Anup Vinayan

871 total citations
10 papers, 456 citations indexed

About

Anup Vinayan is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research. According to data from OpenAlex, Anup Vinayan has authored 10 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cancer Research. Recurrent topics in Anup Vinayan's work include Renal cell carcinoma treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and MRI in cancer diagnosis (2 papers). Anup Vinayan is often cited by papers focused on Renal cell carcinoma treatment (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and MRI in cancer diagnosis (2 papers). Anup Vinayan collaborates with scholars based in United Kingdom and Australia. Anup Vinayan's co-authors include Paul Nathan, Vicky Goh, Jaspal Juttla, Balaji Ganeshan, Kenneth A. Miles, DJ Stott, Rob Glynne‐Jones, Anne Rigg, Marina Parton and Bhawna Sirohi and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and Annals of Oncology.

In The Last Decade

Anup Vinayan

9 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anup Vinayan United Kingdom 6 329 247 103 79 72 10 456
Tongfu Yu China 14 273 0.8× 248 1.0× 75 0.7× 66 0.8× 116 1.6× 28 498
Zhe Jin China 14 283 0.9× 161 0.7× 185 1.8× 37 0.5× 62 0.9× 37 525
Stephanie Lee‐Felker United States 12 262 0.8× 324 1.3× 71 0.7× 61 0.8× 138 1.9× 22 508
Alexander M.A. van der Wiel Netherlands 5 247 0.8× 105 0.4× 111 1.1× 82 1.0× 28 0.4× 6 381
Valentina Buscarino Italy 8 316 1.0× 198 0.8× 74 0.7× 43 0.5× 24 0.3× 9 458
Eralda Mema United States 11 370 1.1× 116 0.5× 95 0.9× 62 0.8× 20 0.3× 26 495
Zhengrong Zhou China 12 254 0.8× 114 0.5× 195 1.9× 35 0.4× 87 1.2× 38 449
Sue Chua United Kingdom 9 199 0.6× 201 0.8× 147 1.4× 22 0.3× 39 0.5× 21 369
Giovanna Sartor Italy 10 275 0.8× 240 1.0× 87 0.8× 74 0.9× 31 0.4× 22 464
Melanie Green United Kingdom 11 149 0.5× 165 0.7× 70 0.7× 33 0.4× 50 0.7× 19 378

Countries citing papers authored by Anup Vinayan

Since Specialization
Citations

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

Fields of papers citing papers by Anup Vinayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anup Vinayan

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

All Works

10 of 10 papers shown
1.
Brown, Nicholas F., Catherine McBain, Lucy Brazil, et al.. (2025). Ipilimumab with temozolomide vs. temozolomide alone after surgery and chemoradiotherapy in recently diagnosed glioblastoma: a randomized phase II clinical trial. Neuro-Oncology Advances. 7(1). vdaf032–vdaf032.
2.
Mulholland, Paul, Nicholas F. Brown, Catherine McBain, et al.. (2023). A randomised phase II multicentre study of ipilimumab with temozolomide vs temozolomide alone after surgery and chemoradiotherapy in patients with recently diagnosed glioblastoma: Ipi-Glio.. Journal of Clinical Oncology. 41(17_suppl). LBA2023–LBA2023. 5 indexed citations
3.
Sirohi, Bhawna, Marina Parton, Anup Vinayan, et al.. (2020). The impact of Oncotype DX breast cancer assay results on clinical practice: a UK experience. Breast Cancer Research and Treatment. 180(3). 809–817. 26 indexed citations
4.
Parton, Marina, Anup Vinayan, Stephanie Sutherland, et al.. (2017). The impact of Oncotype DX breast cancer assay results on clinical practice: A UK experience. Annals of Oncology. 28. v57–v58. 1 indexed citations
5.
Vinayan, Anup & Rob Glynne‐Jones. (2016). Anal cancer – What is the optimum chemoradiotherapy?. Best Practice & Research Clinical Gastroenterology. 30(4). 641–653. 9 indexed citations
6.
7.
Goh, Vicky, et al.. (2013). Body composition and association with treatment toxicity in patients with advanced renal cell carcinoma receiving targeted agents.. Journal of Clinical Oncology. 31(15_suppl). e15608–e15608. 1 indexed citations
8.
Nathan, Paul & Anup Vinayan. (2012). Imaging techniques as predictive and prognostic biomarkers in renal cell carcinoma. Therapeutic Advances in Medical Oncology. 5(2). 119–131. 5 indexed citations
9.
Goh, Vicky, Balaji Ganeshan, Paul Nathan, et al.. (2011). Assessment of Response to Tyrosine Kinase Inhibitors in Metastatic Renal Cell Cancer: CT Texture as a Predictive Biomarker. Radiology. 261(1). 165–171. 315 indexed citations
10.
Nathan, Paul, Anup Vinayan, DJ Stott, Jaspal Juttla, & Vicky Goh. (2010). CT response assessment combining reduction in both size and arterial phase density correlates with time to progression in metastatic renal cancer patients treated with targeted therapies. Cancer Biology & Therapy. 9(1). 15–19. 93 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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2026