Yasuo Makinodan

81 total papers · 1.2k total citations
73 papers, 988 citations indexed

About

Yasuo Makinodan is a scholar working on Animal Science and Zoology, Molecular Biology and Cell Biology. According to data from OpenAlex, Yasuo Makinodan has authored 73 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Animal Science and Zoology, 33 papers in Molecular Biology and 22 papers in Cell Biology. Recurrent topics in Yasuo Makinodan's work include Meat and Animal Product Quality (39 papers), Protein Hydrolysis and Bioactive Peptides (27 papers) and Calpain Protease Function and Regulation (19 papers). Yasuo Makinodan is often cited by papers focused on Meat and Animal Product Quality (39 papers), Protein Hydrolysis and Bioactive Peptides (27 papers) and Calpain Protease Function and Regulation (19 papers). Yasuo Makinodan collaborates with scholars based in Japan, United States and Zambia. Yasuo Makinodan's co-authors include Shizunori IKEDA, Haruhiko Toyohara, Masashi Andô, Yasuyuki Tsukamasa, Takayuki Nakagawa, Eiji Niwa, Yusuke Yoshimoto, Takeshi Akasaka, Makoto Kawabata and Masato Kinoshita and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Food Science and Fisheries Science.

In The Last Decade

Yasuo Makinodan

71 papers receiving 929 citations

Author Peers

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

Author						Papers	Cites
Yasuo Makinodan	680	466	304	161	152	73	988
Aurélien Brionne	458 0.7×	320 0.7×	124 0.4×	79 0.5×	28 0.2×	31	1.0k
Qiu‐Feng Cai	198 0.3×	548 1.2×	238 0.8×	79 0.5×	24 0.2×	47	1.1k
Sissel Beate Rønning	190 0.3×	743 1.6×	68 0.2×	114 0.7×	100 0.7×	41	1.2k
R.G. Taylor	468 0.7×	289 0.6×	181 0.6×	33 0.2×	311 2.0×	21	885
Javier Borderías	707 1.0×	374 0.8×	284 0.9×	235 1.5×	57 0.4×	34	1.1k
Satoshi Kanoh	496 0.7×	357 0.8×	140 0.5×	122 0.8×	136 0.9×	97	987
Macdonald Wick	590 0.9×	382 0.8×	156 0.5×	12 0.1×	78 0.5×	74	1.1k
Zhonghua Ning	603 0.9×	208 0.4×	56 0.2×	19 0.1×	57 0.4×	88	1.1k
Kiyoyoshi Nishita	113 0.2×	489 1.0×	113 0.4×	59 0.4×	59 0.4×	66	927
Max Gruber	167 0.2×	781 1.7×	69 0.2×	27 0.2×	61 0.4×	47	1.2k

Countries citing papers authored by Yasuo Makinodan

Since Specialization

Citations

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

Fields of papers citing papers by Yasuo Makinodan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuo Makinodan

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