T. Arima

1.1k citations
35 papers · 801 · h-index 16

Impact in

Papers in

T. Arima

34 papers receiving 765 citations

Peers

T. Arima
Comparison fields: 5 of 105
  • Pediatrics, Perinatology and Child Health 285
  • Genetics 259
  • Ceramics and Composites 45
  • Reproductive Medicine 62
  • Public Health, Environmental and Occupational Health 145
Replace X.S. Tang with:
X.S. Tang China
Qingxue Wang China
Chuanxin Zhang China
Shuo Guan China
E.B. Ilgren United Kingdom
Matthew Parker United States
Hironori Yamamoto Japan
O. Bärenholdt Denmark
Bertrand Ludes France
Huixia Zhang China
T. Arima relative to X.S. Tang China X.S. Tang's profile →
Citations per field
00.5×10×13.0×
X.S. Tang · 1×
Citations per year

Countries citing papers authored by T. Arima

Since Specialization
Citations

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

Fields of papers citing papers by T. Arima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006263
2 200188
3 200181
4 200439
5 200633
6 200223
7 200922
8 201921
9 199821
10 200620
11 198419
12 199519
13 199719
14 200116
15 201015
16 201415
17
DNA polymorphism analysis of a pure non-gestational choriocarcinoma of the ovary: case report.
200012
18 199610
19 20059
20 19979

About T. Arima

T. Arima is a scholar working on Molecular Biology, Inorganic Chemistry, Materials Chemistry, Genetics and Pediatrics, Perinatology and Child Health, having authored 35 papers that have together received 801 indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (9 papers), Genetic Syndromes and Imprinting (7 papers), Epigenetics and DNA Methylation (6 papers), Glass properties and applications (5 papers), Nuclear materials and radiation effects (5 papers), Prenatal Screening and Diagnostics (4 papers), Radioactive contamination and transfer (3 papers) and Groundwater flow and contamination studies (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (285 citations), Genetics (259 citations), Ceramics and Composites (45 citations), Reproductive Medicine (62 citations) and Public Health, Environmental and Occupational Health (145 citations). T. Arima has collaborated with scholars based in Japan, United Kingdom and Switzerland. Frequent co-authors include Takafumi Utsunomiya, Akiko Satô, H. Negishi, Eiko Otsu, Kazuya Idemitsu, Yuji Inagaki, M. Tachiki, Hiroshi Kawarada, Hitoshi Umezawa and Norio Wake. Their work appears in journals such as Journal of Nuclear Materials, The journal of nutrition health & aging, Clinical Anatomy, Placenta and Journal of Developmental Origins of Health and Disease.

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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