Kazuma Sakamoto

2.4k citations
43 papers · 1.9k indexed · 1 hit paper · h-index 20
Topics
Proteoglycans and glycosaminoglycans research (19 papers)Nerve injury and regeneration (15 papers)Glycosylation and Glycoproteins Research (5 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Kazuma Sakamoto

43 papers receiving 1.9k citations

Hit Papers

Minocycline selectively inhibits M1 polarization of micro...20132026201720212013100200300400500

Peers

Kazuma Sakamoto
Comparison fields: 5 of 106
  • Molecular Biology 662
  • Neurology 491
  • Cellular and Molecular Neuroscience 428
  • Cell Biology 366
  • Genetics 353
Replace Kolja Wawrowsky with:
Kolja Wawrowsky United States
Kouko Tatsumi Japan
Jane Loughlin United Kingdom
Samuel Sam Wah Tay Singapore
Miriam E. van Strien Netherlands
Ayal Ben‐Zvi Israel
Carola Krüger Germany
Azin Agah United States
Dritan Agalliu United States
Steven Petratos Australia
Kazuma Sakamoto relative to Kolja Wawrowsky United States Kolja Wawrowsky's profile →
Citations per field
00.5×1.5×2.4×
Kolja Wawrowsky · 1×
Citations per year

Countries citing papers authored by Kazuma Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by Kazuma Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuma Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuma Sakamoto. A scholar is included among the top collaborators of Kazuma Sakamoto 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 Kazuma Sakamoto. Kazuma Sakamoto 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 1
2 13
3 5
4 5
5 3
6 11
7 11
8 18
9 9
10 22
11 23
12
Minocycline selectively inhibits M1 polarization of microgliabreakdown →
594
13 21
14 50
15 7
16 52
17 75
18 16
19 416
20 24

About Kazuma Sakamoto

Kazuma Sakamoto is a scholar working on Aging, Cell Biology and Cellular and Molecular Neuroscience, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (19 papers), Nerve injury and regeneration (15 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Neurology (491 citations), Biological Psychiatry (108 citations) and Developmental Neuroscience (163 citations). Kazuma Sakamoto has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Kenji Kadomatsu, Shiro Imagama, Naoki Ishiguro, Tomohiro Ohgomori, Ken‐ichi Hirano, Kenji Uchimura, Kazuyoshi Kobayashi, Akihiro Hirakawa, Hideyuki Takeuchi and Akio Suzumura. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation 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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