Takeyasu Maeda

220 papers receiving 4.2k citations

Peers

Takeyasu Maeda
Comparison fields: 5 of 127
  • Oral Surgery 800
  • Orthodontics 259
  • Urology 354
  • Cellular and Molecular Neuroscience 868
  • Complementary and Manual Therapy 105
Replace Yoshiro Takano with:
Yoshiro Takano Japan
Margaret R. Byers United States
Kojiro Kurisu Japan
Ze’ev Davidovitch United States
Thimios A. Mitsiadis Switzerland
Tetsuya Goto Japan
Masaru Yamaguchi Japan
Xiaoxing Kou China
R.S.B. Liem Netherlands
Keiji Moriyama Japan
Takeyasu Maeda relative to Yoshiro Takano Japan Yoshiro Takano's profile →
Citations per field
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Yoshiro Takano · 1×
Citations per year

Countries citing papers authored by Takeyasu Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Takeyasu Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takeyasu Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takeyasu Maeda Line = papers co-authored together Takeyasu Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000105
2 1987105
3 1988102
4 200498
5 200597
6 200493
7 200893
8 200479
9 198973
10 200370
11 199868
12 201162
13 198962
14 200957
15 200956
16 200356
17 200355
18 199355
19 201853
20 200452

About Takeyasu Maeda

Takeyasu Maeda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Rheumatology, Physiology and Genetics, having authored 223 papers that have together received 4.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (26 papers), dental development and anomalies (24 papers), Neuropeptides and Animal Physiology (23 papers), Bone and Dental Protein Studies (20 papers), Bone Tissue Engineering Materials (19 papers), Connexins and lens biology (19 papers), Pain Mechanisms and Treatments (18 papers) and S100 Proteins and Annexins (17 papers). The work is most often cited by research in Oral Surgery (800 citations), Orthodontics (259 citations), Urology (354 citations), Cellular and Molecular Neuroscience (868 citations) and Complementary and Manual Therapy (105 citations). Takeyasu Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hayato Ohshima, Toshihiko Iwanaga, Norio Amizuka, Osamu Sato, Kayoko Nozawa‐Inoue, Yoshiro Takano, Shígeo Kobayashi, Tsuneo Fujita, Kimimitsu Oda and Yoshiro Kawano. Their work appears in journals such as Archives of Oral Biology, Brain Research, Journal of Anatomy, The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology and Cell and Tissue Research.

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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