Toby Mellows

2.0k total citations · 1 hit paper
17 papers, 1.5k citations indexed

About

Toby Mellows is a scholar working on Oncology, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Toby Mellows has authored 17 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Otorhinolaryngology. Recurrent topics in Toby Mellows's work include Cancer Immunotherapy and Biomarkers (6 papers), Head and Neck Cancer Studies (4 papers) and Cancer Cells and Metastasis (3 papers). Toby Mellows is often cited by papers focused on Cancer Immunotherapy and Biomarkers (6 papers), Head and Neck Cancer Studies (4 papers) and Cancer Cells and Metastasis (3 papers). Toby Mellows collaborates with scholars based in United Kingdom, United States and Australia. Toby Mellows's co-authors include Gareth J. Thomas, Christian H. Ottensmeier, Emma V. King, Pandurangan Vijayanand, Serena Chee, James Clarke, Tilman Sánchez-Elsner, Scott Harris, Aiman Alzetani and Grégory Seumois and has published in prestigious journals such as Journal of Clinical Oncology, Nature Immunology and Molecular and Cellular Biology.

In The Last Decade

Toby Mellows

16 papers receiving 1.4k citations

Hit Papers

Tissue-resident memory features are linked to the magnitu... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toby Mellows United Kingdom 12 885 643 357 244 222 17 1.5k
Simon Laban Germany 22 666 0.8× 351 0.5× 500 1.4× 272 1.1× 262 1.2× 127 1.3k
Alexis Desrichard United States 15 1.1k 1.2× 746 1.2× 644 1.8× 369 1.5× 497 2.2× 21 2.0k
You-Hong Fan United States 13 1.0k 1.1× 444 0.7× 817 2.3× 186 0.8× 185 0.8× 24 1.6k
You Hong Fan United States 13 841 1.0× 216 0.3× 793 2.2× 227 0.9× 291 1.3× 25 1.7k
Anna Wilkins United Kingdom 16 640 0.7× 430 0.7× 340 1.0× 400 1.6× 140 0.6× 39 1.3k
Dafydd Thomas United States 10 1.4k 1.6× 507 0.8× 693 1.9× 121 0.5× 438 2.0× 15 1.9k
Bruria Shalmon Israel 17 1.1k 1.3× 834 1.3× 339 0.9× 73 0.3× 87 0.4× 31 1.6k
Antonella De Stefani Italy 18 436 0.5× 247 0.4× 315 0.9× 223 0.9× 98 0.4× 37 1.2k
Marloes J.M. Gooden Netherlands 12 1.3k 1.5× 1.1k 1.7× 262 0.7× 216 0.9× 165 0.7× 12 1.8k
Chiara Romani Italy 22 407 0.5× 243 0.4× 498 1.4× 172 0.7× 295 1.3× 58 1.6k

Countries citing papers authored by Toby Mellows

Since Specialization
Citations

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

Fields of papers citing papers by Toby Mellows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toby Mellows

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

All Works

17 of 17 papers shown
1.
Garrido‐Martín, Eva M., Toby Mellows, James Clarke, et al.. (2020). M1hot tumor-associated macrophages boost tissue-resident memory T cells infiltration and survival in human lung cancer. Journal for ImmunoTherapy of Cancer. 8(2). e000778–e000778. 140 indexed citations
2.
Mellows, Toby, Eva M. Garrido‐Martín, Peter Howarth, et al.. (2018). Exosomal microRNAs in the lung: eliciting long-term intercellular communication?. OA2118–OA2118. 1 indexed citations
3.
Chee, Serena, Toby Mellows, Karwan Moutasim, et al.. (2017). Evaluating the effect of immune cells on the outcome of patients with mesothelioma. British Journal of Cancer. 117(9). 1341–1348. 52 indexed citations
4.
Ganesan, Anusha-Preethi, James Clarke, Oliver Wood, et al.. (2017). Tissue-resident memory features are linked to the magnitude of cytotoxic T cell responses in human lung cancer. Nature Immunology. 18(8). 940–950. 380 indexed citations breakdown →
5.
Tezera, Liku B., Magdalena K. Bielecka, Toby Mellows, et al.. (2017). Mycobacterium tuberculosis subverts negative regulatory pathways in human macrophages to drive immunopathology. PLoS Pathogens. 13(6). e1006367–e1006367. 40 indexed citations
6.
Hanley, Christopher J., Mark R. Morgan, Toby Mellows, et al.. (2017). Pro‐migratory and TGF‐β‐activating functions of αvβ6 integrin in pancreatic cancer are differentially regulated via an Eps8‐dependent GTPase switch. The Journal of Pathology. 243(1). 37–50. 22 indexed citations
7.
Hanley, Christopher J., Massimiliano Mellone, Kirsty Ford, et al.. (2017). Targeting the Myofibroblastic Cancer-Associated Fibroblast Phenotype Through Inhibition of NOX4. JNCI Journal of the National Cancer Institute. 110(1). 109–120. 149 indexed citations
8.
Noble, Fergus, Toby Mellows, Adrian C Bateman, et al.. (2016). Tumour infiltrating lymphocytes correlate with improved survival in patients with oesophageal adenocarcinoma. Cancer Immunology Immunotherapy. 65(6). 651–662. 82 indexed citations
9.
Chowdhury, Ferdousi, et al.. (2015). PD-L1 and CD8+PD1+ lymphocytes exist as targets in the pediatric tumor microenvironment for immunomodulatory therapy. OncoImmunology. 4(10). e1029701–e1029701. 50 indexed citations
10.
Chee, Serena, et al.. (2015). The association of T cells with survival in mesothelioma.. Journal of Clinical Oncology. 33(15_suppl). 7560–7560.
11.
Hanley, Christopher J., Fergus Noble, Matthew J. Ward, et al.. (2015). A subset of myofibroblastic cancer-associated fibroblasts regulate collagen fiber elongation, which is prognostic in multiple cancers. Oncotarget. 7(5). 6159–6174. 145 indexed citations
12.
Xie, Jianling, Halina Mikolajek, Craig R. Pigott, et al.. (2015). Molecular Mechanism for the Control of Eukaryotic Elongation Factor 2 Kinase by pH: Role in Cancer Cell Survival. Molecular and Cellular Biology. 35(10). 1805–1824. 37 indexed citations
13.
Ward, Matthew J., Toby Mellows, Scott Harris, et al.. (2014). Staging and treatment of oropharyngeal cancer in the human papillomavirus era. Head & Neck. 37(7). 1002–1013. 44 indexed citations
14.
Moutasim, Karwan, Toby Mellows, Massimiliano Mellone, et al.. (2014). Suppression of Hedgehog signalling promotes pro‐tumourigenic integrin expression and function. The Journal of Pathology. 233(2). 196–208. 7 indexed citations
15.
Ward, Matthew J., Stephen M. Thirdborough, Toby Mellows, et al.. (2013). Tumour-infiltrating lymphocytes predict for outcome in HPV-positive oropharyngeal cancer. British Journal of Cancer. 110(2). 489–500. 300 indexed citations
16.
Ward, Matthew J., Toby Mellows, Catherine Riley, Emma V. King, & Gareth J. Thomas. (2013). OP027. Oral Oncology. 49. S14–S14. 2 indexed citations
17.
Ward, Matthew J., Toby Mellows, Catherine Riley, Emma V. King, & Gareth J. Thomas. (2012). TNM Staging Does Not Predict Survival in HPV‐Positive OPSCC. Otolaryngology. 147(S2). 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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