Christopher Cubitt

116 total papers · 2.2k total citations
56 papers, 1.7k citations indexed

About

Christopher Cubitt is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Christopher Cubitt has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 24 papers in Molecular Biology and 16 papers in Hematology. Recurrent topics in Christopher Cubitt's work include Multiple Myeloma Research and Treatments (9 papers), Polyomavirus and related diseases (6 papers) and Acute Myeloid Leukemia Research (6 papers). Christopher Cubitt is often cited by papers focused on Multiple Myeloma Research and Treatments (9 papers), Polyomavirus and related diseases (6 papers) and Acute Myeloid Leukemia Research (6 papers). Christopher Cubitt collaborates with scholars based in United States, Germany and China. Christopher Cubitt's co-authors include Robert N. Lausch, John E. Oakes, Carlos Augusto Monteiro, Daniel M. Sullivan, Michael Spector, Qizhi Tang, Jade Homsi, Jana L. Dawson, Adil Daud and Joel G. Turner and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Christopher Cubitt

53 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Christopher Cubitt 690 500 277 217 210 56 1.7k
Marco Bestagno 798 1.2× 549 1.1× 458 1.7× 174 0.8× 483 2.3× 51 1.9k
Bärbel S. Blaum 562 0.8× 252 0.5× 926 3.3× 126 0.6× 132 0.6× 36 1.9k
Mark A. Hancock 1.2k 1.7× 294 0.6× 233 0.8× 121 0.6× 46 0.2× 53 2.2k
Florigio Lista 602 0.9× 736 1.5× 397 1.4× 145 0.7× 88 0.4× 50 2.1k
Laurent Humeau 1.1k 1.6× 426 0.9× 542 2.0× 120 0.6× 57 0.3× 64 2.2k
Cunzhong Yuan 805 1.2× 415 0.8× 469 1.7× 96 0.4× 66 0.3× 70 1.9k
José Uriel 961 1.4× 221 0.4× 205 0.7× 79 0.4× 99 0.5× 65 2.0k
Janice M. Davis 638 0.9× 452 0.9× 396 1.4× 126 0.6× 122 0.6× 41 1.9k
Benedict Yan 1.0k 1.5× 513 1.0× 104 0.4× 156 0.7× 126 0.6× 72 2.1k
Elaine Del Nery 1.2k 1.8× 311 0.6× 221 0.8× 146 0.7× 94 0.4× 47 2.2k

Countries citing papers authored by Christopher Cubitt

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Cubitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Cubitt

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Cubitt. A scholar is included among the top collaborators of Christopher Cubitt 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 Christopher Cubitt. Christopher Cubitt 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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