Christina Curtis

302 total papers · 31.5k total citations
77 papers, 6.7k citations indexed

About

Christina Curtis is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Christina Curtis has authored 77 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 46 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Christina Curtis's work include Cancer Genomics and Diagnostics (38 papers), Gene expression and cancer classification (12 papers) and Genetic factors in colorectal cancer (11 papers). Christina Curtis is often cited by papers focused on Cancer Genomics and Diagnostics (38 papers), Gene expression and cancer classification (12 papers) and Genetic factors in colorectal cancer (11 papers). Christina Curtis collaborates with scholars based in United States, United Kingdom and Canada. Christina Curtis's co-authors include Andrea Sottoriva, Simon Tavaré, Inmaculada Spiteri, John C. Marioni, Zhicheng Ma, Colin Watts, Anestis Touloumis, Sara Piccirillo, V. Peter Collins and Zheng Hu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Christina Curtis

75 papers receiving 6.6k citations

Hit Papers

Intratumor heterogeneity ... 2013 2026 2017 2021 2013 2019 2015 2019 2022 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christina Curtis 3.3k 2.9k 2.4k 1.1k 794 77 6.7k
Marc‐Henri Stern 3.5k 1.1× 2.1k 0.7× 2.4k 1.0× 1.2k 1.1× 634 0.8× 148 6.5k
Anita Grigoriadis 3.5k 1.1× 1.8k 0.6× 2.4k 1.0× 654 0.6× 588 0.7× 94 6.1k
José Adélaı̈de 4.4k 1.4× 1.9k 0.7× 2.7k 1.1× 657 0.6× 739 0.9× 130 7.6k
Malachi Griffith 4.0k 1.2× 2.2k 0.8× 1.4k 0.6× 1.1k 1.1× 424 0.5× 99 6.5k
Vladimir Lazar 4.1k 1.2× 2.1k 0.7× 2.1k 0.9× 972 0.9× 423 0.5× 133 7.4k
Matthew J. Walter 4.4k 1.4× 2.3k 0.8× 1.6k 0.7× 714 0.7× 1.1k 1.4× 107 7.6k
Mark Basik 3.5k 1.1× 2.9k 1.0× 2.8k 1.2× 772 0.7× 385 0.5× 140 7.2k
Domenico Delia 4.2k 1.3× 1.2k 0.4× 2.5k 1.1× 949 0.9× 447 0.6× 125 6.9k
Andrea Sottoriva 2.5k 0.8× 2.9k 1.0× 1.6k 0.7× 363 0.3× 868 1.1× 51 5.0k
Obi L. Griffith 3.9k 1.2× 1.4k 0.5× 1.4k 0.6× 1.1k 1.0× 346 0.4× 111 6.6k

Countries citing papers authored by Christina Curtis

Since Specialization
Citations

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

Fields of papers citing papers by Christina Curtis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Curtis

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

All Works

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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