Mari Asada

2.3k citations
18 papers · 243 · h-index 7

Impact in

Papers in

Mari Asada

17 papers receiving 233 citations

Peers

Mari Asada
Comparison fields: 5 of 56
  • Reproductive Medicine 101
  • Obstetrics and Gynecology 26
  • Cellular and Molecular Neuroscience 27
  • Genetics 37
  • Molecular Biology 88
Replace R Wyss with:
R Wyss Switzerland
Wenbai Zhou China
Martine Applanat France
Brooke C. Matson United States
Xiaoyue Shen China
Tatsuo Fuseya Japan
Jyotsna B. Halder United States
Patricia Saragüeta Argentina
Yoshikazu Kitahara Japan
Soledad Henríquez Chile
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Citations per field
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Citations per year

Countries citing papers authored by Mari Asada

Since Specialization
Citations

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

Fields of papers citing papers by Mari Asada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200189
2 201358
3 201122
4 200712
5 202012
6 198110
7 20169
8 20166
9 19966
10
Early lesions of cerebral atherosclerosis from induced hypertension in Watanabe heritable hyperlipidemic rabbits.
20006
11
Postnatal changes in the distribution of lipid droplets within the liver lobule of the mouse.
19794
12 20153
13 20212
14 19781
15 19781
16
[Myocardial metabolism, oxygen demand and oxygen supply during prostaglandin E1 induced hypotension].
19941
17
[Availability of the measurement of plasma beta-thromboglobulin (beta-TG) for cerebrovascular diseases (author's transl)].
19791
18 20230

About Mari Asada

Mari Asada is a scholar working on Molecular Biology, Reproductive Medicine, Biochemistry, Endocrine and Autonomic Systems and Epidemiology, having authored 18 papers that have together received 243 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (3 papers), melanin and skin pigmentation (2 papers), Lipid metabolism and biosynthesis (2 papers), Alzheimer's disease research and treatments (1 paper), Ubiquitin and proteasome pathways (1 paper), Ion Transport and Channel Regulation (1 paper), Ovarian function and disorders (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Reproductive Medicine (101 citations), Obstetrics and Gynecology (26 citations), Cellular and Molecular Neuroscience (27 citations), Genetics (37 citations) and Molecular Biology (88 citations). Mari Asada has collaborated with scholars based in Japan, New Zealand and South Korea. Frequent co-authors include Tatsuya Watanabe, Chieko Kitada, Yasushi Shintani, Masahiko Fujino, Susumu Honda, Takao Yamada, Masato Suenaga, Tsutomu Kurokawa, Takuya Watanabe and Haruo Onda. Their work appears in journals such as Hepatology Research, Circulation, Neuroscience, Biochemical and Biophysical Research Communications and Xenobiotica.

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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