Akiko Honda

6.3k citations
141 papers · 5.1k indexed · h-index 33
Topics
Air Quality and Health Impacts (37 papers)Climate Change and Health Impacts (19 papers)Heavy Metal Exposure and Toxicity (18 papers)

In The Last Decade

Akiko Honda

135 papers receiving 4.9k citations

Peers

Akiko Honda
Comparison fields: 5 of 168
  • Molecular Biology 1.7k
  • Pharmacology 1.3k
  • Health, Toxicology and Mutagenesis 826
  • Physiology 814
  • Genetics 587
Replace Shing‐Hwa Liu with:
Shing‐Hwa Liu Taiwan
Abraham Z. Reznick Israel
Hajime Nawata Japan
Ryoichi Takayanagi Japan
José E. Tanus‐Santos Brazil
Michael D. Delp United States
Rakesh Shukla India
Krzysztof Safranow Poland
Stephen R. Thom United States
Mark F. McCarty United States
Akiko Honda relative to Shing‐Hwa Liu Taiwan Shing‐Hwa Liu's profile →
Citations per field
00.5×1.5×2.0×
Shing‐Hwa Liu · 1×
Citations per year

Countries citing papers authored by Akiko Honda

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Honda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Honda

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Honda. A scholar is included among the top collaborators of Akiko 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 Akiko Honda. Akiko 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 2
2 0
3 17
4 41
5 9
6 6
7 6
8 21
9 150
10 10
11
〈Originals〉 A Few Separated Jump Training Sessions Three Times Per Week Increase Bone Strength in Rats
1
12 0
13 18
14 41
15
Varying Interval between Loading Within 24 hours did not Influence on the Osteogenic Response to Jump Exercise in Rats
2
16
Physical and Psychosocial Conditions of Senior Citizens Living Alone : Comparisons with Regard to the Ages and the Reasons for Living Alone
1
17 16
18 36
19 22
20 3

About Akiko Honda

Akiko Honda is a scholar working on Health, Toxicology and Mutagenesis, Orthopedics and Sports Medicine and Physiology, having authored 141 papers that have together received 5.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (37 papers), Climate Change and Health Impacts (19 papers) and Heavy Metal Exposure and Toxicity (18 papers). The work is most often cited by research in Pharmacology (1.3k citations), Health, Toxicology and Mutagenesis (826 citations) and Biochemistry (349 citations). Akiko Honda has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Yukihiko Sugimoto, Masahiko Negishi, Atsushi Ichikawa, Shuh Narumiya, Toshiyuki Namba, Akiko Watabe, Yoshihisa Umemura, Hirohisa Takano, Akinobu Irie and Yasunori Hayashi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and Gastroenterology.

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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