M. Matsuo

506 citations
16 papers · 357 indexed · h-index 8
Topics
DNA Repair Mechanisms (2 papers)Antimicrobial Resistance in Staphylococcus (2 papers)Cold Atom Physics and Bose-Einstein Condensates (1 paper)
Partner nations
JapanNetherlandsRomania

In The Last Decade

M. Matsuo

16 papers receiving 346 citations

Peers

M. Matsuo
Comparison fields: 5 of 97
  • Molecular Biology 119
  • Infectious Diseases 95
  • Environmental Chemistry 53
  • Aerospace Engineering 49
  • Genetics 36
Replace Timofey Skvortsov with:
Timofey Skvortsov United Kingdom
Farbod Mahmoudinobar United States
Peter Setlow United States
Ravikrishnan Elangovan India
Carmen Li Hong Kong
Robert Jepras United Kingdom
Akshay Datey India
Veronica Worrell United States
Atsushi Tabata Japan
Alexander McFarland United States
M. Matsuo relative to Timofey Skvortsov United Kingdom Timofey Skvortsov's profile →
Citations per field
00.5×5.4×
Timofey Skvortsov · 1×
Citations per year

Countries citing papers authored by M. Matsuo

Since Specialization
Citations

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

Fields of papers citing papers by M. Matsuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1
PRACTICAL APPLICATION OF NEAR-INFRARED SPECTROSCOPY FOR DETERMINING RICE AMYLOSE CONTENT AT GRAIN ELEVATOR
1
2 3
3 3
4 181
5 14
6 34
7 9
8 47
9 7
10
Renal parenchymal malakoplakia in a four-week-old infant.
9
11 3
12 4
13 15
14
Congenital insensitivity to pain with anhidrosis in a 2-month-old boy.
24
15 1
16
[Urolithiasis during treatment of carbonic anhydrase inhibitors].
2

About M. Matsuo

M. Matsuo is a scholar working on Process Chemistry and Technology, Pharmaceutical Science and Infectious Diseases, having authored 16 papers that have together received 357 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Cold Atom Physics and Bose-Einstein Condensates (1 paper). The work is most often cited by research in Molecular Medicine (31 citations), Drug Discovery (1 citation) and Environmental Chemistry (53 citations). M. Matsuo has collaborated with scholars based in Japan, Netherlands and Romania. Frequent co-authors include Yuki Katayama, Yuh Morimoto, Tadashi Baba, Takashi Sasaki, Atsuko Sekiguchi, Keiichi Hiramatsu, T. Shimazaki, Yūji Yoshida, Takaji Akiya and Kazuhisa Sekimizu. Their work appears in journals such as SHILAP Revista de lepidopterología, Antimicrobial Agents and Chemotherapy and British Journal of Dermatology.

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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