Yoko Hatta

705 citations
10 papers · 548 · h-index 6

Impact in

Papers in

Yoko Hatta

10 papers receiving 544 citations

Peers

Yoko Hatta
Comparison fields: 5 of 68
  • Immunology 266
  • Radiology, Nuclear Medicine and Imaging 204
  • Rheumatology 131
  • Genetics 97
  • Genetics 32
Replace Cristina M. Junta with:
Cristina M. Junta Brazil
I Gery United States
Rebecca A. Sweet United States
Pablo F. Cañete Australia
Kathryn L. Pepple United States
C B Pettinelli United States
Jean-Claude Garaud France
Stefanie Schmidt Germany
Paula González-Figueroa Australia
Tae Komata Japan
Yoko Hatta relative to Cristina M. Junta Brazil Cristina M. Junta's profile →
Citations per field
00.5×1.5×2.0×
Cristina M. Junta · 1×
Citations per year

Countries citing papers authored by Yoko Hatta

Since Specialization
Citations

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

Fields of papers citing papers by Yoko Hatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2002262
2 199994
3 200190
4 199948
5
HLA genes and haplotypes in Ryukyuans suggest recent gene flow to the Okinawa Islands.
199929
6 199921
7 19991
8 20001
9
Association of Fc gamma receptor gene polymorphisms in the Japanese patients with systemic lupus erythematosus: Independent contributions from FCGR2B and FCGR3A.
20011
10
The Issues of Making English an Official Language and English Education in Japan
20031

About Yoko Hatta

Yoko Hatta is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Molecular Biology and Endocrine and Autonomic Systems, having authored 10 papers that have together received 548 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Systemic Lupus Erythematosus Research (3 papers), Circadian rhythm and melatonin (1 paper), Second Language Learning and Teaching (1 paper), Gene expression and cancer classification (1 paper), Immunotherapy and Immune Responses (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Immunology (266 citations), Radiology, Nuclear Medicine and Imaging (204 citations), Rheumatology (131 citations), Genetics (97 citations) and Genetics (32 citations). Yoko Hatta has collaborated with scholars based in Japan, Netherlands and United States. Frequent co-authors include Katsushi Tokunaga, Naoyuki Tsuchiya, Marc Jansen, Cees G. M. Kallenberg, Akihiro Yamaguchi, Hitoshi Kato, Jan G. J. van de Winkel, Toru Fukazawa, Chieko Kyogoku and Hiroshi Hashimoto. Their work appears in journals such as Psychiatry and Clinical Neurosciences, Genes and Immunity, Annals of Human Genetics, Immunogenetics and PubMed.

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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