D.J. Hughes

2.7k total citations
40 papers, 502 citations indexed

About

D.J. Hughes is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, D.J. Hughes has authored 40 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in D.J. Hughes's work include Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). D.J. Hughes is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Treatments and Mutations (6 papers) and Lung Cancer Diagnosis and Treatment (4 papers). D.J. Hughes collaborates with scholars based in United Kingdom, United States and Canada. D.J. Hughes's co-authors include David Cunningham, Naureen Starling, Kate Young, Mohammed O. Hassan-Ibrahim, Fiona V Cresswell, Martin Fisher, Henry Levison, Alison Berner, D.J. Saunders and Joanna E. Davies and has published in prestigious journals such as Nature, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

D.J. Hughes

37 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D.J. Hughes United Kingdom 13 160 136 66 64 63 40 502
Giovanna Devercelli United States 12 195 1.2× 152 1.1× 88 1.3× 18 0.3× 16 0.3× 30 679
Lucie M. Turcotte United States 16 239 1.5× 110 0.8× 81 1.2× 55 0.9× 60 1.0× 79 911
Elaine Chang United States 15 292 1.8× 144 1.1× 42 0.6× 62 1.0× 27 0.4× 47 781
Shuyi Wei China 11 108 0.7× 51 0.4× 84 1.3× 57 0.9× 9 0.1× 31 501
Payal Desai United States 14 84 0.5× 41 0.3× 78 1.2× 14 0.2× 36 0.6× 74 909
Chris Wincup United Kingdom 17 78 0.5× 76 0.6× 95 1.4× 84 1.3× 29 0.5× 52 851
Gaëlle Coureau France 15 122 0.8× 130 1.0× 92 1.4× 52 0.8× 31 0.5× 35 590
Mostafa Eltobgy United States 14 69 0.4× 92 0.7× 116 1.8× 17 0.3× 13 0.2× 25 482
Hye Jung Chang South Korea 14 275 1.7× 146 1.1× 33 0.5× 23 0.4× 12 0.2× 26 543
Peng–Sheng Ting United States 10 64 0.4× 50 0.4× 161 2.4× 167 2.6× 24 0.4× 28 936

Countries citing papers authored by D.J. Hughes

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D.J. Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of D.J. Hughes. A scholar is included among the top collaborators of D.J. Hughes 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 D.J. Hughes. D.J. Hughes 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.
Smith, Daniel, Andrea Billè, Akshay J. Patel, et al.. (2025). A Retrospective Evaluation of PD-L1 Expression and Heterogeneity in Early-Stage Non-Small Cell Lung Cancer (REPLICA). Clinical Lung Cancer. 26(3). e223–e231. 1 indexed citations
3.
Venkatesan, Subramanian, Dionysis Papadatos-Pastos, Tanya Ahmad, et al.. (2024). Entrectinib-Induced Myocarditis and Acute Heart Failure Responding to Steroid Treatment: A Case Report. JTO Clinical and Research Reports. 5(12). 100746–100746. 4 indexed citations
4.
Hughes, D.J., et al.. (2024). A qualitative study of Chicago gay men and the Mpox outbreak of 2022 in the context of HIV/AIDS, PrEP, and COVID-19. BMC Infectious Diseases. 24(1). 1174–1174. 2 indexed citations
6.
O’Shea, Robert, Carolyn Horst, D.J. Hughes, et al.. (2023). Weakly supervised segmentation models as explainable radiological classifiers for lung tumour detection on CT images. Insights into Imaging. 14(1). 195–195. 2 indexed citations
7.
Nazir, Muhummad Sohaib, D.J. Hughes, Kathryn Adamson, et al.. (2023). [99mTc]-labelled anti-Programmed Death-Ligand 1 single-domain antibody SPECT/CT: a novel imaging biomarker for myocardial PD-L1 expression. EJNMMI Research. 13(1). 44–44. 4 indexed citations
8.
Olsson‐Brown, Anna, Mark Baxter, Laura Feeney, et al.. (2022). The association of pre-existing autoimmune disease and immune-related adverse events secondary to immune checkpoint inhibition therapy in a UK multicenter cohort.. Journal of Clinical Oncology. 40(16_suppl). 2522–2522.
9.
Hughes, D.J., Manil Subesinghe, Benjamin Taylor, et al.. (2022). 18F FDG PET/CT and Novel Molecular Imaging for Directing Immunotherapy in Cancer. Radiology. 304(2). 246–264. 29 indexed citations
10.
Hughes, D.J., et al.. (2021). Venous thromboembolism in women with ovarian cancer undergoing neoadjuvant chemotherapy prior to cytoreductive surgery: A retrospective study. Acta Obstetricia Et Gynecologica Scandinavica. 100(11). 2091–2096. 12 indexed citations
11.
Berner, Alison, et al.. (2020). An evaluation of self-perceived knowledge, attitudes and behaviours of UK oncologists about LGBTQ+ patients with cancer. ESMO Open. 5(6). e000906–e000906. 33 indexed citations
12.
Pickles, Oliver, Lennard Y. W. Lee, Thomas Starkey, et al.. (2020). Immune checkpoint blockade: releasing the breaks or a protective barrier to COVID-19 severe acute respiratory syndrome?. British Journal of Cancer. 123(5). 691–693. 12 indexed citations
13.
Berner, Alison, et al.. (2020). Education to Improve Cancer Care for LGBTQ+ Patients in the UK. Clinical Oncology. 33(4). 270–273. 7 indexed citations
14.
Davagnanam, Indran, Duncan Wilson, Fatima Jichi, et al.. (2020). MRI-visible perivascular spaces as an imaging biomarker in Fabry disease. Journal of Neurology. 268(3). 872–878. 12 indexed citations
15.
Kamath, Archith, Gaurav Bhalla, Anuj Pareek, et al.. (2020). Clinical Characteristics and Outcomes in Patients with COVID-19 and Cancer: a Systematic Review and Meta-analysis. Clinical Oncology. 33(3). e180–e191. 56 indexed citations
16.
Ooi, Chee Y., Carlo Castellani, Katherine Keenan, et al.. (2019). Immunoreactive trypsinogen levels in newborn screened infants with an inconclusive diagnosis of cystic fibrosis. BMC Pediatrics. 19(1). 369–369. 24 indexed citations
17.
Davidson, Michael, E. Goode, D.J. Hughes, et al.. (2017). Survival in advanced oesophagogastric adenocarcinoma (OGA) improves with the use of multiple lines of therapy: Results from an analysis of over 500 patients (pts). Annals of Oncology. 28. v219–v219. 4 indexed citations
19.
Hughes, D.J., et al.. (2014). The role of transperineal template biopsies of the prostate in the diagnosis of prostate cancer: a review. Expert Review of Medical Devices. 12(2). 175–182. 12 indexed citations
20.
Bradshaw, Daniel, D.J. Hughes, Λεωνιδία Λεωνίδου, et al.. (2013). Screening for HIV-related neurocognitive impairment in clinical practice: Challenges and opportunities. AIDS Care. 26(2). 160–168. 13 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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