Akimitsu Nishiyama
- Cardiology and Cardiovascular Medicine top 2%
- Surgery
- Nutrition and Dietetics top 10%
- Endocrinology, Diabetes and Metabolism
- Complementary and alternative medicine top 5%
- Co-authors
- Yutaka ImaiKenichi NagaiHiroshi SatohIchiro TsujiTakayoshi OhkuboMakoto SekinoAkiko AiharaShigeru Hisamichi
- Topics
- Blood Pressure and Hypertension Studies (7 papers)Heart Rate Variability and Autonomic Control (4 papers)Cardiovascular Health and Disease Prevention (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineNutrition and DieteticsComplementary and alternative medicine
- Partner nations
- Japan
In The Last Decade
Akimitsu Nishiyama
11 papers receiving 984 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 918
- Surgery 251
- Nutrition and Dietetics 152
- Endocrinology, Diabetes and Metabolism 85
- Complementary and alternative medicine 76
Countries citing papers authored by Akimitsu Nishiyama
This map shows the geographic impact of Akimitsu Nishiyama'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 Akimitsu Nishiyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akimitsu Nishiyama more than expected).
Fields of papers citing papers by Akimitsu Nishiyama
This network shows the impact of papers produced by Akimitsu Nishiyama. 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 Akimitsu Nishiyama. The network helps show where Akimitsu Nishiyama may publish in the future.
Co-authorship network of co-authors of Akimitsu Nishiyama
This figure shows the co-authorship network connecting the top 25 collaborators of Akimitsu Nishiyama. A scholar is included among the top collaborators of Akimitsu Nishiyama 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 Akimitsu Nishiyama. Akimitsu Nishiyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 89 | |
| 2 | Home blood pressure measurement has a stronger predictive power for mortality than does screening blood pressure measurementbreakdown → | 590 |
| 3 | 23 | |
| 4 | 13 | |
| 5 | 22 | |
| 6 | 82 | |
| 7 | 13 | |
| 8 | 24 | |
| 9 | Pressor effect of recombinant human erythropoietin: results of home blood pressure measurements in hemodialysis patients. | 1 |
| 10 | 150 | |
| 11 | 32 |
About Akimitsu Nishiyama
Akimitsu Nishiyama is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Nephrology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (7 papers), Heart Rate Variability and Autonomic Control (4 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (918 citations), Nutrition and Dietetics (152 citations) and Complementary and alternative medicine (76 citations). Akimitsu Nishiyama has collaborated with scholars based in Japan. Frequent co-authors include Yutaka Imai, Kenichi Nagai, Hiroshi Satoh, Ichiro Tsuji, Takayoshi Ohkubo, Makoto Sekino, Akiko Aihara, Shigeru Hisamichi, Junko Kato and Masahiro Kikuya. Their work appears in journals such as Journal of Hypertension, Clinical Science and American Journal of Hypertension.
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.