Eric Ueda

863 citations
18 papers · 719 · h-index 14

Impact in

    • Protein purification and stability
    • Advanced biosensing and bioanalysis techniques
    • Glycosylation and Glycoproteins Research
    • Viral Infectious Diseases and Gene Expression in Insects
    • Growth Hormone and Insulin-like Growth Factors

Papers in

Eric Ueda

18 papers receiving 691 citations

Peers

Eric Ueda
Comparison fields: 5 of 85
  • Molecular Biology 448
  • Endocrinology, Diabetes and Metabolism 100
  • Radiology, Nuclear Medicine and Imaging 119
  • Spectroscopy 87
  • Biotechnology 33
Replace Colin V. Gegg with:
Colin V. Gegg United States
Zon Weng Lai United States
J. O. Rytter Nørgaard Denmark
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Herald Reiersen United Kingdom
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Shiqi Li China
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Eric Ueda relative to Colin V. Gegg United States Colin V. Gegg's profile →
Citations per field
00.5×4.6×
Colin V. Gegg · 1×
Citations per year

Countries citing papers authored by Eric Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Eric Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003400
2 200349
3 200636
4 200125
5 200723
6 200822
7 200620
8 201119
9 200819
10 200719
11 200916
12 200615
13 201114
14 200614
15 199512
16 19939
17 20095
18 20112

About Eric Ueda

Eric Ueda is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Immunology, having authored 18 papers that have together received 719 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Estrogen and related hormone effects (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Protein purification and stability (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Molecular Biology (448 citations), Endocrinology, Diabetes and Metabolism (100 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Spectroscopy (87 citations) and Biotechnology (33 citations). Eric Ueda has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Peter W. Gout, Lígia Morganti, Ameae M. Walker, Paolo Bartolini, Carlos Roberto Jorge Soares, Kuang‐Tzu Huang, Yen-Hao Chen, Dunyong Tan, Stephen Tomlinson and A F Esser. Their work appears in journals such as Journal of Chromatography A, Protein Expression and Purification, Biochemistry, Molecular Endocrinology and Journal of Mammary Gland Biology and Neoplasia.

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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