Atsuo Goto

4.9k citations
124 papers · 4.2k indexed · h-index 35

Atsuo Goto

124 papers receiving 4.0k citations

Peers

Atsuo Goto
Comparison fields: 5 of 114
  • Nephrology 756
  • Clinical Biochemistry 387
  • Endocrinology, Diabetes and Metabolism 741
  • Cardiology and Cardiovascular Medicine 964
  • Biochemistry 283
Replace John S.D. Chan with:
John S.D. Chan Canada
Shokei Kim‐Mitsuyama Japan
Yasuo Matsumura Japan
Thomas P. Douša United States
Ming‐Zhi Zhang United States
Kikuo Kasai Japan
Hirofumi Hitomi Japan
Toshiaki Tamaki Japan
Nigishi Hotta Japan
Daisuke Nakano Japan
Atsuo Goto relative to John S.D. Chan Canada John S.D. Chan's profile →
Citations per field
00.5×1.5×1.9×
John S.D. Chan · 1×
Citations per year

Countries citing papers authored by Atsuo Goto

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Atsuo Goto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Atsuo Goto Line = papers co-authored together Atsuo Goto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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
20081
2 200452
3 200441
4 200311
5 200312
6 200335
7 20021
8 20024
9 20029
10 2001127
11 200014
12 200022
13 199930
14 19989
15 199827
16 199414
17 1992180
18 199013
19 19885
20 198830

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), Renin-Angiotensin System Studies (22 papers), Ion Transport and Channel Regulation (16 papers), Ion channel regulation and function (14 papers), Eicosanoids and Hypertension Pharmacology (10 papers), Receptor Mechanisms and Signaling (10 papers) and Renal Diseases and Glomerulopathies (9 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.

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