Takefumi Nojiri
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Cancer Research
- Molecular Biology
- Co-authors
- Ryozo NagaiKoji MaemuraYasushi ImaiDaiji KawanamiNorihiko TakedaTomohiro HaradaIchiro ManabeKazunori Utsunomiya
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (3 papers)Cancer, Hypoxia, and Metabolism (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)
- Partner nations
- Japan
In The Last Decade
Takefumi Nojiri
12 papers receiving 687 citations
Peers
Comparison fields: 5 of 80
- Epidemiology 346
- Cardiology and Cardiovascular Medicine 194
- Physiology 184
- Cancer Research 149
- Molecular Biology 139
Countries citing papers authored by Takefumi Nojiri
This map shows the geographic impact of Takefumi Nojiri'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 Takefumi Nojiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takefumi Nojiri more than expected).
Fields of papers citing papers by Takefumi Nojiri
This network shows the impact of papers produced by Takefumi Nojiri. 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 Takefumi Nojiri. The network helps show where Takefumi Nojiri may publish in the future.
Co-authorship network of co-authors of Takefumi Nojiri
This figure shows the co-authorship network connecting the top 25 collaborators of Takefumi Nojiri. A scholar is included among the top collaborators of Takefumi Nojiri 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 Takefumi Nojiri. Takefumi Nojiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 15 | |
| 3 | 57 | |
| 4 | 15 | |
| 5 | Development of a Pioneering Clinical Support System Utilizing Information Technology: Clinical Informatics and Genome Analysis:Clinical Informatics and Genome Analysis | 0 |
| 6 | 388 | |
| 7 | 1 | |
| 8 | 137 | |
| 9 | 1 | |
| 10 | Direct Proatherogenic Effect of C-Reactive Protein on Vascular Endothelial Cells | 1 |
| 11 | 57 | |
| 12 | 17 | |
| 13 | 12 |
About Takefumi Nojiri
Takefumi Nojiri is a scholar working on Cancer Research, Health Information Management and Cell Biology, having authored 13 papers that have together received 714 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (84 citations), Epidemiology (346 citations) and Cancer Research (149 citations). Takefumi Nojiri has collaborated with scholars based in Japan. Frequent co-authors include Ryozo Nagai, Koji Maemura, Yasushi Imai, Daiji Kawanami, Norihiko Takeda, Tomohiro Harada, Ichiro Manabe, Kazunori Utsunomiya, Tetsuya Saito and Minoru Ohno. Their work appears in journals such as Circulation Research, Biochemical and Biophysical Research Communications and Atherosclerosis.
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.