Akira Honda

10.8k citations
270 papers · 7.6k indexed · 1 hit paper · h-index 43
Topics
Cholesterol and Lipid Metabolism (63 papers)Drug Transport and Resistance Mechanisms (44 papers)Liver Disease Diagnosis and Treatment (31 papers)

In The Last Decade

Akira Honda

261 papers receiving 7.4k citations

Hit Papers

Phosphatidylinositol 4-Phosphate 5-Kinase α Is a Downstre...19992026200820171999200400600

Peers

Akira Honda
Comparison fields: 5 of 163
  • Molecular Biology 3.6k
  • Surgery 2.1k
  • Cell Biology 1.2k
  • Oncology 1.1k
  • Physiology 852
Replace Shing‐Hwa Liu with:
Shing‐Hwa Liu Taiwan
Sei Sasaki Japan
Yan Chen China
Gerardo Gamba Mexico
Masaaki Takahashi Japan
Søren Nielsen Denmark
Magdalena Juhaszova United States
Norbert Weißmann Germany
Ralph T. Schermuly Germany
Yasuo Takahashi Japan
Akira Honda relative to Shing‐Hwa Liu Taiwan Shing‐Hwa Liu's profile →
Citations per field
00.5×1.5×
Shing‐Hwa Liu · 1×
Citations per year

Countries citing papers authored by Akira Honda

Since Specialization
Citations

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

Fields of papers citing papers by Akira Honda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Honda

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Honda. A scholar is included among the top collaborators of Akira Honda 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 Akira Honda. Akira Honda 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
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 2
6 1
7 4
8 4
9 19
10 55
11 14
12
Reactive-transport model analyses of bentonite alteration behavior at alkaline condition generated by cement-water interaction in a TRU wastes repository
3
13 94
14 1
15 1
16 15
17 1
18 70
19 2
20 2

About Akira Honda

Akira Honda is a scholar working on Hepatology, Oncology and Surgery, having authored 270 papers that have together received 7.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (63 papers), Drug Transport and Resistance Mechanisms (44 papers) and Liver Disease Diagnosis and Treatment (31 papers). The work is most often cited by research in Sensory Systems (377 citations), Cell Biology (1.2k citations) and Molecular Biology (3.6k citations). Akira Honda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tadashi Ikegami, Yasushi Matsuzaki, Teruo Miyazaki, Julie G. Donaldson, Sarah Shefer, Guorong Xu, Ryuji Inoue, Gerald Salen, Takeshi Hirayama and Junichi Iwamoto. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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