Sophie E. Willis

558 total citations
7 papers, 99 citations indexed

About

Sophie E. Willis is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sophie E. Willis has authored 7 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sophie E. Willis's work include DNA Repair Mechanisms (3 papers), PARP inhibition in cancer therapy (2 papers) and Cancer therapeutics and mechanisms (1 paper). Sophie E. Willis is often cited by papers focused on DNA Repair Mechanisms (3 papers), PARP inhibition in cancer therapy (2 papers) and Cancer therapeutics and mechanisms (1 paper). Sophie E. Willis collaborates with scholars based in United Kingdom, United States and Singapore. Sophie E. Willis's co-authors include Andrew J. Pierce, Emma Dean, Iwanka Kozarewa, Claire Smith, Kyoung‐Mee Kim, Se Hoon Park, Arsène‐Bienvenu Loembé, Ho Yeong Lim, Peter G. Mortimer and Aliénor Berges and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Sophie E. Willis

6 papers receiving 99 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sophie E. Willis United Kingdom 3 76 72 16 8 7 7 99
Carolyn Buser‐Doepner United States 4 58 0.8× 57 0.8× 10 0.6× 3 0.4× 12 1.7× 7 88
Julia Han Noll Germany 4 56 0.7× 35 0.5× 37 2.3× 4 0.5× 8 1.1× 6 92
Diala Abd-Rabbo Canada 6 30 0.4× 54 0.8× 34 2.1× 12 1.5× 9 1.3× 9 107
Nicholas Dompe Ukraine 3 30 0.4× 71 1.0× 7 0.4× 7 0.9× 12 1.7× 4 84
May Ji United States 4 36 0.5× 25 0.3× 17 1.1× 5 0.6× 4 0.6× 4 63
P. Chaturvedi United States 3 44 0.6× 72 1.0× 25 1.6× 9 1.1× 8 1.1× 4 100
Andrea Breitkreuz Germany 4 50 0.7× 40 0.6× 53 3.3× 3 0.4× 9 1.3× 5 96
Tuba Banaz United States 2 74 1.0× 38 0.5× 25 1.6× 6 0.8× 11 1.6× 2 95
Adina Hughes United Kingdom 3 39 0.5× 29 0.4× 27 1.7× 9 1.1× 4 0.6× 3 70
Aarti Kolluri United States 3 28 0.4× 53 0.7× 21 1.3× 16 2.0× 7 1.0× 5 97

Countries citing papers authored by Sophie E. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Sophie E. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sophie E. Willis. 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 Sophie E. Willis. The network helps show where Sophie E. Willis may publish in the future.

Co-authorship network of co-authors of Sophie E. Willis

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

All Works

7 of 7 papers shown
1.
Willis, Sophie E., Chris G. Richardson, Andrew G. Chambers, et al.. (2024). CLDN18/CLDN18.2 IHC assay comparison (SP455, 43-14A, EPR19202) and co-prevalence expression with other biomarkers in gastric carcinoma.. Journal of Clinical Oncology. 42(16_suppl). 4089–4089. 1 indexed citations
2.
Poudel, Pawan, Emily C. Jennings, Felicia Ng, et al.. (2024). Exploring the impact of tertiary lymphoid structures maturity in NSCLC: insights from TLS scoring. Frontiers in Immunology. 15. 1422206–1422206. 2 indexed citations
3.
Willis, Sophie E., Gemma N. Jones, Emma V. Jones, et al.. (2024). Abstract 1649: Large scale multi-omics concordance study of cyclin E1 identifies high expressing tumors lacking CCNE1 gene alterations across multiple tumor indications. Cancer Research. 84(6_Supplement). 1649–1649.
4.
Atkinson, James, et al.. (2023). Epitope Lability of Phosphorylated Biomarkers of the DNA Damage Response Pathway Results in Increased Vulnerability to Effects of Delayed or Incomplete Formalin Fixation. Journal of Histochemistry & Cytochemistry. 71(5). 237–257. 3 indexed citations
5.
Kim, Seung Tae, Simon A. Smith, Peter G. Mortimer, et al.. (2021). Phase I Study of Ceralasertib (AZD6738), a Novel DNA Damage Repair Agent, in Combination with Weekly Paclitaxel in Refractory Cancer. Clinical Cancer Research. 27(17). 4700–4709. 61 indexed citations
6.
Willis, Sophie E., C Winkler, Martine P. Roudier, et al.. (2021). Retrospective analysis of Schlafen11 (SLFN11) to predict the outcomes to therapies affecting the DNA damage response. British Journal of Cancer. 125(12). 1666–1676. 31 indexed citations
7.
Tan, Tze Heng, Sriram Sridhar, Helen K. Angell, et al.. (2020). 269 Tumoral and peripheral landscape of Viral- versus Carcinogen-Driven Head and Neck Cancer. SHILAP Revista de lepidopterología. A165–A166. 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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