Tomomi Shimizu
- Infectious Diseases top 5%
- Animal Science and Zoology top 5%
- Insect Science top 5%
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Co-authors
- Masahiko KurokawaWataru WatanabeRie SawamuraAkihide RyoYong Kun ParkHirokazu KimuraKazuhiko KatayamaYuki Matsushima
- Topics
- Influenza Virus Research Studies (5 papers)Viral gastroenteritis research and epidemiology (4 papers)Respiratory viral infections research (4 papers)
In The Last Decade
Tomomi Shimizu
39 papers receiving 847 citations
Peers
Comparison fields: 5 of 104
- Infectious Diseases 268
- Animal Science and Zoology 126
- Insect Science 121
- Cardiology and Cardiovascular Medicine 116
- Molecular Biology 113
Countries citing papers authored by Tomomi Shimizu
This map shows the geographic impact of Tomomi Shimizu'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 Tomomi Shimizu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomomi Shimizu more than expected).
Fields of papers citing papers by Tomomi Shimizu
This network shows the impact of papers produced by Tomomi Shimizu. 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 Tomomi Shimizu. The network helps show where Tomomi Shimizu may publish in the future.
Co-authorship network of co-authors of Tomomi Shimizu
This figure shows the co-authorship network connecting the top 25 collaborators of Tomomi Shimizu. A scholar is included among the top collaborators of Tomomi Shimizu 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 Tomomi Shimizu. Tomomi Shimizu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | [Sequential changes in inflammatory and stress responses during 24-hour running]. | 3 |
| 11 | 0 | |
| 12 | 50 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 41 | |
| 16 | 25 | |
| 17 | 17 | |
| 18 | 20 | |
| 19 | Effect of dihydroergotoxine on activities of beta-receptor stimulators. | 0 |
| 20 | Studies on the Experimental Infection of Swine with Human influenza Virus, FM1 Strain. | 1 |
About Tomomi Shimizu
Tomomi Shimizu is a scholar working on Behavioral Neuroscience, Complementary and alternative medicine and Environmental Chemistry, having authored 46 papers that have together received 874 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Infectious Diseases (268 citations), Behavioral Neuroscience (47 citations) and Animal Science and Zoology (126 citations). Tomomi Shimizu has collaborated with scholars based in Japan, Brazil and Australia. Frequent co-authors include Masahiko Kurokawa, Wataru Watanabe, Rie Sawamura, Akihide Ryo, Yong Kun Park, Hirokazu Kimura, Kazuhiko Katayama, Yuki Matsushima, Ken Yasukawa and Mariko Ishikawa. Their work appears in journals such as Neurology, Biochemical and Biophysical Research Communications and Medicine & Science in Sports & Exercise.
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.