Keiji Terao

357 total papers · 7.2k total citations
254 papers, 5.8k citations indexed

About

Keiji Terao is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Keiji Terao has authored 254 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 45 papers in Genetics and 42 papers in Immunology. Recurrent topics in Keiji Terao's work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (21 papers) and Virus-based gene therapy research (20 papers). Keiji Terao is often cited by papers focused on Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (21 papers) and Virus-based gene therapy research (20 papers). Keiji Terao collaborates with scholars based in Japan, United States and India. Keiji Terao's co-authors include Munetaka Kunishima, Shohei Tani, Chiho Kawachi, Fumiaki Iwasaki, Yasuhiro Yoshikawa, Sakae Uemura, Akio Toshimitsu, Yoshiyuki Ishida, Fumiko Ono and Naohide Ageyama and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Keiji Terao

249 papers receiving 5.6k citations

Author Peers

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

Author Last Decade Papers Cites
Keiji Terao 2.3k 971 682 552 532 254 5.8k
Ana Maria Oliveira Battastini 1.9k 0.8× 399 0.4× 617 0.9× 519 0.9× 437 0.8× 195 5.9k
Takeshi Shimizu 2.6k 1.2× 603 0.6× 749 1.1× 1.0k 1.8× 313 0.6× 430 7.4k
Christoph Weise 3.7k 1.6× 434 0.4× 942 1.4× 845 1.5× 488 0.9× 177 6.4k
Jian Chen 3.5k 1.5× 412 0.4× 946 1.4× 432 0.8× 353 0.7× 327 6.9k
Pei Zhang 2.9k 1.3× 277 0.3× 595 0.9× 513 0.9× 522 1.0× 365 7.6k
László Ötvös 3.5k 1.5× 689 0.7× 787 1.2× 463 0.8× 196 0.4× 177 6.0k
He Meng 2.4k 1.0× 352 0.4× 531 0.8× 295 0.5× 461 0.9× 168 6.4k
Tamao Endo 5.8k 2.5× 1.0k 1.0× 1.3k 2.0× 904 1.6× 547 1.0× 201 7.5k
Peter de Witte 3.0k 1.3× 492 0.5× 771 1.1× 268 0.5× 345 0.6× 282 9.5k
Matt Golding 3.3k 1.5× 527 0.5× 228 0.3× 587 1.1× 287 0.5× 123 9.6k

Countries citing papers authored by Keiji Terao

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Terao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Terao

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