Yasuo Ueda

1.8k citations
90 papers · 843 · h-index 14

Impact in

Papers in

Yasuo Ueda

80 papers receiving 813 citations

Peers

Yasuo Ueda
Comparison fields: 5 of 130
  • Endocrinology, Diabetes and Metabolism 174
  • Insect Science 56
  • Obstetrics and Gynecology 30
  • Epidemiology 114
  • Spectroscopy 54
Replace Makoto Kawakami with:
Makoto Kawakami Japan
Zhaoxia Zhang China
Paula Clancy Australia
Rajnish Sharma India
LeRoy Klein United States
S Sato Japan
Alessandro Armini Italy
Elena Kostova Netherlands
Junyi Jiang China
Yasuo Ueda relative to Makoto Kawakami Japan Makoto Kawakami's profile →
Citations per field
00.5×5.1×
Makoto Kawakami · 1×
Citations per year

Countries citing papers authored by Yasuo Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Yasuo Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983117
2 2007100
3 200592
4 198852
5 200047
6 199127
7 198927
8 198426
9 201124
10 199022
11 200322
12 199814
13 201813
14 202113
15 201212
16 200812
17 200111
18 199010
19 198810
20 19909

About Yasuo Ueda

Yasuo Ueda is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 90 papers that have together received 843 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Renal cell carcinoma treatment (5 papers), Bladder and Urothelial Cancer Treatments (5 papers), Pregnancy and preeclampsia studies (5 papers), Testicular diseases and treatments (4 papers), Birth, Development, and Health (4 papers), Cancer Treatment and Pharmacology (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Insect Science (56 citations), Obstetrics and Gynecology (30 citations), Epidemiology (114 citations) and Spectroscopy (54 citations). Yasuo Ueda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shuji Adachi, Kenji Hashimoto, Katsumi Eguchi, Matsuto Mochizuki, Masayuki Yokozawa, Motoki Nishimori, Hajime Morikawa, Kohji Yamamura, Shigeki Morita and Takeshi Maruo. Their work appears in journals such as Biotechnology and Bioengineering, Journal of Reconstructive Microsurgery, Dental Materials Journal, Hepatology International and Journal of the Physical Society of Japan.

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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