Takashi Kudo

8.9k citations
180 papers · 6.5k indexed · 1 hit paper · h-index 45
Topics
Alzheimer's disease research and treatments (53 papers)Endoplasmic Reticulum Stress and Disease (27 papers)Autophagy in Disease and Therapy (14 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Takashi Kudo

174 papers receiving 6.3k citations

Hit Papers

Involvement of caspase-4 in endoplasmic reticulum stress-...20042026201120182004200400600

Peers

Takashi Kudo
Comparison fields: 5 of 172
  • Molecular Biology 2.9k
  • Cell Biology 2.1k
  • Physiology 1.6k
  • Epidemiology 1.1k
  • Cellular and Molecular Neuroscience 760
Replace Taiichi Katayama with:
Taiichi Katayama Japan
Min Goo Lee South Korea
Ju‐Hyun Lee South Korea
Masatoshi Takeda Japan
Miguel Medina Spain
Stephen R. Plymate United States
Nicholas T. Seyfried United States
Mayumi Kimura Japan
Shuichi Ueno Japan
Zheng Li China
Takashi Kudo relative to Taiichi Katayama Japan Taiichi Katayama's profile →
Citations per field
00.5×1.7×
Taiichi Katayama · 1×
Citations per year

Countries citing papers authored by Takashi Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Kudo

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kudo. A scholar is included among the top collaborators of Takashi Kudo 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 Takashi Kudo. Takashi Kudo 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 0
3 1
4 3
5 7
6 5
7 3
8 30
9 12
10 32
11 94
12 0
13 1
14 238
15 11
16 449
17 8
18 2
19 47
20
Spinal neurenteric cyst. Report of two cases and review of forty-one cases reported in Japan.
62

About Takashi Kudo

Takashi Kudo is a scholar working on Biological Psychiatry, Cell Biology and Physiology, having authored 180 papers that have together received 6.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (53 papers), Endoplasmic Reticulum Stress and Disease (27 papers) and Autophagy in Disease and Therapy (14 papers). The work is most often cited by research in Cell Biology (2.1k citations), Biological Psychiatry (245 citations) and Physiology (1.6k citations). Takashi Kudo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masatoshi Takeda, Kazunori Imaizumi, Taiichi Katayama, Masaya Tohyama, Junichi Hitomi, Takashi Morihara, Takayuki Manabe, Manabu Taniguchi, Baoxue Chen and Mamoru Iso. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Applied Physics Letters.

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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