Nicholas Nicholson

864 total citations · 1 hit paper
24 papers, 522 citations indexed

About

Nicholas Nicholson is a scholar working on Oncology, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Nicholas Nicholson has authored 24 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 7 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Nicholas Nicholson's work include Global Cancer Incidence and Screening (6 papers), Biomedical Text Mining and Ontologies (6 papers) and Semantic Web and Ontologies (6 papers). Nicholas Nicholson is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Biomedical Text Mining and Ontologies (6 papers) and Semantic Web and Ontologies (6 papers). Nicholas Nicholson collaborates with scholars based in Italy, Belgium and Spain. Nicholas Nicholson's co-authors include Francesco Giusti, Carmen Martos, Manola Bettio, Luciana Neamţiu, Giorgia Randi, Nadya Dimitrova, R. Carvalho, Manuela Flego, Tadeusz Dyba and Jacques Ferlay and has published in prestigious journals such as Annals of Oncology, European Journal of Cancer and Cancers.

In The Last Decade

Nicholas Nicholson

21 papers receiving 515 citations

Hit Papers

The European cancer burden in 2020: Incidence and mortali... 2021 2026 2022 2024 2021 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
Nicholas Nicholson Italy 7 231 117 115 70 62 24 522
Manuela Flego Italy 7 202 0.9× 100 0.9× 99 0.9× 64 0.9× 54 0.9× 15 466
Eucario León-Rodrı́guez Mexico 13 284 1.2× 108 0.9× 132 1.1× 85 1.2× 91 1.5× 47 641
Navdeep Pal United States 11 189 0.8× 127 1.1× 91 0.8× 90 1.3× 70 1.1× 26 689
Sarah Jo Stephens United States 9 125 0.5× 109 0.9× 93 0.8× 45 0.6× 77 1.2× 29 387
Yunan Han United States 16 337 1.5× 216 1.8× 152 1.3× 137 2.0× 58 0.9× 39 705
Nadya Dimitrova Italy 13 409 1.8× 144 1.2× 152 1.3× 92 1.3× 92 1.5× 39 804
Yifan Xue China 13 162 0.7× 82 0.7× 203 1.8× 66 0.9× 39 0.6× 36 597
Tina Seto United States 12 170 0.7× 66 0.6× 77 0.7× 76 1.1× 47 0.8× 26 435
Larry G. Maxwell United States 8 199 0.9× 76 0.6× 111 1.0× 49 0.7× 31 0.5× 12 528
Monika Lamba Saini India 12 261 1.1× 119 1.0× 269 2.3× 69 1.0× 55 0.9× 32 668

Countries citing papers authored by Nicholas Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Nicholson

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Nicholson. A scholar is included among the top collaborators of Nicholas Nicholson 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 Nicholas Nicholson. Nicholas Nicholson 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
2.
Nicholson, Nicholas & Iztok Štotl. (2024). A generic framework for the semantic contextualization of indicators. Frontiers in Computer Science. 6. 2 indexed citations
3.
Nicholson, Nicholas, Francesco Giusti, & Carmen Martos. (2023). Ontology-Based AI Design Patterns and Constraints in Cancer Registry Data Validation. Cancers. 15(24). 5812–5812.
4.
Nicholson, Nicholas, Francesco Giusti, & Carmen Martos. (2023). An ontology design for validating childhood cancer registry data. Frontiers in Oncology. 13. 1212434–1212434. 1 indexed citations
5.
Nicholson, Nicholas, Francesco Giusti, Manola Bettio, et al.. (2022). A multipurpose TNM stage ontology for cancer registries. Journal of Biomedical Semantics. 13(1). 7–7. 1 indexed citations
6.
Nicholson, Nicholas, et al.. (2022). Trusted Data Spaces as a Viable and Sustainable Solution for Networks of Population-Based Patient Registries. JMIR Public Health and Surveillance. 9. e34123–e34123. 1 indexed citations
7.
Dyba, Tadeusz, Giorgia Randi, Freddie Bray, et al.. (2021). The European cancer burden in 2020: Incidence and mortality estimates for 40 countries and 25 major cancers. European Journal of Cancer. 157. 308–347. 374 indexed citations breakdown →
8.
Nicholson, Nicholas, Francesco Giusti, Manola Bettio, et al.. (2021). An Ontology to Model the International Rules for Multiple Primary Malignant Tumours in Cancer Registration. Applied Sciences. 11(16). 7233–7233. 5 indexed citations
9.
Dyba, T, Giorgia Randi, Carmen Martos, et al.. (2021). 1501O Long-term estimates of cancer incidence and mortality for the EU and EFTA countries according to different demographic scenarios. Annals of Oncology. 32. S1102–S1102. 7 indexed citations
10.
Nicholson, Nicholas, Francesco Giusti, Manola Bettio, et al.. (2021). An ontology-based approach for developing a harmonised data-validation tool for European cancer registration. Journal of Biomedical Semantics. 12(1). 1–1. 16 indexed citations
11.
Giusti, Francesco, Carmen Martos, Luciana Neamţiu, et al.. (2020). Risk of second malignancies and survival differences by treatment pattern in prostate cancer: A population-based study. European Urology Open Science. 21. S126–S126. 1 indexed citations
12.
Giusti, Francesco, Carmen Martos, Silvia Scoccianti, et al.. (2020). 365MO Exploring changes in glioblastoma treatment patterns in Europe and the USA with population-based cancer registry data. Annals of Oncology. 31. S398–S398. 1 indexed citations
13.
Giusti, Francesco, Carmen Martos, Luciana Neamţiu, et al.. (2020). 508P Evaluating colorectal cancer treatment patterns by stage in European cancer registries. Annals of Oncology. 31. S455–S455. 2 indexed citations
14.
Nicholson, Nicholas & Andrea Perego. (2020). Interoperability of population-based patient registries. Journal of Biomedical Informatics. 112. 100074–100074. 11 indexed citations
15.
Dyba, T, Giorgia Randi, Carmen Martos, et al.. (2020). 1581O Estimation of European cancer burden for the year 2020. Annals of Oncology. 31. S1196–S1196. 1 indexed citations
16.
Giusti, Francesco, Carmen Martos, Emanuele Crocetti, et al.. (2019). Patient data to monitor clinical patterns in early and advanced breast cancer in Europe. Annals of Oncology. 30. v75–v75. 1 indexed citations
17.
Nicholson, Nicholas & Andrea Perego. (2019). RDF representation of the ECIS data set, v1. OSF Preprints (OSF Preprints). 1 indexed citations
18.
Bettio, Manola, R. Carvalho, Nadya Dimitrova, et al.. (2019). Measuring the cancer burden in Europe: The European Cancer Information System (ECIS). Annals of Oncology. 30. v675–v675. 13 indexed citations
19.
Martos, Carmen, Francesco Giusti, Giorgia Randi, et al.. (2018). A case study using the European Cancer Information System web-application: Lung cancer incidence. European Journal of Public Health. 28(suppl_4). 1 indexed citations
20.
Randi, Giorgia, R. Carvalho, Nadya Dimitrova, et al.. (2018). European Cancer Information System web-application: analysing and visualising European cancer data. European Journal of Public Health. 28(suppl_4). 2 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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