Reiko Suzuki

175 total papers · 3.4k total citations
89 papers, 2.5k citations indexed

About

Reiko Suzuki is a scholar working on Oncology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Reiko Suzuki has authored 89 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 15 papers in Molecular Biology and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Reiko Suzuki's work include Cancer Risks and Factors (14 papers), Bone and Dental Protein Studies (11 papers) and Nutritional Studies and Diet (9 papers). Reiko Suzuki is often cited by papers focused on Cancer Risks and Factors (14 papers), Bone and Dental Protein Studies (11 papers) and Nutritional Studies and Diet (9 papers). Reiko Suzuki collaborates with scholars based in Japan, Sweden and United States. Reiko Suzuki's co-authors include Takashi Ishimaru, Alicja Wolk, Shigehira Saji, Nicola Orsini, Timothy J. Key, Tove Rylander‐Rudqvist, Weimin Ye, Paul Terry, Frank B. Hu and Yoshio Takei and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Reiko Suzuki

82 papers receiving 2.4k citations

Hit Papers

An improved method for th... 1990 2026 2002 2014 1990 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Reiko Suzuki 833 548 456 409 403 89 2.5k
Tor Knutsen 698 0.8× 571 1.0× 1.0k 2.3× 166 0.4× 616 1.5× 96 3.3k
Susie Lau 482 0.6× 410 0.7× 444 1.0× 369 0.9× 218 0.5× 114 3.4k
David Barnes 576 0.7× 324 0.6× 655 1.4× 150 0.4× 536 1.3× 110 4.6k
Markus J. Hofer 407 0.5× 271 0.5× 546 1.2× 240 0.6× 229 0.6× 141 4.2k
Meirong Du 312 0.4× 262 0.5× 731 1.6× 868 2.1× 197 0.5× 163 4.8k
Eunil Lee 226 0.3× 205 0.4× 879 1.9× 213 0.5× 149 0.4× 165 3.6k
Cindy Lee 527 0.6× 967 1.8× 677 1.5× 84 0.2× 867 2.2× 106 4.2k
James W. Orr 519 0.6× 96 0.2× 554 1.2× 180 0.4× 316 0.8× 159 3.8k
Éva Kovács 178 0.2× 505 0.9× 1.7k 3.6× 309 0.8× 787 2.0× 86 4.6k
Maurice M. Black 854 1.0× 111 0.2× 402 0.9× 89 0.2× 133 0.3× 77 2.6k

Countries citing papers authored by Reiko Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Reiko Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reiko Suzuki

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