Seikichi Tsuboi

1.3k citations
9 papers · 1.1k indexed · 1 hit paper · h-index 5
Topics
Estrogen and related hormone effects (4 papers)Hormonal and reproductive studies (1 paper)Stress Responses and Cortisol (1 paper)
Journals
SHILAP Revista de lepidopterologíaThe Journal of Cell BiologyCancer
Partner nations
Japan

In The Last Decade

Seikichi Tsuboi

9 papers receiving 1.0k citations

Hit Papers

Autophagy in yeast demonstrated with proteinase-deficient...19922026200320141992250500750

Peers

Seikichi Tsuboi
Comparison fields: 5 of 90
  • Epidemiology 648
  • Molecular Biology 569
  • Cell Biology 382
  • Plant Science 135
  • Physiology 60
Replace Koichiro Takeshige with:
Koichiro Takeshige Japan
Ralf Egner Austria
Keisuke Mochida Japan
Masami Matsubae Japan
Jean‐Claude Farré United States
Junko Ishii Japan
Kyohei Umebayashi Japan
Wei-Lien Yen United States
Shanta Nag United States
Andrea Gubaš Germany
Seikichi Tsuboi relative to Koichiro Takeshige Japan Koichiro Takeshige's profile →
Citations per field
00.5×1.5×
Koichiro Takeshige · 1×
Citations per year

Countries citing papers authored by Seikichi Tsuboi

Since Specialization
Citations

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

Fields of papers citing papers by Seikichi Tsuboi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seikichi Tsuboi

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Autophagy in yeast demonstrated with proteinase-deficient mutants and conditions for its induction.breakdown →
974
2 11
3
Detection of aflatoxin B1 in serum samples of male Japanese subjects by radioimmunoassay and high-performance liquid chromatography.
33
4 3
5 13
6 13
7 1
8 1
9 2

About Seikichi Tsuboi

Seikichi Tsuboi is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Genetics, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Hormonal and reproductive studies (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Cell Biology (382 citations), Epidemiology (648 citations) and Aging (30 citations). Seikichi Tsuboi has collaborated with scholars based in Japan. Frequent co-authors include Takeshi Noda, Koichiro Takeshige, Yoshinori Ohsumi, Toshitaro Nakagawa, Masahiro Tomita, Takuo Fujita, Koji Kawamura, Noboru Sakamoto, Toru Masaoka and Masaaki Fukase. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Cancer.

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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