Kengo Maeda

3.9k citations
128 papers · 2.6k · h-index 27

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 5
    • Ion channel regulation and function 5
    • Botulinum Toxin and Related Neurological Disorders 12

Kengo Maeda

127 papers receiving 2.6k citations

Peers

Kengo Maeda
Comparison fields: 5 of 149
  • Physiology 518
  • Cellular and Molecular Neuroscience 376
  • Neurology 207
  • Developmental Neuroscience 54
  • Neurology 107
Replace Matthias Orth with:
Matthias Orth Germany
Yuichi NAKAZATO Japan
Paul R. Territo United States
Toke Bek Denmark
Erik N.T.P. Bakker Netherlands
Marco Meloni United Kingdom
Kunihiko Tanaka Japan
Kathryn White United Kingdom
Masafumi Ogawa Japan
Shoko Nioka United States
Kengo Maeda relative to Matthias Orth Germany Matthias Orth's profile →
Citations per field
00.5×1.5×
Matthias Orth · 1×
Citations per year

Countries citing papers authored by Kengo Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Kengo Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kengo 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 Kengo Maeda Line = papers co-authored together Kengo Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003203
2 2008187
3 2007148
4 2006125
5 2004110
6 2015101
7 201783
8 200776
9 200263
10 200660
11 199858
12 201156
13 199150
14 200349
15 201148
16 200646
17 201244
18 199643
19 200339
20 201136

About Kengo Maeda

Kengo Maeda is a scholar working on Molecular Biology, Neurology, Physiology, Cellular and Molecular Neuroscience and Surgery, having authored 128 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (15 papers), Botulinum Toxin and Related Neurological Disorders (12 papers), Nerve injury and regeneration (9 papers), Ophthalmology and Eye Disorders (7 papers), Angiogenesis and VEGF in Cancer (5 papers), Neurobiology of Language and Bilingualism (5 papers), Ion channel regulation and function (5 papers) and Spatial Neglect and Hemispheric Dysfunction (5 papers). The work is most often cited by research in Physiology (518 citations), Cellular and Molecular Neuroscience (376 citations), Neurology (207 citations), Developmental Neuroscience (54 citations) and Neurology (107 citations). Kengo Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hitoshi Yasuda, Toyoaki Murohara, Atsunori Kashiwagi, Mitsuru Sanada, Masahide Takahashi, Ryuichi Kikkawa, Atsushi Enomoto, Takahisa Kondo, Masahiko Terada and Naoya Asai. Their work appears in journals such as Circulation Journal, Neuroreport, Journal of High Energy Physics, Biochemical and Biophysical Research Communications and Journal of Molecular and Cellular Cardiology.

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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