed citations

19.

Panagiotaki, Eleftheria, Rachel W. Chan, Νικόλαος Δικαίος, et al.. (2014). Microstructural Characterization of Normal and Malignant Human Prostate Tissue With Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumours Magnetic Resonance Imaging. Investigative Radiology. 50(4). 218–227. 125 indexed citations

20.

Ahmed, Hashim U., Paul Cathcart, Venu Chalasani, et al.. (2011). Whole‐gland salvage high‐intensity focused ultrasound therapy for localized prostate cancer recurrence after external beam radiation therapy. Cancer. 118(12). 3071–3078. 45 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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