George Santis

2.9k total citations
60 papers, 2.0k citations indexed

About

George Santis is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology. According to data from OpenAlex, George Santis has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 19 papers in Genetics and 18 papers in Oncology. Recurrent topics in George Santis's work include Virus-based gene therapy research (19 papers), Lung Cancer Treatments and Mutations (12 papers) and Lung Cancer Diagnosis and Treatment (11 papers). George Santis is often cited by papers focused on Virus-based gene therapy research (19 papers), Lung Cancer Treatments and Mutations (12 papers) and Lung Cancer Diagnosis and Treatment (11 papers). George Santis collaborates with scholars based in United Kingdom, United States and Canada. George Santis's co-authors include Elizabeth Davison, M.E. Hodson, Ian Kirby, Lucy R. Osborne, Ronan Breen, Richard A. Knight, Maddy Parsons, Brian J. Sutton, Michael Dean and Thomas J. Wickham and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

George Santis

57 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Santis United Kingdom 26 832 699 673 491 312 60 2.0k
Koichi Yoneyama Japan 18 425 0.5× 1.1k 1.5× 883 1.3× 235 0.5× 220 0.7× 38 2.1k
Shanop Shuangshoti Thailand 24 233 0.3× 795 1.1× 250 0.4× 291 0.6× 205 0.7× 125 2.1k
Stephanie Sellers United States 24 313 0.4× 1.4k 2.0× 1.3k 1.9× 734 1.5× 158 0.5× 46 2.5k
Archibald S. Perkins United States 22 224 0.3× 1.2k 1.7× 346 0.5× 425 0.9× 105 0.3× 42 2.3k
Mike Griffiths United Kingdom 33 250 0.3× 920 1.3× 355 0.5× 332 0.7× 98 0.3× 73 2.8k
Hitoshi Mochizuki Japan 24 471 0.6× 416 0.6× 156 0.2× 446 0.9× 386 1.2× 109 1.7k
D. Brian Dawson United States 22 206 0.2× 463 0.7× 343 0.5× 1.4k 2.8× 426 1.4× 50 2.6k
Dhirendra Govender South Africa 23 347 0.4× 680 1.0× 81 0.1× 506 1.0× 213 0.7× 88 1.7k
Sachiko Seo Japan 26 267 0.3× 1.0k 1.4× 122 0.2× 527 1.1× 333 1.1× 74 2.9k
Andrew C. Nelson United States 26 219 0.3× 656 0.9× 147 0.2× 424 0.9× 149 0.5× 85 1.9k

Countries citing papers authored by George Santis

Since Specialization
Citations

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

Fields of papers citing papers by George Santis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Santis

This figure shows the co-authorship network connecting the top 25 collaborators of George Santis. A scholar is included among the top collaborators of George Santis 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 George Santis. George Santis 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
2.
McGrath, H, Kimuli Ryanna, George Santis, et al.. (2023). 1285P Lung cancer in never smokers (LCINS): Clinicopathological characteristics and treatment outcomes from a university cancer centre in London. Annals of Oncology. 34. S741–S742. 1 indexed citations
3.
Ortíz-Zapater, Elena, Dustin Bagley, Virginia Llopis-Hernández, et al.. (2022). Epithelial coxsackievirus adenovirus receptor promotes house dust mite-induced lung inflammation. Nature Communications. 13(1). 6407–6407. 13 indexed citations
4.
Ortíz-Zapater, Elena, et al.. (2022). CAR Co-Operates With Integrins to Promote Lung Cancer Cell Adhesion and Invasion. Frontiers in Oncology. 12. 829313–829313. 6 indexed citations
5.
Roberts, Luke B., et al.. (2021). Coxsackie and Adenovirus Receptor (CAR) controls lung epithelial cell responses to inflammation. 31–31. 1 indexed citations
6.
Perumal, Prem, Harriet Garlant, Isobella Honeyborne, et al.. (2021). Validation of Differentially Expressed Immune Biomarkers in Latent and Active Tuberculosis by Real-Time PCR. Frontiers in Immunology. 11. 612564–612564. 23 indexed citations
7.
Ortíz-Zapater, Elena, et al.. (2018). KIF22 coordinates CAR and EGFR dynamics to promote cancer cell proliferation. Science Signaling. 11(515). 30 indexed citations
8.
Ortíz-Zapater, Elena, Richard Lee, William J. Owen, et al.. (2017). MET-EGFR dimerization in lung adenocarcinoma is dependent on EGFR mtations and altered by MET kinase inhibition. PLoS ONE. 12(1). e0170798–e0170798. 22 indexed citations
9.
Morton, Penny E., et al.. (2014). TNF alpha promotes coxsackie and adenovirus receptor (CAR) phosphorylation by PKC delta to drive leukocyte transepithelial migration. European Respiratory Journal. 44(Suppl 58). P3853–P3853. 1 indexed citations
10.
Moonim, Mufaddal, Ronan Breen, Paul Fields, & George Santis. (2013). Diagnosis and Subtyping of De Novo and Relapsed Mediastinal Lymphomas by Endobronchial Ultrasound Needle Aspiration. American Journal of Respiratory and Critical Care Medicine. 188(10). 1216–1223. 66 indexed citations
11.
12.
Pennycuick, Adam, Thomas Simpson, Danielle Crawley, et al.. (2012). Routine EGFR and KRAS Mutation analysis using COLD-PCR in non-small cell lung cancer. International Journal of Clinical Practice. 66(8). 748–752. 16 indexed citations
13.
Morton, Penny E., Marjolein Snippe, Chris Farmer, et al.. (2011). CAR Modulates E-Cadherin Dynamics in the Presence of Adenovirus Type 5. PLoS ONE. 6(8). e23056–e23056. 15 indexed citations
14.
Irshad, Sheeba, Emma McLean, Sheila Rankin, et al.. (2010). Unilateral Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia and Multiple Carcinoids Treated with Surgical Resection. Journal of Thoracic Oncology. 5(6). 921–923. 13 indexed citations
15.
Faith, Alexander, Joanne McDonald, Zoë Urry, et al.. (2006). Plasmacytoid Dendritic Cells from Human Lung Cancer Draining Lymph Nodes Induce Tc1 Responses. American Journal of Respiratory Cell and Molecular Biology. 36(3). 360–367. 27 indexed citations
16.
Davison, Elizabeth, Ian Kirby, J.L. Whitehouse, et al.. (2001). Adenovirus type 5 uptake by lung adenocarcinoma cells in culture correlates with Ad5 fibre binding is mediated by ?v?1 integrin and can be modulated by changes in ?1 integrin function. The Journal of Gene Medicine. 3(6). 550–559. 42 indexed citations
17.
Dean, Michael & George Santis. (1994). Heterogeneity in the severity of cystic fibrosis and the role of CFTR gene mutations. Human Genetics. 93(4). 364–8. 68 indexed citations
18.
Santis, George, M.E. Hodson, & Basil Strickland. (1991). High resolution computed tomography in adult cystic fibrosis patients with mild lung disease. Clinical Radiology. 44(1). 20–22. 47 indexed citations
19.
Santis, George, et al.. (1985). Severe extravasation injury. BMJ. 290(6485). 1904.6–1905. 1 indexed citations
20.
Burd, D.A.R., George Santis, & T.M. Milward. (1985). Severe extravasation injury: an avoidable iatrogenic disaster?. BMJ. 290(6481). 1579–1580. 19 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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