A. Tamura

32 papers receiving 1.5k citations

Peers

A. Tamura
Comparison fields: 5 of 107
  • Parasitology 623
  • Structural Biology 28
  • Surfaces, Coatings and Films 89
  • Atomic and Molecular Physics, and Optics 357
  • Insect Science 140
Replace Karin Seifert with:
Karin Seifert United Kingdom
Linda Turner United States
James A. Dvorak United States
Günter Schmahl Germany
Sanjay Kumar India
Shin‐ichiro Narita Japan
Bo Hu United States
C. Bazin France
Dennis C. Winkler United States
Karl‐Heinz Müller Australia
A. Tamura relative to Karin Seifert United Kingdom Karin Seifert's profile →
Citations per field
00.5×4.0×
Karin Seifert · 1×
Citations per year

Countries citing papers authored by A. Tamura

Since Specialization
Citations

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

Fields of papers citing papers by A. Tamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Tamura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Tamura Line = papers co-authored together A. Tamura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995276
2 1982206
3 2008134
4 1992100
5 198589
6 198678
7 198878
8 198775
9 198856
10 198355
11 199054
12 199149
13 198740
14 198328
15 199326
16
[Easy method for infectivity titration of Rickettsia tsutsugamushi by infected cell counting (author's transl)].
198124
17 199120
18 198619
19 199119
20 199717

About A. Tamura

A. Tamura is a scholar working on Molecular Biology, Parasitology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Plant Science, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (9 papers), Genomics and Phylogenetic Studies (6 papers), Plant Pathogenic Bacteria Studies (5 papers), Advanced Physical and Chemical Molecular Interactions (3 papers), Material Dynamics and Properties (3 papers), Electron and X-Ray Spectroscopy Techniques (3 papers), Physics of Superconductivity and Magnetism (3 papers) and Advanced Chemical Physics Studies (3 papers). The work is most often cited by research in Parasitology (623 citations), Structural Biology (28 citations), Surfaces, Coatings and Films (89 citations), Atomic and Molecular Physics, and Optics (357 citations) and Insect Science (140 citations). A. Tamura has collaborated with scholars based in Japan and South Korea. Frequent co-authors include T. Ichinokawa, Hiroshi Urakami, Norio Ohashi, Naohito Ohashi, S Miyamura, Satoshi Miura, Shota Yamamoto, Koichi Kato, H Nashimoto and Hiroyuki Ikeda. Their work appears in journals such as Journal of Clinical Microbiology, Physical review. B, Condensed matter, Infection and Immunity, IEEE Transactions on Applied Superconductivity and Surface Science.

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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