Sae Makino

8 total papers · 439 total citations
3 papers, 363 citations indexed

About

Sae Makino is a scholar working on Infectious Diseases, Organic Chemistry and Pharmacology. According to data from OpenAlex, Sae Makino has authored 3 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Infectious Diseases, 1 paper in Organic Chemistry and 1 paper in Pharmacology. Recurrent topics in Sae Makino's work include Cocoa and Sweet Potato Agronomy (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper) and Asymmetric Synthesis and Catalysis (1 paper). Sae Makino is often cited by papers focused on Cocoa and Sweet Potato Agronomy (1 paper), Traditional and Medicinal Uses of Annonaceae (1 paper) and Asymmetric Synthesis and Catalysis (1 paper). Sae Makino collaborates with scholars based in Japan. Sae Makino's co-authors include Masakatsu Shibasaki, Kounosuke Oisaki, Tomoyuki Shibuguchi, Reiko Wada, Motomu Kanai, Yutaka Saga, Y. Shimizu, Rie Motoki, Toshihide Kobayashi and Hideto Miyoshi and has published in prestigious journals such as Journal of the American Chemical Society and Biochemistry.

In The Last Decade

Sae Makino

3 papers receiving 357 citations

Author Peers

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

Author Last Decade Papers Cites
Sae Makino 326 122 86 24 20 3 363
Neil J. Lajkiewicz 159 0.5× 23 0.2× 182 2.1× 25 1.0× 7 0.3× 9 339
Franz Dietrich Klingler 268 0.8× 133 1.1× 110 1.3× 14 0.6× 5 347
Rachel Trammell 236 0.7× 172 1.4× 36 0.4× 12 0.5× 6 351
Rahul Ray 285 0.9× 47 0.4× 115 1.3× 9 0.4× 4 342
Jerry D. Bryant 244 0.7× 25 0.2× 130 1.5× 19 0.8× 2 0.1× 7 323
E. K. Baylis 340 1.0× 76 0.6× 136 1.6× 11 0.5× 6 398
Nancy L. Sear 318 1.0× 29 0.2× 119 1.4× 24 1.0× 2 0.1× 5 366
Renaud Des Mazery 352 1.1× 64 0.5× 56 0.7× 42 1.8× 6 373
Hans‐Joachim Zeiß 270 0.8× 61 0.5× 127 1.5× 13 0.5× 9 322
Frédéric Eymery 297 0.9× 57 0.5× 52 0.6× 4 0.2× 3 0.1× 12 318

Countries citing papers authored by Sae Makino

Since Specialization
Citations

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

Fields of papers citing papers by Sae Makino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sae Makino

This figure shows the co-authorship network connecting the top 25 collaborators of Sae Makino. A scholar is included among the top collaborators of Sae Makino 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 Sae Makino. Sae Makino 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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2026