Hikaru Nishimura
- Cardiology and Cardiovascular Medicine top 5%
- Surgery
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Physiology
- Co-authors
- Keishiro KawamuraJiro KubotaShinichiro KuboShota IkegamiMasashi UeharaHiroyuki KatoNoriko SakaiJun Takahashi
- Topics
- Scoliosis diagnosis and treatment (10 papers)Heart Failure Treatment and Management (9 papers)Receptor Mechanisms and Signaling (6 papers)
- Cited by
- Cardiology and Cardiovascular MedicineAquatic ScienceEndocrinology, Diabetes and Metabolism
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Hikaru Nishimura
49 papers receiving 613 citations
Peers
Comparison fields: 5 of 83
- Cardiology and Cardiovascular Medicine 309
- Surgery 138
- Molecular Biology 112
- Endocrinology, Diabetes and Metabolism 76
- Physiology 71
Countries citing papers authored by Hikaru Nishimura
This map shows the geographic impact of Hikaru Nishimura'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 Hikaru Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hikaru Nishimura more than expected).
Fields of papers citing papers by Hikaru Nishimura
This network shows the impact of papers produced by Hikaru Nishimura. 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 Hikaru Nishimura. The network helps show where Hikaru Nishimura may publish in the future.
Co-authorship network of co-authors of Hikaru Nishimura
This figure shows the co-authorship network connecting the top 25 collaborators of Hikaru Nishimura. A scholar is included among the top collaborators of Hikaru Nishimura 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 Hikaru Nishimura. Hikaru Nishimura 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 | 4 | |
| 5 | 13 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 8 | |
| 20 | 55 |
About Hikaru Nishimura
Hikaru Nishimura is a scholar working on Cardiology and Cardiovascular Medicine, Aging and Physical Therapy, Sports Therapy and Rehabilitation, having authored 50 papers that have together received 647 indexed citations. Recurring topics across this work include Scoliosis diagnosis and treatment (10 papers), Heart Failure Treatment and Management (9 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (309 citations), Aquatic Science (36 citations) and Endocrinology, Diabetes and Metabolism (76 citations). Hikaru Nishimura has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Keishiro Kawamura, Jiro Kubota, Shinichiro Kubo, Shota Ikegami, Masashi Uehara, Hiroyuki Kato, Noriko Sakai, Jun Takahashi, Detlev Ganten and Ovidiu Constantin Baltatu. Their work appears in journals such as Journal of Bone and Joint Surgery, Scientific Reports and Brain Research.
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.