Azusa Kage

518 total citations
29 papers, 385 citations indexed

About

Azusa Kage is a scholar working on Condensed Matter Physics, Physiology and Molecular Biology. According to data from OpenAlex, Azusa Kage has authored 29 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Condensed Matter Physics, 7 papers in Physiology and 6 papers in Molecular Biology. Recurrent topics in Azusa Kage's work include Micro and Nano Robotics (7 papers), Oral microbiology and periodontitis research (5 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Azusa Kage is often cited by papers focused on Micro and Nano Robotics (7 papers), Oral microbiology and periodontitis research (5 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Azusa Kage collaborates with scholars based in Germany, Japan and United States. Azusa Kage's co-authors include E. Köttgen, J.‐P. Bernimoulin, R Tauber, Stefan Hägewald, W. Hopfenmüller, Yoshihiro Mogami, Rainer Seemann, Mozhgan Bizhang, Heiko Witt and W. A. P. Luck and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biosensors and Bioelectronics.

In The Last Decade

Azusa Kage

27 papers receiving 368 citations

Peers

Azusa Kage
Comparison fields: 5 of 107
  • Periodontics 111
  • Physiology 96
  • Molecular Biology 74
  • Biomedical Engineering 59
  • Condensed Matter Physics 43
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Zsanett Csoma Hungary
Jeffrey N. Hausfeld United States
Taichi Ito Japan
S. Yoneda Japan
Gülsüm Gençoğlan Türkiye
Paul D. Slowey United States
Norikazu Ohno Japan
Abikshyeet Panda India
Adriano Azaripour Germany
P. Mercier France
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Citations per field, relative to Azusa Kage
Azusa Kage · 1×
Citations per year, relative to Azusa Kage
Azusa Kage · 1×

Countries citing papers authored by Azusa Kage

Since Specialization
Citations

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

Fields of papers citing papers by Azusa Kage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azusa Kage

This figure shows the co-authorship network connecting the top 25 collaborators of Azusa Kage. A scholar is included among the top collaborators of Azusa Kage 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 Azusa Kage. Azusa Kage 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
# Work Indexed citations
1 0
2 21
3 5
4 11
5 35
6 11
7 11
8 40
9 23
10 5
11 1
12 16
13 12
14 40
15 5
16 23
17
Oligosaccharides in mucosal host defense: model, method, and first data.
2
18
[Apolipoprotein E typology and dementia].
1
19 52
20 15

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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