Tetsuo AKIBA

430 total citations
26 papers, 339 citations indexed

About

Tetsuo AKIBA is a scholar working on Pharmacology, Complementary and alternative medicine and Molecular Biology. According to data from OpenAlex, Tetsuo AKIBA has authored 26 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 6 papers in Complementary and alternative medicine and 4 papers in Molecular Biology. Recurrent topics in Tetsuo AKIBA's work include Pharmacological Effects of Natural Compounds (8 papers), Plant-based Medicinal Research (3 papers) and Ginkgo biloba and Cashew Applications (3 papers). Tetsuo AKIBA is often cited by papers focused on Pharmacological Effects of Natural Compounds (8 papers), Plant-based Medicinal Research (3 papers) and Ginkgo biloba and Cashew Applications (3 papers). Tetsuo AKIBA collaborates with scholars based in Japan, United States and Russia. Tetsuo AKIBA's co-authors include Masaaki Nomura, Koiçhi Yokogawa, Shuzo Moritani, Ken‐ichi Miyamoto, Shinjiro Kobayashi, Naoto Nagata, Megumi Sumino, Fumio Ikegami, Tetsuo Satoh and Yuichi Fujii and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of the American Geriatrics Society and Biochemical Pharmacology.

In The Last Decade

Tetsuo AKIBA

21 papers receiving 325 citations

Peers

Tetsuo AKIBA
Comparison fields: 5 of 79
  • Molecular Biology 127
  • Pharmacology 77
  • Physiology 60
  • Complementary and alternative medicine 57
  • Pharmacology 48
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Citations per field, relative to Tetsuo AKIBA
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Citations per year, relative to Tetsuo AKIBA
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Countries citing papers authored by Tetsuo AKIBA

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo AKIBA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo AKIBA

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo AKIBA. A scholar is included among the top collaborators of Tetsuo AKIBA 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 Tetsuo AKIBA. Tetsuo AKIBA 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 1
2 0
3 0
4 7
5 5
6 0
7 6
8 3
9 46
10
Involvement of ABC transporters in chemosensitivity of human renal cell carcinoma, and regulation of MRP2 expression by conjugated bilirubin.
13
11 2
12 72
13 32
14 1
15
[A case of SLE-like syndrome and severe hemolytic anemia caused by methyldopa].
2
16 14
17 7
18 10
19 1
20
On the destructive invasion of a new species, Bacterium candidodestruens into Candida cells.
2

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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