China Nagano

157 total papers · 1.5k total citations
77 papers, 613 citations indexed

About

China Nagano is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, China Nagano has authored 77 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 23 papers in Nephrology and 19 papers in Genetics. Recurrent topics in China Nagano's work include Renal and related cancers (27 papers), Renal Diseases and Glomerulopathies (21 papers) and Cell Adhesion Molecules Research (17 papers). China Nagano is often cited by papers focused on Renal and related cancers (27 papers), Renal Diseases and Glomerulopathies (21 papers) and Cell Adhesion Molecules Research (17 papers). China Nagano collaborates with scholars based in Japan, United States and Indonesia. China Nagano's co-authors include Kandai Nozu, Kazumoto Iijima, Tomohiko Yamamura, Nana Sakakibara, Tomoko Horinouchi, Hiroaki Nagase, Koichi Nakanishi, Shinya Ishiko, Yuya Aoto and Yuko Shima and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Kidney International.

In The Last Decade

China Nagano

67 papers receiving 606 citations

Author Peers

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

Author Last Decade Papers Cites
China Nagano 349 159 148 147 86 77 613
Nana Sakakibara 324 0.9× 126 0.8× 144 1.0× 131 0.9× 97 1.1× 70 637
Naoya Morisada 358 1.0× 87 0.5× 200 1.4× 152 1.0× 69 0.8× 46 569
Shogo Minamikawa 395 1.1× 158 1.0× 175 1.2× 262 1.8× 84 1.0× 46 696
Mato Nagel 273 0.8× 228 1.4× 119 0.8× 179 1.2× 61 0.7× 41 698
Nicole K. Andeen 262 0.8× 341 2.1× 57 0.4× 45 0.3× 118 1.4× 73 588
Beata S. Lipska‐Ziętkiewicz 249 0.7× 201 1.3× 135 0.9× 23 0.2× 74 0.9× 42 533
Yasuhito Suzuki 155 0.4× 168 1.1× 54 0.4× 53 0.4× 140 1.6× 46 627
Takakuni Tanizawa 159 0.5× 186 1.2× 72 0.5× 25 0.2× 112 1.3× 44 598
Junya Fujimura 208 0.6× 54 0.3× 88 0.6× 27 0.2× 57 0.7× 69 508
M Merta 210 0.6× 205 1.3× 174 1.2× 16 0.1× 189 2.2× 48 545

Countries citing papers authored by China Nagano

Since Specialization
Citations

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

Fields of papers citing papers by China Nagano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of China Nagano

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