Kengo Uemura

2.6k citations
58 papers · 2.1k indexed · h-index 31
Topics
Alzheimer's disease research and treatments (32 papers)Wnt/β-catenin signaling in development and cancer (8 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)

In The Last Decade

Kengo Uemura

56 papers receiving 2.1k citations

Peers

Kengo Uemura
Comparison fields: 5 of 102
  • Physiology 979
  • Molecular Biology 911
  • Cellular and Molecular Neuroscience 559
  • Neurology 329
  • Neurology 312
Replace Michael S. Perkinton with:
Michael S. Perkinton United Kingdom
Shaoli Che United States
Arne Ittner Australia
Amadeus Gladbach Australia
Pascal Kienlen‐Campard Belgium
Giuseppina Tesco United States
Giuseppina Amadoro Italy
Mian Bi Australia
Hans Zempel Germany
Jiro Takano Japan
Kengo Uemura relative to Michael S. Perkinton United Kingdom Michael S. Perkinton's profile →
Citations per field
00.5×1.5×2.4×
Michael S. Perkinton · 1×
Citations per year

Countries citing papers authored by Kengo Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Kengo Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kengo Uemura

This figure shows the co-authorship network connecting the top 25 collaborators of Kengo Uemura. A scholar is included among the top collaborators of Kengo Uemura 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 Kengo Uemura. Kengo Uemura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 34
3 11
4 12
5 30
6 121
7 52
8 26
9 94
10 92
11 10
12 56
13 43
14 25
15 85
16 20
17 93
18 9
19 50
20 41

About Kengo Uemura

Kengo Uemura is a scholar working on Cellular and Molecular Neuroscience, Microbiology and Physiology, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (32 papers), Wnt/β-catenin signaling in development and cancer (8 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Neurology (329 citations), Physiology (979 citations) and Biological Psychiatry (88 citations). Kengo Uemura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shun Shimohama, Ayae Kinoshita, Ryōsuke Takahashi, Akira Kuzuya, Takeshi Kihara, Oksana Berezovska, Masato Maesako, Megumi Asada‐Utsugi, Kiwamu Watanabe and Masakazu Kubota. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

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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