Tsuyoshi Furuya

2.5k citations
50 papers · 2.0k indexed · 1 hit paper · h-index 15
Topics
Neuroinflammation and Neurodegeneration Mechanisms (4 papers)Autophagy in Disease and Therapy (4 papers)Immunotoxicology and immune responses (3 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Tsuyoshi Furuya

47 papers receiving 1.9k citations

Hit Papers

Beclin1 Controls the Levels of p53 by Regulating the Deub...20112026201620212011200400600

Peers

Tsuyoshi Furuya
Comparison fields: 5 of 119
  • Epidemiology 851
  • Molecular Biology 810
  • Neurology 327
  • Neurology 300
  • Cell Biology 286
Replace Hua She with:
Hua She United States
Gordon P. Meares United States
Hayato Takeuchi Japan
Guanghong Liao United States
Vincent Soubannier Canada
Yoshio Bandô Japan
Eleanna Stamatakou United Kingdom
Urmi Bandyopadhyay United States
Gian‐Luca McLelland Canada
Harald Frankowski United States
Tsuyoshi Furuya relative to Hua She United States Hua She's profile →
Citations per field
00.5×1.5×
Hua She · 1×
Citations per year

Countries citing papers authored by Tsuyoshi Furuya

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Furuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Furuya

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Furuya. A scholar is included among the top collaborators of Tsuyoshi Furuya 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 Tsuyoshi Furuya. Tsuyoshi Furuya 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 0
2 18
3
Beclin1 Controls the Levels of p53 by Regulating the Deubiquitination Activity of USP10 and USP13breakdown →
659
4 9
5 5
6 5
7 15
8 40
9 104
10 100
11 194
12 26
13 17
14 17
15 20
16 9
17 14
18
THE LONG-TERM TOXICOLOGICAL STUDY OF NIVALENOL IN MICE
2
19 13
20 2

About Tsuyoshi Furuya

Tsuyoshi Furuya is a scholar working on Developmental Neuroscience, Neurology and Biochemistry, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Autophagy in Disease and Therapy (4 papers) and Immunotoxicology and immune responses (3 papers). The work is most often cited by research in Neurology (327 citations), Physiology (137 citations) and Epidemiology (851 citations). Tsuyoshi Furuya has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Junying Yuan, Hideki Mochizuki, Yoshikuni Mizuno, Bruce A. Yankner, Tao Lu, Minsu Kim, Marcy E. MacDonald, Tamotsu Yoshimori, Noboru Mizushima and Mamoru Shibata. Their work appears in journals such as Cell, Journal of Biological Chemistry 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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