Dean Y. Maeda

83 total papers · 3.0k total citations
35 papers, 1.8k citations indexed

About

Dean Y. Maeda is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Dean Y. Maeda has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 13 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Dean Y. Maeda's work include Cancer Immunotherapy and Biomarkers (9 papers), Chemokine receptors and signaling (7 papers) and Immune cells in cancer (6 papers). Dean Y. Maeda is often cited by papers focused on Cancer Immunotherapy and Biomarkers (9 papers), Chemokine receptors and signaling (7 papers) and Immune cells in cancer (6 papers). Dean Y. Maeda collaborates with scholars based in United States, Canada and Austria. Dean Y. Maeda's co-authors include John A. Zebala, Andrew Coop, Claudia Palena, Lucas A. Horn, Jeffrey Schlom, Yvette Robbins, Paúl E. Clavijo, Jay Friedman, Clint Allen and Sarah Greene and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Dean Y. Maeda

34 papers receiving 1.7k citations

Hit Papers

Effective combinatorial i... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Dean Y. Maeda 843 774 469 217 216 35 1.8k
Hassan Salari 351 0.4× 411 0.5× 507 1.1× 293 1.4× 123 0.6× 51 1.6k
Brian Gardner 665 0.8× 787 1.0× 494 1.1× 244 1.1× 127 0.6× 27 2.1k
Kunitaka Hirose 421 0.5× 574 0.7× 884 1.9× 159 0.7× 81 0.4× 34 1.8k
Chi‐Dug Kang 926 1.1× 714 0.9× 856 1.8× 174 0.8× 68 0.3× 69 2.0k
Janet Dawson 276 0.3× 649 0.8× 794 1.7× 74 0.3× 94 0.4× 52 2.1k
Uma Yasothan 430 0.5× 286 0.4× 605 1.3× 141 0.6× 80 0.4× 30 1.4k
Evan E. Opas 597 0.7× 274 0.4× 821 1.8× 152 0.7× 50 0.2× 34 2.0k
Vanina A. Medina 326 0.4× 674 0.9× 1.0k 2.1× 111 0.5× 69 0.3× 72 1.9k
Lenka Munoz 370 0.4× 256 0.3× 1.0k 2.1× 121 0.6× 165 0.8× 38 1.9k
Wai M. Liu 376 0.4× 307 0.4× 371 0.8× 77 0.4× 149 0.7× 55 1.4k

Countries citing papers authored by Dean Y. Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Dean Y. Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dean Y. Maeda. 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 Dean Y. Maeda. The network helps show where Dean Y. Maeda may publish in the future.

Co-authorship network of co-authors of Dean Y. Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Dean Y. Maeda. A scholar is included among the top collaborators of Dean Y. Maeda 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 Dean Y. Maeda. Dean Y. Maeda 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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