Hidekazu Nishimura

4.3k citations
243 papers · 3.3k · h-index 32

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Viral gastroenteritis research and epidemiology

Papers in

Hidekazu Nishimura

227 papers receiving 3.2k citations

Peers

Hidekazu Nishimura
Comparison fields: 5 of 154
  • Epidemiology 1.9k
  • Infectious Diseases 861
  • Immunology 522
  • Agronomy and Crop Science 240
  • Cardiology and Cardiovascular Medicine 379
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Citations per field
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Citations per year

Countries citing papers authored by Hidekazu Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Hidekazu Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hidekazu Nishimura, 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 Hidekazu Nishimura Line = papers co-authored together Hidekazu Nishimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004348
2 2006130
3 2012128
4 1999110
5 1992105
6 200986
7 201472
8 201067
9 201565
10 200255
11 198650
12 200748
13 200647
14 200546
15 200744
16 201643
17 199442
18 199142
19 198740
20 199339

About Hidekazu Nishimura

Hidekazu Nishimura is a scholar working on Control and Systems Engineering, Epidemiology, Automotive Engineering, Civil and Structural Engineering and Mechanical Engineering, having authored 243 papers that have together received 3.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (53 papers), Influenza Virus Research Studies (50 papers), Vehicle Dynamics and Control Systems (34 papers), Dynamics and Control of Mechanical Systems (30 papers), Vibration Control and Rheological Fluids (28 papers), Vibration and Dynamic Analysis (19 papers), Viral gastroenteritis research and epidemiology (19 papers) and Human-Automation Interaction and Safety (13 papers). The work is most often cited by research in Epidemiology (1.9k citations), Infectious Diseases (861 citations), Immunology (522 citations), Agronomy and Crop Science (240 citations) and Cardiology and Cardiovascular Medicine (379 citations). Hidekazu Nishimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kanetsu Sugawara, Yoko Matsuzaki, Katsumi Mizuta, Fumio Kitame, Michiko Okamoto, Noriko Katsushima, Kiyoshi Takagi, Tsutomu Itagaki, Seiji Hongo and Kiyoto Nakamura. Their work appears in journals such as Journal of Virology, Journal of General Virology, Journal of Medical Virology, Virology and Journal of Clinical Microbiology.

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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