Kazuyoshi Ueno

2.2k citations
34 papers · 1.9k indexed · 1 hit paper · h-index 13
Topics
Glycosylation and Glycoproteins Research (7 papers)Cell death mechanisms and regulation (3 papers)Salivary Gland Tumors Diagnosis and Treatment (3 papers)

In The Last Decade

Kazuyoshi Ueno

33 papers receiving 1.8k citations

Hit Papers

Conversion of Bcl-2 to a Bax-like Death Effector by Caspases19972026200620161997250500750

Peers

Kazuyoshi Ueno
Comparison fields: 5 of 103
  • Molecular Biology 1.3k
  • Oncology 343
  • Immunology 339
  • Epidemiology 279
  • Cancer Research 223
Replace Lucie Fransen with:
Lucie Fransen Belgium
J Uriel France
Birgit Fehrenbacher Germany
Nobuo Kondoh Japan
Gangqiao Zhou China
Howard R. Katz United States
Murielle Masson France
Hsuan Liu Taiwan
Yongyan Wu China
Chia‐Jung Yu Taiwan
Kazuyoshi Ueno relative to Lucie Fransen Belgium Lucie Fransen's profile →
Citations per field
00.5×1.5×
Lucie Fransen · 1×
Citations per year

Countries citing papers authored by Kazuyoshi Ueno

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyoshi Ueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuyoshi Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuyoshi Ueno. A scholar is included among the top collaborators of Kazuyoshi Ueno 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 Kazuyoshi Ueno. Kazuyoshi Ueno 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 12
2 1
3 9
4 94
5 39
6 47
7 19
8 7
9 21
10 27
11 1
12 8
13 18
14 21
15 2
16 10
17
[Familial outbreak with hypersensitivity pneumonitis].
3
18
[A case of sub-acute subdural hematoma associated with a calcified subdural hematoma (author's transl)].
4
19 2
20
[Electron microscopy of the uveal tract].
3

About Kazuyoshi Ueno

Kazuyoshi Ueno is a scholar working on Otorhinolaryngology, Microbiology and Immunology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Cell death mechanisms and regulation (3 papers) and Salivary Gland Tumors Diagnosis and Treatment (3 papers). The work is most often cited by research in Otorhinolaryngology (123 citations), Molecular Biology (1.3k citations) and Immunology (339 citations). Kazuyoshi Ueno has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include J. Marie Hardwick, David G. Kirsch, Michael B. Kastan, Rollie J. Clem, Emily H. Cheng, Atul Bedi, Rajani Ravi, Atsushi Takahashi, Christopher L. Karp and Diane E. Griffin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

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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