Naoki Nozaki
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Immunology top 5%
- Epidemiology top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Isao KubotaYasuchika TakeishiTetsuro ShishidoTakanori ArimotoJoji NitobeTakeshi NiizekiOsamu HironoYo Koyama
- Topics
- Cardiovascular Function and Risk Factors (11 papers)Cardiac electrophysiology and arrhythmias (8 papers)Cardiac Fibrosis and Remodeling (6 papers)
- Journals
- CirculationBiochemical and Biophysical Research CommunicationsThe Journal of Infectious Diseases
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Naoki Nozaki
31 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 95
- Cardiology and Cardiovascular Medicine 902
- Molecular Biology 493
- Immunology 436
- Epidemiology 260
- Pathology and Forensic Medicine 193
Countries citing papers authored by Naoki Nozaki
This map shows the geographic impact of Naoki Nozaki'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 Naoki Nozaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoki Nozaki more than expected).
Fields of papers citing papers by Naoki Nozaki
This network shows the impact of papers produced by Naoki Nozaki. 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 Naoki Nozaki. The network helps show where Naoki Nozaki may publish in the future.
Co-authorship network of co-authors of Naoki Nozaki
This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Nozaki. A scholar is included among the top collaborators of Naoki Nozaki 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 Naoki Nozaki. Naoki Nozaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 3 | |
| 3 | 85 | |
| 4 | 30 | |
| 5 | 102 | |
| 6 | 27 | |
| 7 | 63 | |
| 8 | 71 | |
| 9 | Serum heart-type fatty acid binding protein predicts cardiac events in elderly patients with chronic heart failure. | 14 |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 18 | |
| 13 | 16 | |
| 14 | 20 | |
| 15 | 106 | |
| 16 | 5 | |
| 17 | 187 | |
| 18 | 19 | |
| 19 | 54 | |
| 20 | Two Types of soluble Tumor Necrosis Factor (TNF) Receptors Are Increased in Relation to Severity in Heart Failure | 1 |
About Naoki Nozaki
Naoki Nozaki is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology and Pathology and Forensic Medicine, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (11 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Cardiac Fibrosis and Remodeling (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (902 citations), Immunology (436 citations) and Nephrology (132 citations). Naoki Nozaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Isao Kubota, Yasuchika Takeishi, Tetsuro Shishido, Takanori Arimoto, Joji Nitobe, Takeshi Niizeki, Osamu Hirono, Yo Koyama, Jesús G. Vallejo and Pascal Knuefermann. Their work appears in journals such as Circulation, Biochemical and Biophysical Research Communications and The Journal of Infectious Diseases.
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.