Tsuyoshi Uchida

3.3k citations
79 papers · 3.0k · h-index 25

Impact in

  • Hematology top 2%
    • Platelet Disorders and Treatments
  • Immunology top 5%
    • Toxin Mechanisms and Immunotoxins

Papers in

Tsuyoshi Uchida

74 papers receiving 2.8k citations

Peers

Tsuyoshi Uchida
Comparison fields: 5 of 109
  • Hematology 521
  • Immunology 587
  • Genetics 762
  • Molecular Biology 1.5k
  • Biotechnology 161
Replace Paul G. Rothberg with:
Paul G. Rothberg United States
Beverly A. Mock United States
Bernard J. Scallon United States
Daniele Sblattero Italy
Fumiichiro Yamamoto United States
Paul A. Edwards United Kingdom
Sylvia Miescher Switzerland
David S. Secher United Kingdom
Frans M.A. Hofhuis Netherlands
Tim Willinger United States
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Citations per field
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Paul G. Rothberg · 1×
Citations per year

Countries citing papers authored by Tsuyoshi Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989404
2 1989379
3 1989375
4 1991127
5 1989121
6 1994121
7 1987115
8 1986103
9 197996
10 198790
11 199084
12 198583
13 198274
14 198862
15
p53 gene mutations in human gastric cancer: wild-type p53 but not mutant p53 suppresses growth of human gastric cancer cells.
199260
16 199458
17 197757
18 198755
19 197854
20 198951

About Tsuyoshi Uchida

Tsuyoshi Uchida is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Surgery, having authored 79 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Virus-based gene therapy research (10 papers), Glycosylation and Glycoproteins Research (7 papers), Platelet Disorders and Treatments (6 papers), Toxin Mechanisms and Immunotoxins (6 papers), Bacteriophages and microbial interactions (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (521 citations), Immunology (587 citations), Genetics (762 citations), Molecular Biology (1.5k citations) and Biotechnology (161 citations). Tsuyoshi Uchida has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Yasufumi Kaneda, Kunimitsu Iwai, Toshiyuki Ishibashi, Hideo Kimura, S Kariyone, Yoshio Okada, Samuel A. Burstein, Paul Friese, Yayoi Shikama and Yukio Akiyama. Their work appears in journals such as Biochemical and Biophysical Research Communications, Experimental Cell Research, Blood, Cell Structure and Function and Journal of Biological Chemistry.

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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