Yasuo Goto

2.0k citations
82 papers · 1.6k indexed · h-index 20

Yasuo Goto

79 papers receiving 1.5k citations

Peers

Yasuo Goto
Comparison fields: 5 of 129
  • Reproductive Medicine 348
  • Emergency Medical Services 162
  • Endocrinology, Diabetes and Metabolism 275
  • Public Health, Environmental and Occupational Health 458
  • Nephrology 86
Replace Horst D. Becker with:
Horst D. Becker Germany
Sufan Chien United States
Vincenzo Davide Palumbo Italy
Adam Hermanowicz Poland
Gayle E. Lester United States
James Beattie United Kingdom
Wojciech Dębek Poland
Ye Jin Kim South Korea
Sevda Müftüoğlu Türkiye
Mathew M. Avram United States
Yasuo Goto relative to Horst D. Becker Germany Horst D. Becker's profile →
Citations per field
00.5×10×15×18.3×
Horst D. Becker · 1×
Citations per year

Countries citing papers authored by Yasuo Goto

Since Specialization
Citations

This map shows the geographic impact of Yasuo 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 Yasuo Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Goto more than expected).

Fields of papers citing papers by Yasuo Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasuo 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 Yasuo Goto. The network helps show where Yasuo Goto may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Yasuo 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 Yasuo Goto Line = papers co-authored together Yasuo Goto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20110
2 20112
3
Al_2O_3-Cr_2O_3 Refractories for Municipal Waste Incineration Residue Melting Furnaces
20019
4 19993
5 19986
6 19972
7 199744
8 199728
9 19961
10 19950
11 19957
12 199514
13 19954
14 199465
15 199454
16 199342
17 19918
18 19781
19 19781
20 197537

About Yasuo Goto

Yasuo Goto is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Transplantation, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (23 papers), Reproductive Biology and Fertility (11 papers), Neuroendocrine Tumor Research Advances (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Diabetes Management and Research (8 papers), Diabetes Treatment and Management (8 papers), Reproductive System and Pregnancy (7 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (6 papers). The work is most often cited by research in Reproductive Medicine (348 citations), Emergency Medical Services (162 citations) and Endocrinology, Diabetes and Metabolism (275 citations). Yasuo Goto has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Yoichi Noda, Takahide Mori, Minoru Nakano, Yutaka Seino, Tomohiko Taminato, Hiroo Imura, Takahiro Nakayama, Mototsugu Sakai, Michio Inagaki and Shigeru Matsukura. Their work appears in journals such as Diabetes, Journal of Reproduction and Development, Human Reproduction, Journal of Assisted Reproduction and Genetics and The Journal of Clinical Endocrinology & Metabolism.

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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