Mariko Harada

1.1k citations
40 papers · 859 · h-index 16

Impact in

Papers in

    • Receptor Mechanisms and Signaling 5
    • Adipose Tissue and Metabolism 4
    • Erythrocyte Function and Pathophysiology 4

Mariko Harada

37 papers receiving 829 citations

Peers

Mariko Harada
Comparison fields: 5 of 106
  • Biochemistry 100
  • Insect Science 85
  • Plant Science 250
  • Molecular Biology 352
  • Genetics 103
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Dan Zhao China
F. Moller United States
Kenneth P. Blemings United States
John A. Dawson United States
I. D. Bowen United Kingdom
Alexandra Amaral Portugal
Federico Martı́nez Mexico
Aya Satoh Japan
Elizabeth G. Bromfield Australia
Kanako Inoue Japan
Mariko Harada relative to Dan Zhao China Dan Zhao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mariko Harada

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998126
2 199598
3 198573
4 199069
5 199565
6
Complete regression of xenografted human carcinomas by camptothecin analogue-carboxymethyl dextran conjugate (T-0128).
200064
7 201640
8 199239
9 198632
10 199129
11 202019
12 202119
13 201017
14 201517
15 202016
16 199016
17 198915
18 199213
19 202112
20 199812

About Mariko Harada

Mariko Harada is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 40 papers that have together received 859 indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (5 papers), Receptor Mechanisms and Signaling (5 papers), Insect and Pesticide Research (5 papers), Plant and animal studies (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Adipose Tissue and Metabolism (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Biochemistry (100 citations), Insect Science (85 citations), Plant Science (250 citations), Molecular Biology (352 citations) and Genetics (103 citations). Mariko Harada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuyuki Sugawara, Tomonobu Kusano, Thomas Berberich, Nobuhiro Suzuki, Hideto Kojima, Hiroaki Kodama, Koh Iba, Issei Takayanagi, Y. Shigeta and Y. Harano. Their work appears in journals such as Scientific Reports, Earth and Planetary Science Letters, Plant Molecular Biology, Clinica Chimica Acta and Journal of Clinical Biochemistry and Nutrition.

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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