Takako Ishii

534 total citations
16 papers, 431 citations indexed

About

Takako Ishii is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Takako Ishii has authored 16 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cell Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Physiology. Recurrent topics in Takako Ishii's work include Adipose Tissue and Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers) and Virus-based gene therapy research (2 papers). Takako Ishii is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers) and Virus-based gene therapy research (2 papers). Takako Ishii collaborates with scholars based in Japan and United States. Takako Ishii's co-authors include Kazuwa Nakao, Ken Ebihara, Kiminori Hosoda, Hiroaki Masuzaki, Naoki Arai, Shintaro Yasue, Tomohiro Tanaka, Junji Fujikura, Tsutomu Tomita and Michio Noguchi and has published in prestigious journals such as Journal of Biological Chemistry, Cell Metabolism and Analytical Biochemistry.

In The Last Decade

Takako Ishii

12 papers receiving 416 citations

Peers

Takako Ishii
Comparison fields: 5 of 73
  • Molecular Biology 131
  • Physiology 114
  • Endocrinology, Diabetes and Metabolism 101
  • Epidemiology 77
  • Cardiology and Cardiovascular Medicine 63
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Mark Struve United States
Mary Collison United Kingdom
Alice Bongrani France
Tao Tao China
E Lundin Sweden
Rafael Montes‐Nieto Spain
Svetlana Ivanović‐Matić Serbia
Frank Gonzales United States
Barbara Mlinar Slovenia
Júlio C Fraulob-Aquino Canada
Mark Struve United States View profile →
Citations per field, relative to Takako Ishii
Takako Ishii · 1×
Citations per year, relative to Takako Ishii
Takako Ishii · 1×

Countries citing papers authored by Takako Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Takako Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takako Ishii

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 11
3 30
4 92
5 0
6 52
7 87
8 46
9 32
10 55
11 0
12 0
13 0
14 15
15 3
16 7

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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