Akihide Tanimoto

6.4k total citations
262 papers, 4.9k citations indexed

About

Akihide Tanimoto is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Akihide Tanimoto has authored 262 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 56 papers in Surgery and 55 papers in Oncology. Recurrent topics in Akihide Tanimoto's work include Glioma Diagnosis and Treatment (16 papers), Nitric Oxide and Endothelin Effects (15 papers) and Cancer Genomics and Diagnostics (15 papers). Akihide Tanimoto is often cited by papers focused on Glioma Diagnosis and Treatment (16 papers), Nitric Oxide and Endothelin Effects (15 papers) and Cancer Genomics and Diagnostics (15 papers). Akihide Tanimoto collaborates with scholars based in Japan, United States and China. Akihide Tanimoto's co-authors include Yasuyuki Sasaguri, Tetsuo Hamada, Ke‐Yong Wang, Shohei Shimajiri, Sohsuke Yamada, Masato Tsutsui, Yoshitaka Murata, Kimitoshi Kohno, Nobuyuki Yanagihara and Hiromi Tasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Akihide Tanimoto

248 papers receiving 4.8k citations

Peers

Akihide Tanimoto
Comparison fields: 5 of 132
  • Molecular Biology 1.7k
  • Oncology 852
  • Immunology 836
  • Surgery 785
  • Cancer Research 743
Replace Mario Romano with:
Mario Romano Italy
Li Ma China
Jörn Karhausen United States
Yoshiyuki Rikitake Japan
Jinhua Li China
Tetsuaki Hirase Japan
Hidemi Yoshida Japan
Michael A. McNutt China
Andrew A. Protter United States
Sabina Janciauskiene Sweden
Mario Romano Italy View profile →
Citations per field, relative to Akihide Tanimoto
Akihide Tanimoto · 1×
Citations per year, relative to Akihide Tanimoto
Akihide Tanimoto · 1×

Countries citing papers authored by Akihide Tanimoto

Since Specialization
Citations

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

Fields of papers citing papers by Akihide Tanimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihide Tanimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Akihide Tanimoto. A scholar is included among the top collaborators of Akihide Tanimoto 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 Akihide Tanimoto. Akihide Tanimoto 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 0
2 0
3 1
4 2
5 0
6 1
7 5
8 7
9 3
10 62
11 4
12 6
13 2
14 26
15 11
16
Novel microminipig model of atherosclerosis by high fat and high cholesterol diet, established in Japan.
43
17 64
18 120
19
Multi-functional Roles of Granulocyte Macrophage Colony-Stimulating Factor in Atherosclerosis
1
20 1

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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