U Okamoto

60 papers receiving 692 citations

Peers

U Okamoto
Comparison fields: 5 of 88
  • Biochemistry 161
  • Critical Care and Intensive Care Medicine 95
  • Hematology 198
  • Cancer Research 211
  • Biotechnology 90
Replace Akiko Hijikata‐Okunomiya with:
Akiko Hijikata‐Okunomiya Japan
Keiko Wanaka Japan
Jan‐Erik Niléhn Sweden
M. Kamiyama United States
Marianne Kjalke Denmark
Ann‐Catrine Teger‐Nilsson Sweden
Daphne Stewart United States
Samina Y. Khan United States
Simona Stivala Switzerland
Jesús Martín Spain
U Okamoto relative to Akiko Hijikata‐Okunomiya Japan Akiko Hijikata‐Okunomiya's profile →
Citations per field
00.5×3.3×
Akiko Hijikata‐Okunomiya · 1×
Citations per year

Countries citing papers authored by U Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by U Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1962127
2 199787
3 196482
4 196860
5 195939
6 200029
7 198122
8 198222
9 199320
10 199917
11 198417
12 199116
13 200013
14 198013
15 198113
16 200113
17 198712
18 198910
19 19929
20 19649

About U Okamoto

U Okamoto is a scholar working on Molecular Biology, Cancer Research, Biotechnology, Genetics and Oncology, having authored 65 papers that have together received 757 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (21 papers), Enzyme Production and Characterization (19 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (15 papers), Peptidase Inhibition and Analysis (12 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers), Chemical Synthesis and Analysis (8 papers), Biochemical and Structural Characterization (7 papers) and Infant Nutrition and Health (6 papers). The work is most often cited by research in Biochemistry (161 citations), Critical Care and Intensive Care Medicine (95 citations), Hematology (198 citations), Cancer Research (211 citations) and Biotechnology (90 citations). U Okamoto has collaborated with scholars based in Japan, Czechia and United Kingdom. Frequent co-authors include Shosuke Okamoto, Yuko Tsuda, Keiko Wanaka, Akiko Hijikata‐Okunomiya, Yumiko Takada, Yoshio Okada, Yoshio Okada, H Mihara, Junichiro Yamamoto and Akikazu Takada. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, The Keio Journal of Medicine, Thrombosis Research, Thrombosis and Haemostasis and Biological and Pharmaceutical Bulletin.

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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