Keiko Maeda

69 total papers · 1.2k total citations
41 papers, 931 citations indexed

About

Keiko Maeda is a scholar working on Physiology, Surgery and Transplantation. According to data from OpenAlex, Keiko Maeda has authored 41 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 7 papers in Surgery and 7 papers in Transplantation. Recurrent topics in Keiko Maeda's work include Renal Transplantation Outcomes and Treatments (7 papers), Dialysis and Renal Disease Management (5 papers) and Organ Donation and Transplantation (4 papers). Keiko Maeda is often cited by papers focused on Renal Transplantation Outcomes and Treatments (7 papers), Dialysis and Renal Disease Management (5 papers) and Organ Donation and Transplantation (4 papers). Keiko Maeda collaborates with scholars based in Japan, United States and Switzerland. Keiko Maeda's co-authors include Katsuya Nagai, Mamoru Tanida, Jiao Shen, Yuko Horii, Akira Niijima, Toshihiko Yamano, Yoichi Fukushima, Nobuaki Okumura, Kazuya Kabei and Masahiko Tsuchiya and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Keiko Maeda

38 papers receiving 896 citations

Author Peers

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

Author Last Decade Papers Cites
Keiko Maeda 300 263 168 117 113 41 931
Ömer Çelik 245 0.8× 207 0.8× 220 1.3× 147 1.3× 17 0.2× 38 1.2k
Yasufumi Furuhata 286 1.0× 292 1.1× 122 0.7× 128 1.1× 63 0.6× 23 1.0k
Shingo Nakajima 313 1.0× 261 1.0× 193 1.1× 53 0.5× 29 0.3× 38 1.1k
Rocco Latorre 399 1.3× 300 1.1× 181 1.1× 117 1.0× 72 0.6× 43 1.2k
Jacqueline Nelisis Zanoni 205 0.7× 490 1.9× 187 1.1× 31 0.3× 34 0.3× 92 1.2k
Hakan Mollaoğlu 129 0.4× 167 0.6× 123 0.7× 25 0.2× 19 0.2× 30 1.1k
Rathinasamy Sheeladevi 133 0.4× 140 0.5× 247 1.5× 109 0.9× 70 0.6× 41 876
Hans J. Vogel 446 1.5× 356 1.4× 257 1.5× 25 0.2× 70 0.6× 25 983
Mai Hazekawa 224 0.7× 51 0.2× 98 0.6× 50 0.4× 23 0.2× 47 923
Dominic‐Luc Webb 295 1.0× 296 1.1× 146 0.9× 28 0.2× 49 0.4× 54 1.1k

Countries citing papers authored by Keiko Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Maeda

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