Masataka Arima

1.3k citations
85 papers · 1.0k · h-index 19

Impact in

Papers in

Masataka Arima

80 papers receiving 958 citations

Peers

Masataka Arima
Comparison fields: 5 of 98
  • Pediatrics, Perinatology and Child Health 186
  • Physiology 191
  • Genetics 208
  • Physiology 34
  • Developmental Neuroscience 26
Replace Gerald S. Braun with:
Gerald S. Braun Germany
Nanbert Zhong United States
Paul Roos Sweden
Brenda D. Stride Germany
W. Schulze Germany
Joanne Wang United States
Andrew D. Darnel Japan
Tingting Yu China
Michèle Lonergan Canada
Felicitas Lacbawan United States
Masataka Arima relative to Gerald S. Braun Germany Gerald S. Braun's profile →
Citations per field
00.5×2.9×
Gerald S. Braun · 1×
Citations per year

Countries citing papers authored by Masataka Arima

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Arima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199498
2
Localization of type V collagen and type IV collagen in human cornea, lung, and skin. Immunohistochemical evidence by anti-collagen antibodies characterized by immunoelectroblotting.
198483
3 198558
4 199139
5 198636
6 198232
7 198730
8 199327
9 200327
10 198426
11 198925
12 199125
13 198224
14 198324
15 198721
16 198221
17 198119
18 197919
19 198218
20 198117

About Masataka Arima

Masataka Arima is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Rheumatology, Physiology and Genetics, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (10 papers), Prenatal Substance Exposure Effects (8 papers), Folate and B Vitamins Research (7 papers), Tuberous Sclerosis Complex Research (7 papers), Trace Elements in Health (6 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Lysosomal Storage Disorders Research (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (186 citations), Physiology (191 citations), Genetics (208 citations), Physiology (34 citations) and Developmental Neuroscience (26 citations). Masataka Arima has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Harumi Tanaka, Norio Sakuragawa, Sachio Takashima, Norihiro Suzuki, Hiroshi Konomi, Takashi Mito, Toshihiko Hayashi, K Nakayasu, Hideo Yamanouchi and E Satoyoshi. Their work appears in journals such as Brain and Development, Pediatric Neurology, Journal of Child Neurology, Human Genetics 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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