Hitomi Narita
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Surgery
- Co-authors
- Nobuyuki OhteGenjiro KimuraSachie AkitaJunichiro HayanoKaoru AsadaKazuaki WakamiHidekatsu FukutaToshihiko Goto
- Topics
- Cardiovascular Function and Risk Factors (29 papers)Cardiac Imaging and Diagnostics (21 papers)Cardiac Valve Diseases and Treatments (11 papers)
- Partner nations
- Japan
In The Last Decade
Hitomi Narita
35 papers receiving 762 citations
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 565
- Radiology, Nuclear Medicine and Imaging 340
- Pulmonary and Respiratory Medicine 121
- Molecular Biology 107
- Surgery 93
Countries citing papers authored by Hitomi Narita
This map shows the geographic impact of Hitomi Narita'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 Hitomi Narita with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitomi Narita more than expected).
Fields of papers citing papers by Hitomi Narita
This network shows the impact of papers produced by Hitomi Narita. 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 Hitomi Narita. The network helps show where Hitomi Narita may publish in the future.
Co-authorship network of co-authors of Hitomi Narita
This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Narita. A scholar is included among the top collaborators of Hitomi Narita 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 Hitomi Narita. Hitomi Narita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Abstract 17070: Impact of Cardiac Beta-adrenergic Receptor Density Evaluated by Cardiac PET on Chronotropic Incompetence | 1 |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 73 | |
| 6 | 174 | |
| 7 | 32 | |
| 8 | Why Does Left Ventricular Endocardial Strain Reach around 100% at End-systole Although Myocardial Fibers Contract Up to Only 20%?(New Ultrasound Technique (I), The 69th Annual Scientific Meeting of the Japanese Circulation Society) | 3 |
| 9 | 113 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 40 | |
| 13 | 6 | |
| 14 | 5 | |
| 15 | 52 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 1 | |
| 20 | 4 |
About Hitomi Narita
Hitomi Narita is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 775 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (29 papers), Cardiac Imaging and Diagnostics (21 papers) and Cardiac Valve Diseases and Treatments (11 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (565 citations), Radiology, Nuclear Medicine and Imaging (340 citations) and Microbiology (4 citations). Hitomi Narita has collaborated with scholars based in Japan. Frequent co-authors include Nobuyuki Ohte, Genjiro Kimura, Sachie Akita, Junichiro Hayano, Kaoru Asada, Kazuaki Wakami, Hidekatsu Fukuta, Toshihiko Goto, Seiji Mukai and Takeshi Hashimoto. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.
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.