T Ueha

1.2k citations
63 papers · 972 · h-index 17

Impact in

Papers in

T Ueha

61 papers receiving 933 citations

Peers

T Ueha
Comparison fields: 5 of 121
  • Biochemistry 80
  • Orthodontics 41
  • Genetics 91
  • Endocrinology, Diabetes and Metabolism 124
  • Pharmacology 59
Replace Ji‐Hyun Kim with:
Ji‐Hyun Kim South Korea
Monica Rapino Italy
Błażej Rubiś Poland
Aistė Jekabsone Lithuania
Haiyan Lin China
Hyemin Lee South Korea
Elif Damla Arısan Türkiye
Yuh‐Fung Chen Taiwan
Gangadharan B. Sajithlal India
T Ueha relative to Ji‐Hyun Kim South Korea Ji‐Hyun Kim's profile →
Citations per field
00.5×2.8×
Ji‐Hyun Kim · 1×
Citations per year

Countries citing papers authored by T Ueha

Since Specialization
Citations

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

Fields of papers citing papers by T Ueha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000110
2 199873
3 200155
4
Cytotoxic activity of low molecular weight polyphenols against human oral tumor cell lines.
200047
5 200146
6
Induction of apoptosis by flavones, flavonols (3-hydroxyflavones) and isoprenoid-substituted flavonoids in human oral tumor cell lines.
200042
7
Cytotoxicity and radical intensity of eugenol, isoeugenol or related dimers.
200042
8 199936
9 199632
10 199431
11 199930
12 197925
13 198321
14 199219
15 199818
16 199218
17 199618
18 197116
19 200016
20 198115

About T Ueha

T Ueha is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Cell Biology and Genetics, having authored 63 papers that have together received 972 indexed citations. Recurring topics across this work include Salivary Gland Disorders and Functions (17 papers), Hormonal and reproductive studies (12 papers), Thyroid Disorders and Treatments (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Ion Transport and Channel Regulation (5 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Neuropeptides and Animal Physiology (4 papers) and Synthesis of Organic Compounds (4 papers). The work is most often cited by research in Biochemistry (80 citations), Orthodontics (41 citations), Genetics (91 citations), Endocrinology, Diabetes and Metabolism (124 citations) and Pharmacology (59 citations). T Ueha has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuo Hosoi, T Atsumi, I Iwakura, S Fujisawa, Kinji Kurihara, Hiroshi Sakagami, Keitaro Satoh, Izumi Tanaka, Edward W. Gresik and Kazuya Kusama. Their work appears in journals such as Archives of Oral Biology, The Journal of Biochemistry, Endocrinology, American Journal of Physiology-Legacy Content and Journal of Endocrinology.

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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