Asuka Naito

2.5k citations
18 papers · 2.1k indexed · 1 hit paper · h-index 13
Topics
NF-κB Signaling Pathways (6 papers)Immune Response and Inflammation (5 papers)Bone Metabolism and Diseases (3 papers)

In The Last Decade

Asuka Naito

16 papers receiving 2.0k citations

Hit Papers

Severe osteopetrosis, defective interleukin‐1 signalling ...19992026200820171999100200300400500

Peers

Asuka Naito
Comparison fields: 5 of 98
  • Molecular Biology 1.3k
  • Cancer Research 835
  • Immunology 791
  • Oncology 666
  • Rheumatology 129
Replace Elizabeth W. Bradley with:
Elizabeth W. Bradley United States
Claudia Korn Germany
Xiaoyun Xing United States
Peter Lembessis Greece
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Maribel Parra Spain
Haishan Lin China
Alan Tseng United States
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Asuka Naito relative to Elizabeth W. Bradley United States Elizabeth W. Bradley's profile →
Citations per field
00.5×4.0×
Elizabeth W. Bradley · 1×
Citations per year

Countries citing papers authored by Asuka Naito

Since Specialization
Citations

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

Fields of papers citing papers by Asuka Naito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asuka Naito

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 6
2 21
3 8
4 126
5 1
6 81
7 11
8 23
9 45
10 36
11 199
12 14
13 152
14 403
15 47
16
Depression in COPD Patients
1
17 371
18
Severe osteopetrosis, defective interleukin‐1 signalling and lymph node organogenesis in TRAF6‐deficient micebreakdown →
528

About Asuka Naito

Asuka Naito is a scholar working on Cancer Research, Urology and Endocrine and Autonomic Systems, having authored 18 papers that have together received 2.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (6 papers), Immune Response and Inflammation (5 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Cancer Research (835 citations), Immunology (791 citations) and Oncology (666 citations). Asuka Naito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Jun‐ichiro Inoue, Sakura Azuma, Sakae Tanaka, Norihiko Kobayashi, Tadashi Yamamoto, Tadashi Yamamoto, Kunihiro Matsumoto, Yuho Kadono, Nobuo Tsukamoto and Takaomi Ishida. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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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