MAKI NISHIO

114 total papers · 2.8k total citations
83 papers, 2.2k citations indexed

About

MAKI NISHIO is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, MAKI NISHIO has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 31 papers in Pharmacology and 18 papers in Oncology. Recurrent topics in MAKI NISHIO's work include Microbial Natural Products and Biosynthesis (28 papers), Fungal Biology and Applications (16 papers) and Peptidase Inhibition and Analysis (11 papers). MAKI NISHIO is often cited by papers focused on Microbial Natural Products and Biosynthesis (28 papers), Fungal Biology and Applications (16 papers) and Peptidase Inhibition and Analysis (11 papers). MAKI NISHIO collaborates with scholars based in Japan, United States and Germany. MAKI NISHIO's co-authors include Saburo Komatsubara, Jun Kohno, Tetsuo Ohnuki, TOSHIKAZU OKI, Tôru Okuda, Yutaka Koguchi, MASATAKA KONISHI, Takeo Miyaki, Kimio Kawano and KYOICHIRO SAITOH and has published in prestigious journals such as Optics Letters, The Journal of Organic Chemistry and Annals of Oncology.

In The Last Decade

MAKI NISHIO

76 papers receiving 2.1k citations

Author Peers

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

Author Last Decade Papers Cites
MAKI NISHIO 1.0k 821 611 233 213 83 2.2k
Koji Tomita 1.2k 1.2× 573 0.7× 631 1.0× 216 0.9× 251 1.2× 125 2.6k
Jason K. Sello 1.1k 1.0× 590 0.7× 370 0.6× 186 0.8× 154 0.7× 58 1.9k
Kenji Maeda 1.4k 1.3× 1.2k 1.4× 521 0.9× 402 1.7× 157 0.7× 112 3.1k
Hirokazu Arimoto 1.2k 1.1× 1.0k 1.3× 460 0.8× 409 1.8× 458 2.2× 88 2.7k
Caterina Fattorusso 1.3k 1.3× 1.0k 1.2× 565 0.9× 258 1.1× 169 0.8× 94 2.8k
Huawei Chen 2.1k 2.0× 396 0.5× 813 1.3× 391 1.7× 252 1.2× 80 2.9k
Ángeles Canales 1.6k 1.5× 789 1.0× 292 0.5× 277 1.2× 202 0.9× 89 2.5k
Kouji Kuramochi 983 0.9× 1.0k 1.3× 515 0.8× 94 0.4× 283 1.3× 190 2.6k
Zhao‐Xun Liang 2.1k 2.0× 353 0.4× 503 0.8× 76 0.3× 211 1.0× 86 3.1k
Susanne Grabley 1.3k 1.3× 1.1k 1.4× 996 1.6× 225 1.0× 530 2.5× 108 3.0k

Countries citing papers authored by MAKI NISHIO

Since Specialization
Citations

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

Fields of papers citing papers by MAKI NISHIO

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MAKI NISHIO

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