Makoto Koga

128 total papers · 2.8k total citations
87 papers, 2.3k citations indexed

About

Makoto Koga is a scholar working on Molecular Biology, Surgery and Aging. According to data from OpenAlex, Makoto Koga has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Surgery and 15 papers in Aging. Recurrent topics in Makoto Koga's work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (9 papers) and Immunotherapy and Immune Responses (8 papers). Makoto Koga is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (9 papers) and Immunotherapy and Immune Responses (8 papers). Makoto Koga collaborates with scholars based in Japan, United States and Germany. Makoto Koga's co-authors include Yasumi Ohshima, Raffi V. Aroian, Paul W. Sternberg, Jane Mendel, Shunichi Shimasaki, Jun Tateishi, Yuji Sato, Karen Cooksey, Hiroyuki Nakano and Michiya Ohta and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Makoto Koga

77 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Makoto Koga 1.3k 697 324 202 200 87 2.3k
Yue Zhang 1.3k 1.0× 541 0.8× 175 0.5× 323 1.6× 130 0.7× 76 2.6k
Cathy Savage‐Dunn 1.1k 0.9× 957 1.4× 263 0.8× 129 0.6× 178 0.9× 40 1.9k
Ruth Miskin 1.5k 1.2× 233 0.3× 429 1.3× 329 1.6× 91 0.5× 68 2.9k
Jessica M. Snyder 1.3k 1.0× 223 0.3× 128 0.4× 137 0.7× 116 0.6× 65 2.6k
Paola Nix 693 0.5× 460 0.7× 82 0.3× 98 0.5× 72 0.4× 48 1.7k
Haruyoshi Yamaza 1.0k 0.8× 393 0.6× 165 0.5× 76 0.4× 47 0.2× 82 2.1k
Wei Song 971 0.8× 300 0.4× 95 0.3× 103 0.5× 56 0.3× 63 2.2k
Jan Hegermann 1.6k 1.2× 219 0.3× 89 0.3× 96 0.5× 86 0.4× 95 3.3k
Qun He 1.7k 1.3× 174 0.2× 741 2.3× 147 0.7× 24 0.1× 97 2.9k
Inés Carrera 707 0.5× 273 0.4× 112 0.3× 32 0.2× 121 0.6× 74 1.5k

Countries citing papers authored by Makoto Koga

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Koga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Koga

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