Hidehiko Akiyama

439 citations
22 papers · 311 indexed · h-index 8
Topics
Andrographolide Research and Applications (3 papers)Fungal Biology and Applications (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
Journals
SHILAP Revista de lepidopterologíaThe EMBO JournalBlood
Partner nations
JapanSpainGermany

In The Last Decade

Hidehiko Akiyama

19 papers receiving 294 citations

Peers

Hidehiko Akiyama
Comparison fields: 5 of 84
  • Molecular Biology 130
  • Pharmacology 77
  • Organic Chemistry 62
  • Pharmaceutical Science 47
  • Immunology 41
Replace Jianbo Wu with:
Jianbo Wu China
Inés Maestro Spain
Indu R. Chandrashekaran Australia
Jacques Ferté France
Moghis U. Ahmad India
Ravi Rawat India
Weifan Jiang China
Yue An China
Mark W. Ledeboer United States
Takahiro Katoh Japan
Hidehiko Akiyama relative to Jianbo Wu China Jianbo Wu's profile →
Citations per field
00.5×5.9×
Jianbo Wu · 1×
Citations per year

Countries citing papers authored by Hidehiko Akiyama

Since Specialization
Citations

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

Fields of papers citing papers by Hidehiko Akiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidehiko Akiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiko Akiyama. A scholar is included among the top collaborators of Hidehiko Akiyama 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 Hidehiko Akiyama. Hidehiko Akiyama 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
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6 16
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9 23
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11 18
12 2
13 44
14 59
15 1
16 72
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A synergistic increase of apoptosis utilizing Fas antigen expression induced by low doses of anticancer drug.
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18 7
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[Evaluation of cytarabine-induced apoptosis in leukemic cell lines; utility of annexin V method].
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About Hidehiko Akiyama

Hidehiko Akiyama is a scholar working on Complementary and alternative medicine, Pharmaceutical Science and Hematology, having authored 22 papers that have together received 311 indexed citations. Recurring topics across this work include Andrographolide Research and Applications (3 papers), Fungal Biology and Applications (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Pharmaceutical Science (47 citations), Pharmacology (40 citations) and Pharmacology (77 citations). Hidehiko Akiyama has collaborated with scholars based in Japan, Spain and Germany. Frequent co-authors include Taei Matsui, Hubert Kolb, Volker Burkart, Etsuko Tokunaga, Takaaki Koike, Norio Shibata, Hidehiko Beppu, Masahiro Endo, Christiane Habich and Karina Kempe. Their work appears in journals such as SHILAP Revista de lepidopterología, The EMBO Journal and Blood.

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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