Tsuyoshi Akiyoshi

637 citations
9 papers · 545 indexed · h-index 8
Topics
Amino Acid Enzymes and Metabolism (2 papers)Polyamine Metabolism and Applications (2 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper)
Partner nations
Japan

In The Last Decade

Tsuyoshi Akiyoshi

9 papers receiving 537 citations

Peers

Tsuyoshi Akiyoshi
Comparison fields: 5 of 70
  • Oncology 250
  • Molecular Biology 179
  • Cancer Research 159
  • Surgery 140
  • Pulmonary and Respiratory Medicine 117
Replace Edlyn Soeth with:
Edlyn Soeth Germany
K Mafune Japan
Kinya Baba Japan
Rosemary Jeffery United Kingdom
S. Nordling Finland
Iwao Yabuuchi Japan
Motoko Seto Japan
R.P.E. Pauwels Netherlands
Qingfeng Ni China
Koelina Ganguly United States
Tsuyoshi Akiyoshi relative to Edlyn Soeth Germany Edlyn Soeth's profile →
Citations per field
00.5×1.5×
Edlyn Soeth · 1×
Citations per year

Countries citing papers authored by Tsuyoshi Akiyoshi

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Akiyoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Akiyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Akiyoshi. A scholar is included among the top collaborators of Tsuyoshi Akiyoshi 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 Tsuyoshi Akiyoshi. Tsuyoshi Akiyoshi 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 16
2 6
3 83
4 16
5 8
6
Detection of cancer micrometastases in lymph nodes by reverse transcriptase-polymerase chain reaction.
320
7 11
8 33
9
Inhibitory effects of estrogen on the growth of a human esophageal carcinoma cell line.
52

About Tsuyoshi Akiyoshi

Tsuyoshi Akiyoshi is a scholar working on Biochemistry, Cancer Research and Hepatology, having authored 9 papers that have together received 545 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (2 papers), Polyamine Metabolism and Applications (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Cancer Research (159 citations), Oncology (250 citations) and Immunology and Allergy (27 citations). Tsuyoshi Akiyoshi has collaborated with scholars based in Japan. Frequent co-authors include Ueo H, Shigeru Nanbara, Koshi Mimori, K. Tsuji, G F Barnard, Masaki Mori, Hideki Inoue, Hiroaki Ueo, Masaru Haraguchi and Kinya Baba. Their work appears in journals such as Cancer, International Journal of Cancer and Diseases of the Colon & Rectum.

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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