Akio Hayashi

2.0k citations
71 papers · 1.5k indexed · h-index 22
Topics
Viral Infections and Immunology Research (7 papers)Viral gastroenteritis research and epidemiology (7 papers)Virus-based gene therapy research (6 papers)
Journals
NatureThe Journal of Experimental MedicineSHILAP Revista de lepidopterología
Partner nations
JapanBrazilUnited States

In The Last Decade

Akio Hayashi

63 papers receiving 1.5k citations

Peers

Akio Hayashi
Comparison fields: 5 of 113
  • Molecular Biology 398
  • Epidemiology 365
  • Infectious Diseases 357
  • Cardiology and Cardiovascular Medicine 259
  • Genetics 221
Replace Arjan S. de Jong with:
Arjan S. de Jong Netherlands
Robert M. Powell United Kingdom
M. Paula Longhi United Kingdom
Rubén P. Laguens Argentina
Michiaki Koga Japan
Masao Ogata Japan
Dirk Homann United States
Oliver Dienz United States
Lillian Maggio‐Price United States
Akio Hayashi relative to Arjan S. de Jong Netherlands Arjan S. de Jong's profile →
Citations per field
00.5×3.9×
Arjan S. de Jong · 1×
Citations per year

Countries citing papers authored by Akio Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Akio Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Hayashi. A scholar is included among the top collaborators of Akio Hayashi 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 Akio Hayashi. Akio Hayashi 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 23
2 1
3 14
4 0
5 8
6 1
7 14
8 21
9 28
10 13
11 7
12 16
13 16
14 11
15 14
16 34
17 10
18 32
19 11
20 27

About Akio Hayashi

Akio Hayashi is a scholar working on Infectious Diseases, Immunology and Epidemiology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (7 papers), Viral gastroenteritis research and epidemiology (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Infectious Diseases (357 citations), Hematology (134 citations) and Cardiology and Cardiovascular Medicine (259 citations). Akio Hayashi has collaborated with scholars based in Japan, Brazil and United States. Frequent co-authors include Hiroaki Ishiko, Yasushi Shimada, Shudo Yamazaki, Naokazu Takeda, Hideto Tamura, Meinoshin Okumura, Kazuo Dan, Kíyoyuki Ogata, Osamu Hashimoto and Kenji Sakae. Their work appears in journals such as Nature, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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