Haruka Kobayashi
- General Health Professions top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Applied Psychology top 10%
- Cardiology and Cardiovascular Medicine
- Public Health, Environmental and Occupational Health
- Co-authors
- Kayo WakiHideo FujitaKazuhiko OheTakashi KadowakiShigeko KatoYuji UchimuraEiji AramakiFuminobu Ishikura
- Topics
- Tuberculosis Research and Epidemiology (5 papers)Mycobacterium research and diagnosis (5 papers)Ultrasound and Hyperthermia Applications (4 papers)
In The Last Decade
Haruka Kobayashi
17 papers receiving 291 citations
Peers
Comparison fields: 5 of 74
- General Health Professions 182
- Endocrinology, Diabetes and Metabolism 100
- Applied Psychology 58
- Cardiology and Cardiovascular Medicine 44
- Public Health, Environmental and Occupational Health 43
Countries citing papers authored by Haruka Kobayashi
This map shows the geographic impact of Haruka Kobayashi'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 Haruka Kobayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haruka Kobayashi more than expected).
Fields of papers citing papers by Haruka Kobayashi
This network shows the impact of papers produced by Haruka Kobayashi. 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 Haruka Kobayashi. The network helps show where Haruka Kobayashi may publish in the future.
Co-authorship network of co-authors of Haruka Kobayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Haruka Kobayashi. A scholar is included among the top collaborators of Haruka Kobayashi 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 Haruka Kobayashi. Haruka Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 32 | |
| 11 | 6 | |
| 12 | 30 | |
| 13 | 154 | |
| 14 | Finding Load Profile Primitives by using Independent Component Analysis | 1 |
| 15 | [Efficacy of intravenous myocardial contrast echocardiography for assessment of perfusion area of the heart in mice]. | 3 |
| 16 | 48 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 |
About Haruka Kobayashi
Haruka Kobayashi is a scholar working on Family Practice, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 295 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (5 papers) and Ultrasound and Hyperthermia Applications (4 papers). The work is most often cited by research in Applied Psychology (58 citations), Family Practice (18 citations) and General Health Professions (182 citations). Haruka Kobayashi has collaborated with scholars based in Japan, Indonesia and Egypt. Frequent co-authors include Kayo Waki, Hideo Fujita, Kazuhiko Ohe, Takashi Kadowaki, Shigeko Kato, Yuji Uchimura, Eiji Aramaki, Fuminobu Ishikura, Kazuhide Takeuchi and Junichi Yoshikawa. Their work appears in journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.
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.