Itaru Nakamura

2.0k citations
95 papers · 1.3k indexed · 1 hit paper · h-index 19
Topics
Bacterial biofilms and quorum sensing (9 papers)COVID-19 and Mental Health (8 papers)Antibiotic Resistance in Bacteria (8 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsKidney International
Partner nations
JapanUnited StatesFrance

In The Last Decade

Itaru Nakamura

82 papers receiving 1.2k citations

Hit Papers

Acceptance of a COVID-19 Vaccine in Japan during the COVI...2021202620222024202150100150200

Peers

Itaru Nakamura
Comparison fields: 5 of 130
  • Infectious Diseases 429
  • Health 289
  • Epidemiology 215
  • Clinical Psychology 190
  • Modeling and Simulation 164
Replace Hiroyuki Kunishima with:
Hiroyuki Kunishima Japan
Boris Ehrenstein Germany
J. Gary Wheeler United States
Sara A. Mirza United States
Hye Seong South Korea
Christopher K.C. Lai Hong Kong
Jia Hu Canada
Helen Maguire United Kingdom
Manas K. Akmatov Germany
Stéphanie Black United States
Itaru Nakamura relative to Hiroyuki Kunishima Japan Hiroyuki Kunishima's profile →
Citations per field
00.5×1.5×2.4×
Hiroyuki Kunishima · 1×
Citations per year

Countries citing papers authored by Itaru Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Itaru Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itaru Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Itaru Nakamura. A scholar is included among the top collaborators of Itaru Nakamura 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 Itaru Nakamura. Itaru Nakamura 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 2
2 10
3 1
4 0
5 3
6 4
7 15
8 2
9 8
10 4
11 0
12 9
13 32
14 3
15 0
16 81
17 4
18 79
19 2
20 0

About Itaru Nakamura

Itaru Nakamura is a scholar working on Microbiology, Infectious Diseases and Molecular Medicine, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (9 papers), COVID-19 and Mental Health (8 papers) and Antibiotic Resistance in Bacteria (8 papers). The work is most often cited by research in Modeling and Simulation (164 citations), Health (289 citations) and Microbiology (25 citations). Itaru Nakamura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Tetsuya Matsumoto, Hidehiro Watanabe, Yuko Odagiri, Masaki Machida, Hiroyuki Kikuchi, Shigeru Inoue, Reiko Saito, Takako Kojima, Shinji Fukushima and Noritoshi Fukushima. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Kidney International.

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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