Reiko Namikawa

66 total papers · 4.7k total citations
51 papers, 3.5k citations indexed

About

Reiko Namikawa is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Reiko Namikawa has authored 51 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in Reiko Namikawa's work include Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Reiko Namikawa is often cited by papers focused on Immune Cell Function and Interaction (19 papers), T-cell and B-cell Immunology (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Reiko Namikawa collaborates with scholars based in United States, Japan and France. Reiko Namikawa's co-authors include Hideto Kaneshima, M Lieberman, J M McCune, L D Shultz, I L Weissman, Joseph M. McCune, Weissman Il, Linda Rabin, Marcus O. Muench and Takashi Takahashi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Reiko Namikawa

51 papers receiving 3.3k citations

Hit Papers

The SCID-hu Mouse: Murine... 1988 2026 2000 2013 1988 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Reiko Namikawa 1.8k 779 663 602 591 51 3.5k
Mark Bonyhadi 2.6k 1.4× 864 1.1× 532 0.8× 699 1.2× 307 0.5× 44 3.8k
M Lieberman 1.3k 0.7× 574 0.7× 573 0.9× 629 1.0× 331 0.6× 42 2.5k
M Bofill 2.1k 1.2× 614 0.8× 376 0.6× 270 0.4× 326 0.6× 46 3.7k
Richard J. Bende 1.3k 0.7× 605 0.8× 925 1.4× 384 0.6× 198 0.3× 51 3.2k
R. Pat Bucy 2.3k 1.3× 778 1.0× 660 1.0× 396 0.7× 172 0.3× 93 4.1k
Masatoshi Tateno 1.5k 0.8× 1.0k 1.3× 1.2k 1.8× 210 0.3× 538 0.9× 72 3.9k
L D Shultz 1.5k 0.8× 339 0.4× 621 0.9× 428 0.7× 416 0.7× 30 2.7k
Marta Catálfamo 4.3k 2.4× 557 0.7× 817 1.2× 380 0.6× 388 0.7× 54 6.0k
Yacov Ron 2.1k 1.2× 759 1.0× 1.0k 1.6× 632 1.0× 118 0.2× 80 3.9k
Angela Granelli‐Piperno 3.8k 2.1× 1.4k 1.8× 1.6k 2.5× 461 0.8× 544 0.9× 67 7.0k

Countries citing papers authored by Reiko Namikawa

Since Specialization
Citations

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

Fields of papers citing papers by Reiko Namikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reiko Namikawa

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