Elizabeth Dito

30 total papers · 714 total citations
18 papers, 579 citations indexed

About

Elizabeth Dito is a scholar working on Oncology, Cancer Research and Epidemiology. According to data from OpenAlex, Elizabeth Dito has authored 18 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 9 papers in Cancer Research and 4 papers in Epidemiology. Recurrent topics in Elizabeth Dito's work include Pancreatic and Hepatic Oncology Research (17 papers), Cancer Genomics and Diagnostics (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). Elizabeth Dito is often cited by papers focused on Pancreatic and Hepatic Oncology Research (17 papers), Cancer Genomics and Diagnostics (9 papers) and Colorectal Cancer Treatments and Studies (8 papers). Elizabeth Dito collaborates with scholars based in United States and Taiwan. Elizabeth Dito's co-authors include Andrew H. Ko, Margaret A. Tempero, Alan P. Venook, Emily K. Bergsland, Brian Schillinger, W. Michael Korn, Robin Kate Kelley, Chen‐Hao Yeh, A. Ong and Wu‐Chou Su and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Elizabeth Dito

17 papers receiving 568 citations

Author Peers

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

Author Last Decade Papers Cites
Elizabeth Dito 488 217 158 150 125 18 579
S. Alonso 448 0.9× 139 0.6× 99 0.6× 114 0.8× 78 0.6× 15 604
Minsig Choi 359 0.7× 104 0.5× 190 1.2× 134 0.9× 60 0.5× 28 546
Jesús Rodríguez-Pascual 400 0.8× 141 0.6× 110 0.7× 124 0.8× 51 0.4× 28 544
G. Manikhas 538 1.1× 198 0.9× 123 0.8× 231 1.5× 25 0.2× 25 684
Sihem Khelifa 408 0.8× 210 1.0× 225 1.4× 58 0.4× 66 0.5× 13 624
S Pelliccioni 240 0.5× 170 0.8× 189 1.2× 167 1.1× 117 0.9× 18 501
Zhenlin Yang 309 0.6× 150 0.7× 231 1.5× 249 1.7× 33 0.3× 36 616
Mao-Bin Meng 260 0.5× 120 0.6× 168 1.1× 251 1.7× 121 1.0× 17 621
Tianqiang Jin 287 0.6× 126 0.6× 239 1.5× 135 0.9× 59 0.5× 19 663
Wei‐Feng Qu 205 0.4× 186 0.9× 182 1.2× 156 1.0× 52 0.4× 24 542

Countries citing papers authored by Elizabeth Dito

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Dito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Dito

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