Tetsuo Maeda

11 total papers · 487 total citations
10 papers, 407 citations indexed

About

Tetsuo Maeda is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tetsuo Maeda has authored 10 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tetsuo Maeda's work include Lipoproteins and Cardiovascular Health (2 papers), Virus-based gene therapy research (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). Tetsuo Maeda is often cited by papers focused on Lipoproteins and Cardiovascular Health (2 papers), Virus-based gene therapy research (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). Tetsuo Maeda collaborates with scholars based in Japan and Morocco. Tetsuo Maeda's co-authors include Hiroshi Sakaue, Wataru Ogawa, Tadahiro Kitamura, Masato Kasuga, Hiroaki Konishi, Masafumi Takata, Ushio Kikkawa, Yasuhisa Hino, Shoji Kuroda and Michihiro Matsumoto and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical Journal and CHEST Journal.

In The Last Decade

Tetsuo Maeda

9 papers receiving 400 citations

Author Peers

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

Author Last Decade Papers Cites
Tetsuo Maeda 286 89 69 57 55 10 407
Jun Liu 318 1.1× 73 0.8× 95 1.4× 58 1.0× 44 0.8× 16 452
Samira Alliouachene 248 0.9× 80 0.9× 82 1.2× 69 1.2× 60 1.1× 9 397
Amelia Y.I. Viana 268 0.9× 102 1.1× 79 1.1× 42 0.7× 91 1.7× 7 418
Pontus Larsson 257 0.9× 95 1.1× 63 0.9× 45 0.8× 26 0.5× 10 474
Johanna Guzman 174 0.6× 74 0.8× 46 0.7× 47 0.8× 63 1.1× 8 431
Frances Moore 371 1.3× 83 0.9× 70 1.0× 45 0.8× 54 1.0× 11 465
Ivan Carcamo‐Orive 242 0.8× 47 0.5× 86 1.2× 23 0.4× 66 1.2× 14 427
Maneet Singh 185 0.6× 72 0.8× 164 2.4× 79 1.4× 52 0.9× 11 391
Shelby Gorman 270 0.9× 59 0.7× 95 1.4× 29 0.5× 27 0.5× 11 438
Tamadher A. Alghamdi 226 0.8× 41 0.5× 50 0.7× 94 1.6× 77 1.4× 12 447

Countries citing papers authored by Tetsuo Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Maeda

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