Sunao Maki

58 total papers · 972 total citations
30 papers, 784 citations indexed

About

Sunao Maki is a scholar working on Nephrology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sunao Maki has authored 30 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Nephrology, 8 papers in Hematology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sunao Maki's work include Renal Diseases and Glomerulopathies (18 papers), Complement system in diseases (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Sunao Maki is often cited by papers focused on Renal Diseases and Glomerulopathies (18 papers), Complement system in diseases (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Sunao Maki collaborates with scholars based in Japan. Sunao Maki's co-authors include Kazuo Yoshioka, Tsukasa Takemura, Norihisa Akano, Hiroyuki Miyamoto, Katsumi Murakami, Akira Ooshima, Mitsuru Okada, Sadayoshi Ito, Norishige Yoshikawa and Yasuo Ohashi and has published in prestigious journals such as Kidney International, American Journal of Kidney Diseases and The Journal of Pathology.

In The Last Decade

Sunao Maki

27 papers receiving 758 citations

Author Peers

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

Author Last Decade Papers Cites
Sunao Maki 455 141 132 114 108 30 784
Norihisa Akano 332 0.7× 171 1.2× 117 0.9× 92 0.8× 86 0.8× 26 628
Gerald C. Groggel 316 0.7× 182 1.3× 156 1.2× 72 0.6× 109 1.0× 28 896
Caryl L. Campbell 315 0.7× 134 1.0× 161 1.2× 92 0.8× 60 0.6× 21 739
Nöel Lh 189 0.4× 154 1.1× 187 1.4× 69 0.6× 99 0.9× 31 670
Sekiko Taneda 340 0.7× 75 0.5× 195 1.5× 56 0.5× 100 0.9× 50 685
McCluskey Rt 359 0.8× 153 1.1× 146 1.1× 50 0.4× 146 1.4× 25 739
Yolanda Arce 194 0.4× 162 1.1× 206 1.6× 88 0.8× 123 1.1× 29 795
K. Sølling 214 0.5× 107 0.8× 221 1.7× 81 0.7× 111 1.0× 33 826
Irene Stachura 265 0.6× 107 0.8× 132 1.0× 44 0.4× 136 1.3× 31 673
Ettore Sabadini 344 0.8× 135 1.0× 126 1.0× 58 0.5× 281 2.6× 24 742

Countries citing papers authored by Sunao Maki

Since Specialization
Citations

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

Fields of papers citing papers by Sunao Maki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunao Maki

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