Masato Kajikawa
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Yukihito HigashiTatsuya MaruhashiAyumu NakashimaYasuki KiharaKazuaki ChayamaChikara GotoKensuke NomaYumiko Iwamoto
- Topics
- Cardiovascular Health and Disease Prevention (55 papers)Blood Pressure and Hypertension Studies (37 papers)Peripheral Artery Disease Management (17 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismEmergency Medicine
- Journals
- CirculationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Masato Kajikawa
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Cardiology and Cardiovascular Medicine 773
- Surgery 501
- Endocrinology, Diabetes and Metabolism 313
- Molecular Biology 259
- Physiology 201
Countries citing papers authored by Masato Kajikawa
This map shows the geographic impact of Masato Kajikawa'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 Masato Kajikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Kajikawa more than expected).
Fields of papers citing papers by Masato Kajikawa
This network shows the impact of papers produced by Masato Kajikawa. 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 Masato Kajikawa. The network helps show where Masato Kajikawa may publish in the future.
Co-authorship network of co-authors of Masato Kajikawa
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Kajikawa. A scholar is included among the top collaborators of Masato Kajikawa 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 Masato Kajikawa. Masato Kajikawa 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 | 1 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 18 | |
| 12 | 11 | |
| 13 | 44 | |
| 14 | 9 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 12 | |
| 19 | 86 | |
| 20 | 48 |
About Masato Kajikawa
Masato Kajikawa is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Endocrinology, Diabetes and Metabolism, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (55 papers), Blood Pressure and Hypertension Studies (37 papers) and Peripheral Artery Disease Management (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (773 citations), Endocrinology, Diabetes and Metabolism (313 citations) and Emergency Medicine (180 citations). Masato Kajikawa has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Yukihito Higashi, Tatsuya Maruhashi, Ayumu Nakashima, Yasuki Kihara, Kazuaki Chayama, Chikara Goto, Kensuke Noma, Yumiko Iwamoto, Takeshi Matsumoto and Takayuki Hidaka. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.
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.