Mari Asada

2.3k citations
17 papers · 237 · h-index 7

Impact in

Papers in

Mari Asada

17 papers receiving 227 citations

Peers

Mari Asada
Comparison fields: 5 of 60
  • Reproductive Medicine 112
  • Obstetrics and Gynecology 34
  • Genetics 44
  • Cellular and Molecular Neuroscience 28
  • Endocrinology, Diabetes and Metabolism 25
Replace Martine Applanat with:
Martine Applanat France
Tsukasa Ohno Japan
R Wyss Switzerland
Wenbai Zhou China
Teresa Otto Germany
Tatsuo Fuseya Japan
Fabiola Milosa Italy
Juanke Xie China
Brooke C. Matson United States
Jyotsna B. Halder United States
Mari Asada relative to Martine Applanat France Martine Applanat's profile →
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

17 of 17 papers shown
#Work
1 200189
2 201356
3 201120
4 200712
5 202010
6 198110
7 20169
8 19966
9 20166
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
[Availability of the measurement of plasma beta-thromboglobulin (beta-TG) for cerebrovascular diseases (author's transl)].
19791
15
[Myocardial metabolism, oxygen demand and oxygen supply during prostaglandin E1 induced hypotension].
19941
16 19781
17 19781

About Mari Asada

Mari Asada is a scholar working on Molecular Biology, Reproductive Medicine, Biochemistry, Endocrine and Autonomic Systems and Epidemiology, having authored 17 papers that have together received 237 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Lipid metabolism and biosynthesis (2 papers), melanin and skin pigmentation (2 papers), Liver Disease and Transplantation (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Ruminant Nutrition and Digestive Physiology (1 paper). The work is most often cited by research in Reproductive Medicine (112 citations), Obstetrics and Gynecology (34 citations), Genetics (44 citations), Cellular and Molecular Neuroscience (28 citations) and Endocrinology, Diabetes and Metabolism (25 citations). Mari Asada has collaborated with scholars based in Japan, South Korea and New Zealand. Frequent co-authors include Osamu Nishimura, Akira Hori, Chieko Kitada, Masato Suenaga, Tsutomu Kurokawa, Yasushi Shintani, Masahiko Fujino, Takao Yamada, Haruo Onda and Takuya Watanabe. Their work appears in journals such as Molecular Human Reproduction, Xenobiotica, Neuroscience, Journal of Experimental Zoology and Cellular and Molecular Life Sciences.

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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