Kazuko Goto

2.1k total citations
34 papers, 1.8k citations indexed

About

Kazuko Goto is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Kazuko Goto has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 12 papers in Epidemiology. Recurrent topics in Kazuko Goto's work include Autophagy in Disease and Therapy (11 papers), Cardiac Fibrosis and Remodeling (8 papers) and Signaling Pathways in Disease (4 papers). Kazuko Goto is often cited by papers focused on Autophagy in Disease and Therapy (11 papers), Cardiac Fibrosis and Remodeling (8 papers) and Signaling Pathways in Disease (4 papers). Kazuko Goto collaborates with scholars based in Japan, Norway and Poland. Kazuko Goto's co-authors include Genzou Takemura, Shinya Minatoguchi, Hisayoshi Fujiwara, Takako Fujiwara, Hiromitsu Kanamori, Akiko Tsujimoto, Rumi Maruyama, Atsushi Ogino, Takatomo Watanabe and Tomonori Kawaguchi and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Research.

In The Last Decade

Kazuko Goto

33 papers receiving 1.8k citations

Peers

Kazuko Goto
Comparison fields: 5 of 96
  • Molecular Biology 723
  • Epidemiology 647
  • Cardiology and Cardiovascular Medicine 592
  • Surgery 354
  • Pathology and Forensic Medicine 207
Replace Akiko Tsujimoto with:
Akiko Tsujimoto Japan
Ismail Sergin United States
Dian J. Cao United States
Isamu Mizote Japan
Masayuki Taniike Japan
Junbo Ge China
Kangkai Wang China
Tomonori Kawaguchi Japan
Yasunori Shintani Japan
Lixin Jia China
Akiko Tsujimoto Japan View profile →
Citations per field, relative to Kazuko Goto
Kazuko Goto · 1×
Citations per year, relative to Kazuko Goto
Kazuko Goto · 1×

Countries citing papers authored by Kazuko Goto

Since Specialization
Citations

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

Fields of papers citing papers by Kazuko Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuko Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuko Goto. A scholar is included among the top collaborators of Kazuko Goto 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 Kazuko Goto. Kazuko Goto 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
# Work Indexed citations
1 50
2 2
3 30
4 12
5
Abstract 10979: Impairment of Autophagic Flux in Doxorubicin Cardiotoxicity and Its Restoration and Improvement of Cardiac Function by Prior Starvation
1
6 131
7 140
8 17
9 12
10 169
11 30
12 41
13 8
14 17
15 11
16 97
17 32
18 5
19 20
20 43

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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