Tetsuyo Maeda

51 total papers · 444 total citations
26 papers, 338 citations indexed

About

Tetsuyo Maeda is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Biological Psychiatry. According to data from OpenAlex, Tetsuyo Maeda has authored 26 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Biological Psychiatry. Recurrent topics in Tetsuyo Maeda's work include Cancer-related cognitive impairment studies (5 papers), Tryptophan and brain disorders (5 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). Tetsuyo Maeda is often cited by papers focused on Cancer-related cognitive impairment studies (5 papers), Tryptophan and brain disorders (5 papers) and Cancer, Stress, Anesthesia, and Immune Response (3 papers). Tetsuyo Maeda collaborates with scholars based in Japan, United States and Russia. Tetsuyo Maeda's co-authors include T. Kawamata, Y. Katayama, Tatsuro Mori, Kenichi Sakurai, Sadao Amano, Katsuhisa Enomoto, Yoko Nakanishi, T. Tsubokawa, Norimichi Nemoto and Takahiro Suzuki and has published in prestigious journals such as Cancer Research, Brain Research and Toxicology.

In The Last Decade

Tetsuyo Maeda

25 papers receiving 336 citations

Author Peers

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

Author Last Decade Papers Cites
Tetsuyo Maeda 104 86 78 56 39 26 338
Yaru Zhou 111 1.1× 83 1.0× 41 0.5× 36 0.6× 41 1.1× 28 378
Jo‐Fen Liu 72 0.7× 62 0.7× 44 0.6× 51 0.9× 39 1.0× 35 349
Yevgen Chornenkyy 146 1.4× 45 0.5× 50 0.6× 95 1.7× 20 0.5× 22 385
Manabu Nagata 123 1.2× 60 0.7× 37 0.5× 63 1.1× 107 2.7× 31 395
Jialiang Hui 113 1.1× 60 0.7× 92 1.2× 34 0.6× 34 0.9× 30 394
Laura Amaducci 132 1.3× 158 1.8× 86 1.1× 24 0.4× 58 1.5× 23 348
Yuxue Sun 136 1.3× 34 0.4× 43 0.6× 33 0.6× 31 0.8× 24 339
Jiayu Li 104 1.0× 52 0.6× 27 0.3× 38 0.7× 29 0.7× 37 376
Fang Cui 131 1.3× 41 0.5× 47 0.6× 64 1.1× 32 0.8× 46 347
Yan Wang 102 1.0× 51 0.6× 41 0.5× 39 0.7× 101 2.6× 18 344

Countries citing papers authored by Tetsuyo Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuyo Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuyo Maeda

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