Mari T. Minowa

1.2k citations
18 papers · 947 indexed · h-index 15

Mari T. Minowa

18 papers receiving 931 citations

Peers

Mari T. Minowa
Comparison fields: 5 of 72
  • Immunology 306
  • Molecular Biology 789
  • Cellular and Molecular Neuroscience 168
  • Organic Chemistry 190
  • Endocrinology, Diabetes and Metabolism 90
Replace James B. Bruns with:
James B. Bruns United States
Norbert Werth Germany
J M Allen United Kingdom
Tetsuo Yoshida Japan
Fu‐Yue Zeng United States
Fabrice Vandeput United States
Parvathi Nuthulaganti United States
Heather Hughes United States
Christopher Tudan Canada
André Laperrière Canada
Mari T. Minowa relative to James B. Bruns United States James B. Bruns's profile →
Citations per field
00.5×4.8×
James B. Bruns · 1×
Citations per year

Countries citing papers authored by Mari T. Minowa

Since Specialization
Citations

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

Fields of papers citing papers by Mari T. Minowa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 200633
2 2005339
3 20018
4 200039
5 199925
6
Unusually high expression of N-acetylglucosaminyltransferase-IVa in human choriocarcinoma cell lines: a possible enzymatic basis of the formation of abnormal biantennary sugar chain.
199938
7 199838
8 199840
9 199757
10 199611
11 199633
12 199623
13 199444
14
Promoter structure of the human gene coding for the D1A dopamine receptor.
19934
15 199328
16 199349
17 199264
18 199274

About Mari T. Minowa

Mari T. Minowa is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Genetics and Organic Chemistry, having authored 18 papers that have together received 947 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Receptor Mechanisms and Signaling (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Protein Degradation and Inhibitors (4 papers), Galectins and Cancer Biology (4 papers), Nuclear Receptors and Signaling (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Immunology (306 citations), Molecular Biology (789 citations), Cellular and Molecular Neuroscience (168 citations), Organic Chemistry (190 citations) and Endocrinology, Diabetes and Metabolism (90 citations). Mari T. Minowa has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include M. Maral Mouradian, Aruto Yoshida, Shinji Takamatsu, Takashi Minowa, Kazuaki Ohtsubo, Jamey D. Marth, Makoto Takeuchi, Makoto Takeuchi, Suguru Oguri and Hiroshi Ikenaga. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Proceedings of the National Academy of Sciences, Biochemistry and Cell.

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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