Ren Nanamiya

32 total papers · 551 total citations
29 papers, 342 citations indexed

About

Ren Nanamiya is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Ren Nanamiya has authored 29 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oncology, 13 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Ren Nanamiya's work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (9 papers) and Chemokine receptors and signaling (9 papers). Ren Nanamiya is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (9 papers) and Chemokine receptors and signaling (9 papers). Ren Nanamiya collaborates with scholars based in Japan. Ren Nanamiya's co-authors include Yukinari Kato, Mika K. Kaneko, Teizo Asano, Masato Sano, Hideki Hosono, Junko Takei, Takuro Nakamura, Miyuki Yanaka, Tomohiro Tanaka and Tomohiro Tanaka and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Cancer and Oncotarget.

In The Last Decade

Ren Nanamiya

29 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Ren Nanamiya 252 191 94 86 32 29 342
Hideki Hosono 280 1.1× 194 1.0× 121 1.3× 118 1.4× 41 1.3× 22 392
Saori Handa 244 1.0× 154 0.8× 92 1.0× 120 1.4× 38 1.2× 25 380
Angéla Virone-Oddos 142 0.6× 88 0.5× 79 0.8× 185 2.2× 15 0.5× 30 374
K Noguchi 120 0.5× 91 0.5× 34 0.4× 126 1.5× 35 1.1× 27 333
Marie‐Thérèse Auffredou 98 0.4× 131 0.7× 34 0.4× 181 2.1× 22 0.7× 20 387
Sanne Hiddingh 129 0.5× 87 0.5× 34 0.4× 168 2.0× 13 0.4× 20 379
Natalie Donin 71 0.3× 195 1.0× 54 0.6× 148 1.7× 21 0.7× 21 349
Qinli Sun 158 0.6× 213 1.1× 31 0.3× 88 1.0× 33 1.0× 19 387
Mao Zhang 164 0.7× 109 0.6× 54 0.6× 181 2.1× 62 1.9× 20 393
Cornelia Schuster 99 0.4× 118 0.6× 13 0.1× 106 1.2× 27 0.8× 22 314

Countries citing papers authored by Ren Nanamiya

Since Specialization
Citations

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

Fields of papers citing papers by Ren Nanamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ren Nanamiya

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