Itaru Nakamura

140 total papers · 1.9k total citations
95 papers, 1.2k citations indexed

About

Itaru Nakamura is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Itaru Nakamura has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Infectious Diseases, 19 papers in Epidemiology and 17 papers in Surgery. Recurrent topics in Itaru Nakamura's work include Bacterial biofilms and quorum sensing (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers) and COVID-19 and Mental Health (8 papers). Itaru Nakamura is often cited by papers focused on Bacterial biofilms and quorum sensing (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers) and COVID-19 and Mental Health (8 papers). Itaru Nakamura collaborates with scholars based in Japan, United States and Germany. Itaru Nakamura's co-authors include Tetsuya Matsumoto, Hidehiro Watanabe, Masaki Machida, Yuko Odagiri, Hiroyuki Kikuchi, Shigeru Inoue, Reiko Saito, Takako Kojima, Shinji Fukushima and Tomoko Takamiya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Kidney International.

In The Last Decade

Itaru Nakamura

82 papers receiving 1.2k citations

Hit Papers

Acceptance of a COVID-19 ... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Itaru Nakamura 423 286 212 190 163 95 1.2k
Christopher K.C. Lai 546 1.3× 336 1.2× 205 1.0× 80 0.4× 189 1.2× 66 1.4k
Jasmine R Marcelin 299 0.7× 190 0.7× 251 1.2× 200 1.1× 70 0.4× 73 1.5k
Hiroyuki Kunishima 493 1.2× 170 0.6× 382 1.8× 78 0.4× 113 0.7× 101 1.5k
Claudia Marotta 421 1.0× 109 0.4× 238 1.1× 195 1.0× 140 0.9× 61 1.5k
Jia Hu 489 1.2× 355 1.2× 234 1.1× 96 0.5× 150 0.9× 70 1.2k
Muhammad Junaid Tahir 346 0.8× 270 0.9× 105 0.5× 162 0.9× 107 0.7× 125 1.3k
Muhammad Salman 268 0.6× 118 0.4× 252 1.2× 250 1.3× 130 0.8× 122 1.4k
Birgitte Freiesleben de Blasio 429 1.0× 99 0.3× 406 1.9× 72 0.4× 243 1.5× 79 1.4k
Nimalie D. Stone 528 1.2× 107 0.4× 504 2.4× 128 0.7× 115 0.7× 70 1.4k
İnci Yıldırım 475 1.1× 300 1.0× 687 3.2× 51 0.3× 155 1.0× 92 1.5k

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

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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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