Yuka Maeda

59 total papers · 12.3k total citations
32 papers, 1.6k citations indexed

About

Yuka Maeda is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yuka Maeda has authored 32 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Oncology. Recurrent topics in Yuka Maeda's work include Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (6 papers). Yuka Maeda is often cited by papers focused on Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (6 papers). Yuka Maeda collaborates with scholars based in Japan, United States and Switzerland. Yuka Maeda's co-authors include Hiroyoshi Nishikawa, Daisuke Sugiyama, Shimon Sakaguchi, Ichiro Katayama, Megumi Nishioka, Eiichi Sato, Yasuo Fukumori, Yuzuru Kanakura, Elke Jäger and Atsushi Tanemura and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yuka Maeda

32 papers receiving 1.5k citations

Hit Papers

Anti-CCR4 mAb selectively... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yuka Maeda 842 518 459 147 106 32 1.6k
Zoltán Jakus 980 1.2× 522 1.0× 669 1.5× 115 0.8× 91 0.9× 40 2.1k
Katalin Kis‐Tóth 1.1k 1.3× 267 0.5× 492 1.1× 156 1.1× 82 0.8× 51 1.7k
Shamith Samarajiwa 802 1.0× 545 1.1× 898 2.0× 313 2.1× 86 0.8× 24 2.1k
Alison Farley 785 0.9× 913 1.8× 738 1.6× 133 0.9× 74 0.7× 21 1.9k
Kenneth J. Katschke 1.3k 1.5× 537 1.0× 504 1.1× 83 0.6× 40 0.4× 28 2.3k
Alison Skeel 1.0k 1.2× 324 0.6× 764 1.7× 115 0.8× 137 1.3× 37 2.1k
Alexander P.A. Stegmann 598 0.7× 384 0.7× 838 1.8× 127 0.9× 68 0.6× 52 2.0k
Jianping Yin 1.0k 1.2× 328 0.6× 976 2.1× 297 2.0× 64 0.6× 24 2.0k
Karim Y. Helmy 857 1.0× 407 0.8× 845 1.8× 462 3.1× 57 0.5× 20 2.2k
Carol Tucker‐Burden 1.1k 1.3× 258 0.5× 576 1.3× 118 0.8× 70 0.7× 29 2.2k

Countries citing papers authored by Yuka Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yuka Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuka Maeda

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026