M. Sakamoto

495 citations
15 papers · 402 indexed · h-index 9
Topics
Viral gastroenteritis research and epidemiology (3 papers)Viral Infections and Immunology Research (2 papers)Herpesvirus Infections and Treatments (2 papers)
Partner nations
Japan

In The Last Decade

M. Sakamoto

10 papers receiving 373 citations

Peers

M. Sakamoto
Comparison fields: 5 of 65
  • Infectious Diseases 275
  • Cardiology and Cardiovascular Medicine 161
  • Epidemiology 91
  • Agronomy and Crop Science 72
  • Animal Science and Zoology 69
Replace Audrey Cilli with:
Audrey Cilli Brazil
Gabriele Buttinelli Italy
You Ueki Japan
M. Gilgen Switzerland
Pooja R. Patil India
Osayuki Morita Japan
Jen-Shiou Lin Taiwan
Svetlana Kaijalainen Finland
F. A. Lewis Australia
M. Sakamoto relative to Audrey Cilli Brazil Audrey Cilli's profile →
Citations per field
00.5×2.9×
Audrey Cilli · 1×
Citations per year

Countries citing papers authored by M. Sakamoto

Since Specialization
Citations

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

Fields of papers citing papers by M. Sakamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sakamoto

This figure shows the co-authorship network connecting the top 25 collaborators of M. Sakamoto. A scholar is included among the top collaborators of M. Sakamoto 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 M. Sakamoto. M. Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 0
6 139
7 10
8
[An anesthesia machine malfunction due to dew condensation produced by abnormally high humidity in the electronically-controlled panel].
1
9 10
10 25
11
Effect and follow-up study on varicella vaccine.
18
12 97
13 23
14 66
15 13

About M. Sakamoto

M. Sakamoto is a scholar working on Hepatology, Infectious Diseases and Obstetrics and Gynecology, having authored 15 papers that have together received 402 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (3 papers), Viral Infections and Immunology Research (2 papers) and Herpesvirus Infections and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (275 citations), Agronomy and Crop Science (72 citations) and Cardiology and Cardiovascular Medicine (161 citations). M. Sakamoto has collaborated with scholars based in Japan. Frequent co-authors include Noriko Katsushima, Hiroshi Suzuki, S Kitaoka, N. Ishida, Tomoko Kutsuzawa, Aki Imai, Tsukasa Murata, Seiji Hongo, Katsumi Mizuta and Chieko Abiko. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

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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