T Hachiya

646 citations
16 papers · 529 · h-index 11

Impact in

  • Genetics top 10%
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema
    • Urticaria and Related Conditions
    • Systemic Lupus Erythematosus Research

Papers in

T Hachiya

15 papers receiving 525 citations

Peers

T Hachiya
Comparison fields: 5 of 74
  • Genetics 108
  • Rheumatology 147
  • Pathology and Forensic Medicine 165
  • Molecular Biology 221
  • Virology 14
Replace Y. Sasai with:
Y. Sasai Japan
Debasmita Roy United States
P. K�hnl Germany
Ryan C. Thompson United States
Lucia Artuso Italy
Ferez S. Nallaseth United States
Marc M. Friedman United States
Misuzu Ueki Japan
Tuomo Mantere Finland
Reinhard Stindl Austria
T Hachiya relative to Y. Sasai Japan Y. Sasai's profile →
Citations per field
00.5×7.7×
Y. Sasai · 1×
Citations per year

Countries citing papers authored by T Hachiya

Since Specialization
Citations

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

Fields of papers citing papers by T Hachiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008113
2 201674
3
The rck/p54 candidate proto-oncogene product is a 54-kilodalton D-E-A-D box protein differentially expressed in human and mouse tissues.
199571
4 201565
5
Quantification of antiribosomal P0 protein antibodies by ELISA with recombinant P0 fusion protein and their association with central nervous system disease in systemic lupus erythematosus.
199543
6 199639
7
Assessment of protein kinase C isozymes by enzyme immunoassay and overexpression of type II in thyroid adenocarcinoma.
199029
8 198922
9 199619
10 201919
11 199416
12 19909
13 19975
14 20243
15 19941
16
[Determination of serum T3 (triiodothyronine) by radioimmunoassay method].
19731

About T Hachiya

T Hachiya is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism, Cell Biology and Plant Science, having authored 16 papers that have together received 529 indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cell death mechanisms and regulation (2 papers), Plant Stress Responses and Tolerance (2 papers), Thyroid Disorders and Treatments (2 papers), Dermatological and COVID-19 studies (1 paper), Plant Molecular Biology Research (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Genetics (108 citations), Rheumatology (147 citations), Pathology and Forensic Medicine (165 citations), Molecular Biology (221 citations) and Virology (14 citations). T Hachiya has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Ko Noguchi, Chihiro Watanabe, Ichiro Terashima, Sanae Numata, Kwesi Teye, Tamihiro Kawakami, Norito Ishii, Daisuke Tsuruta, Takashi Hashimoto and Hiroshi Morikawa. Their work appears in journals such as British Journal of Dermatology, Clinical Chemistry, Acta Dermato Venereologica, FEBS Letters and The Journal of Biochemistry.

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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