Kōji Shimizu
- Cognitive Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Ichiro OdaSatoru KohnoKazuhiro TakeoSeiichiro IsobeMasako OkamotoTateo SuzukiHaruka DanKaoru Kohyama
- Topics
- Hemoglobinopathies and Related Disorders (22 papers)Machine Learning in Materials Science (11 papers)Iron Metabolism and Disorders (9 papers)
- Journals
- Nucleic Acids ResearchThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesPhilippines
In The Last Decade
Kōji Shimizu
151 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cognitive Neuroscience 1.2k
- Radiology, Nuclear Medicine and Imaging 996
- Biomedical Engineering 765
- Molecular Biology 394
- Cardiology and Cardiovascular Medicine 392
Countries citing papers authored by Kōji Shimizu
This map shows the geographic impact of Kōji 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 Kōji Shimizu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kōji Shimizu more than expected).
Fields of papers citing papers by Kōji Shimizu
This network shows the impact of papers produced by Kōji 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 Kōji Shimizu. The network helps show where Kōji Shimizu may publish in the future.
Co-authorship network of co-authors of Kōji Shimizu
This figure shows the co-authorship network connecting the top 25 collaborators of Kōji Shimizu. A scholar is included among the top collaborators of Kōji 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 Kōji Shimizu. Kōji 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 | 2 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 7 | |
| 7 | 23 | |
| 8 | 16 | |
| 9 | 14 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 28 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 0 | |
| 17 | 7 | |
| 18 | Transfer Function Matrix Measurement of AWG Multi/Demulti-Plexers | 0 |
| 19 | 5 | |
| 20 | 2 |
About Kōji Shimizu
Kōji Shimizu is a scholar working on Genetics, Fuel Technology and Hematology, having authored 163 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (22 papers), Machine Learning in Materials Science (11 papers) and Iron Metabolism and Disorders (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Radiology, Nuclear Medicine and Imaging (996 citations) and Neurology (195 citations). Kōji Shimizu has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Ichiro Oda, Satoru Kohno, Kazuhiro Takeo, Seiichiro Isobe, Masako Okamoto, Tateo Suzuki, Haruka Dan, Kaoru Kohyama, Ippeita Dan and Akihiro Ishikawa. Their work appears in journals such as Nucleic Acids Research, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.