Makiko Ogawa

67 total papers · 675 total citations
43 papers, 454 citations indexed

About

Makiko Ogawa is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Makiko Ogawa has authored 43 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Pathology and Forensic Medicine and 7 papers in Oncology. Recurrent topics in Makiko Ogawa's work include Photosynthetic Processes and Mechanisms (8 papers), Genetic factors in colorectal cancer (5 papers) and Photoreceptor and optogenetics research (3 papers). Makiko Ogawa is often cited by papers focused on Photosynthetic Processes and Mechanisms (8 papers), Genetic factors in colorectal cancer (5 papers) and Photoreceptor and optogenetics research (3 papers). Makiko Ogawa collaborates with scholars based in Japan, United States and China. Makiko Ogawa's co-authors include Michael H. A. Roehrl, Kouji Iida, Mamoru Nango, Julia Y. Wang, Atsushi Tanaka, Jinru Shia, Yasushi Kawasaki, Kumiko Katagiri, David S. Klimstra and Yihua Zhou and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Makiko Ogawa

42 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Makiko Ogawa 243 60 47 47 47 43 454
Megumi Ito 119 0.5× 38 0.6× 28 0.6× 94 2.0× 33 0.7× 39 455
Jingyang Liu 147 0.6× 32 0.5× 17 0.4× 22 0.5× 36 0.8× 32 440
Kazunori Matsumura 159 0.7× 29 0.5× 20 0.4× 26 0.6× 43 0.9× 40 463
Hiroshi Nakano 139 0.6× 102 1.7× 41 0.9× 10 0.2× 21 0.4× 44 493
Yihan Li 213 0.9× 91 1.5× 9 0.2× 23 0.5× 29 0.6× 46 499
Guobin Liu 178 0.7× 38 0.6× 19 0.4× 62 1.3× 58 1.2× 52 535
Jia‐Hui Luo 199 0.8× 27 0.5× 15 0.3× 105 2.2× 83 1.8× 32 483
Lin Niu 174 0.7× 135 2.3× 28 0.6× 13 0.3× 37 0.8× 23 482
Hunjoo Lee 311 1.3× 210 3.5× 15 0.3× 19 0.4× 48 1.0× 33 514
Sangyun Lee 308 1.3× 99 1.6× 34 0.7× 36 0.8× 12 0.3× 25 540

Countries citing papers authored by Makiko Ogawa

Since Specialization
Citations

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

Fields of papers citing papers by Makiko Ogawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makiko Ogawa

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