Atsuo Goto
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 5%
- Nephrology top 0.5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Toshiro FujitaAkihiro TojoMaristela L. OnozatoMasao OmataKaoru YamadaMasao KuniokaYasunobu HirataChristopher S. Wilcox
- Topics
- Nitric Oxide and Endothelin Effects (24 papers)Hormonal Regulation and Hypertension (24 papers)Renin-Angiotensin System Studies (22 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Atsuo Goto
124 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 1.8k
- Cardiology and Cardiovascular Medicine 964
- Physiology 760
- Nephrology 756
- Endocrinology, Diabetes and Metabolism 741
Countries citing papers authored by Atsuo Goto
This map shows the geographic impact of Atsuo Goto'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 Atsuo Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsuo Goto more than expected).
Fields of papers citing papers by Atsuo Goto
This network shows the impact of papers produced by Atsuo Goto. 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 Atsuo Goto. The network helps show where Atsuo Goto may publish in the future.
Co-authorship network of co-authors of Atsuo Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Atsuo Goto. A scholar is included among the top collaborators of Atsuo Goto 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 Atsuo Goto. Atsuo Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Clinical Significance of Post-Dialysis Plasma Concentrations of Atrial Natriuretic Peptide and Brain Natiuretic Peptide as Long-term Survival Predictors in Hemodialysis Patients : 15-year follow up study | 1 |
| 2 | 52 | |
| 3 | 41 | |
| 4 | 11 | |
| 5 | 12 | |
| 6 | 35 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 127 | |
| 11 | 14 | |
| 12 | 22 | |
| 13 | 30 | |
| 14 | 9 | |
| 15 | 27 | |
| 16 | 14 | |
| 17 | 180 | |
| 18 | 13 | |
| 19 | 5 | |
| 20 | 30 |
About Atsuo Goto
Atsuo Goto is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 124 papers that have together received 4.2k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (24 papers), Hormonal Regulation and Hypertension (24 papers) and Renin-Angiotensin System Studies (22 papers). The work is most often cited by research in Nephrology (756 citations), Clinical Biochemistry (387 citations) and Endocrinology, Diabetes and Metabolism (741 citations). Atsuo Goto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshiro Fujita, Akihiro Tojo, Maristela L. Onozato, Masao Omata, Kaoru Yamada, Masao Kunioka, Yasunobu Hirata, Christopher S. Wilcox, Masanori Yoshioka and Etsu Suzuki. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Circulation 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.