T Uede

1.5k citations
49 papers · 1.2k · h-index 19

Impact in

Papers in

    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 8
    • T-cell and B-cell Immunology 5
    • RNA Interference and Gene Delivery 4

T Uede

49 papers receiving 1.2k citations

Peers

T Uede
Comparison fields: 5 of 82
  • Rheumatology 450
  • Immunology and Allergy 159
  • Immunology 470
  • Oral Surgery 94
  • Biotechnology 79
Replace Mihoko Setoguchi with:
Mihoko Setoguchi Japan
A F Purchio United States
Dvorak Hf United States
D Bautista Canada
Masashi Matsui Japan
Hiromaro Kiryu Japan
G P Stricklin United States
P Stosiek Germany
Mariella Parenza Italy
Tadeusz P. Chorzelski United States
T Uede relative to Mihoko Setoguchi Japan Mihoko Setoguchi's profile →
Citations per field
00.5×3.6×
Mihoko Setoguchi · 1×
Citations per year

Countries citing papers authored by T Uede

Since Specialization
Citations

This map shows the geographic impact of T Uede'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 T Uede with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Uede more than expected).

Fields of papers citing papers by T Uede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CD44 variants but not CD44s cooperate with beta1-containing integrins to permit cells to bind to osteopontin independently of arginine-glycine-aspartic acid, thereby stimulating cell motility and chemotaxis.
1999277
2 2001118
3 199996
4 199368
5 201155
6 200452
7 198538
8 200935
9 198231
10 200530
11 198529
12 201326
13 201224
14 198823
15 199423
16 198423
17 198222
18 198420
19 198418
20 199018

About T Uede

T Uede is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Rheumatology and Surgery, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (8 papers), Bone and Dental Protein Studies (8 papers), T-cell and B-cell Immunology (5 papers), Cell Adhesion Molecules Research (4 papers), Virus-based gene therapy research (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Rheumatology (450 citations), Immunology and Allergy (159 citations), Immunology (470 citations), Oral Surgery (94 citations) and Biotechnology (79 citations). T Uede has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kimishige Ishizaka, K Kikuchi, Hiroshi Hotta, Noriharu Shijubo, Masaaki Murakami, Thomas Huff, Yohko U. Katagiri, Shigeyuki Kon, Katsunori Tanaka and Jonathan P. Sleeman. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Clinical & Experimental Allergy, Cartilage and British Journal of Cancer.

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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