Akinori Maeda

76 total papers · 790 total citations
48 papers, 536 citations indexed

About

Akinori Maeda is a scholar working on Surgery, Nephrology and Immunology. According to data from OpenAlex, Akinori Maeda has authored 48 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 12 papers in Nephrology and 10 papers in Immunology. Recurrent topics in Akinori Maeda's work include Acute Kidney Injury Research (8 papers), Hemodynamic Monitoring and Therapy (8 papers) and Electrolyte and hormonal disorders (5 papers). Akinori Maeda is often cited by papers focused on Acute Kidney Injury Research (8 papers), Hemodynamic Monitoring and Therapy (8 papers) and Electrolyte and hormonal disorders (5 papers). Akinori Maeda collaborates with scholars based in Japan, Australia and Italy. Akinori Maeda's co-authors include Kokichi Yamamoto, Masataka Sasada, Masaharu Nohgawa, Minoru Okuma, Nari Harakawa, Kuniko Takano, Kouji Matsushima, Kazuo Suzuki, Naofumi Mukaida and Atsushi Takahashi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Critical Care Medicine.

In The Last Decade

Akinori Maeda

40 papers receiving 513 citations

Author Peers

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

Author						Papers	Cites
Akinori Maeda	178	105	93	81	78	48	536
P Errasti	114 0.6×	60 0.6×	192 2.1×	106 1.3×	52 0.7×	54	613
Jie Wen	114 0.6×	98 0.9×	139 1.5×	41 0.5×	124 1.6×	26	598
Takakuni Tanizawa	131 0.7×	56 0.5×	74 0.8×	186 2.3×	159 2.0×	44	598
A Moutabarrik	164 0.9×	32 0.3×	114 1.2×	117 1.4×	131 1.7×	42	484
Nurşen Keleş	150 0.8×	41 0.4×	92 1.0×	94 1.2×	112 1.4×	33	472
Carsten Bramlage	102 0.6×	62 0.6×	137 1.5×	70 0.9×	120 1.5×	41	586
Danuta Fedak	83 0.5×	55 0.5×	109 1.2×	105 1.3×	140 1.8×	43	614
Murat Turgay	119 0.7×	45 0.4×	61 0.7×	28 0.3×	102 1.3×	74	574
Gyula Szegedi	176 1.0×	64 0.6×	63 0.7×	18 0.2×	56 0.7×	46	600
Fernando Martínez‐Valle	116 0.7×	101 1.0×	131 1.4×	27 0.3×	90 1.2×	55	557

Countries citing papers authored by Akinori Maeda

Since Specialization

Citations

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

Fields of papers citing papers by Akinori Maeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akinori Maeda

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