Yuichi Obata

5.5k citations
82 papers · 3.7k indexed · h-index 31

Yuichi Obata

82 papers receiving 3.6k citations

Peers

Yuichi Obata
Comparison fields: 5 of 122
  • Immunology 1.2k
  • Cancer Research 508
  • Cellular and Molecular Neuroscience 506
  • Molecular Biology 1.7k
  • Genetics 588
Replace Edward Korzus with:
Edward Korzus United States
María L. Arbonés Spain
Markus U. Ehrengruber Switzerland
Alan K. Howe United States
Susan F. Radka United States
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Robert A. Hipskind France
Mitsuru Matsumoto Japan
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Citations per field
00.5×2.5×
Edward Korzus · 1×
Citations per year

Countries citing papers authored by Yuichi Obata

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Obata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2017198
2 20162
3 201375
4 201221
5 200910
6 200774
7 200677
8 20041
9 20043
10
Expression and targeting of human fibroblast activation protein in a human skin/severe combined immunodeficient mouse breast cancer xenograft model.
200328
11 200378
12 200394
13 2002111
14 200121
15 200032
16 19966
17 19923
18 198933
19
T cell receptor beta chain gene rearrangements in leukemias with immature T cell phenotype.
19867
20
Characterization of interleukin 2-dependent cytotoxic T-cell clones: specificity, cell surface phenotype, and susceptibility to blocking by Lyt antisera.
198334

About Yuichi Obata

Yuichi Obata is a scholar working on Immunology, Genetics, Molecular Biology, Microbiology and Radiology, Nuclear Medicine and Imaging, having authored 82 papers that have together received 3.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Virus-based gene therapy research (11 papers), Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (11 papers), CRISPR and Genetic Engineering (10 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers) and Molecular Biology Techniques and Applications (7 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (508 citations), Cellular and Molecular Neuroscience (506 citations), Molecular Biology (1.7k citations) and Genetics (588 citations). Yuichi Obata has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Takashi Takahashi, Takahiro Doi, Lloyd J. Old, Atsushi Yoshiki, Elisabeth Stockert, Susumu Tonegawa, Takashi Kitamura, Kazuo Moriwaki, Osamu Taguchi and Takachika Azuma. Their work appears in journals such as The Journal of Immunology, EXPERIMENTAL ANIMALS, Biochemical and Biophysical Research Communications, Mammalian Genome and Proceedings of the National Academy of Sciences.

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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