Midori Abe

1.1k citations
33 papers · 963 · h-index 15

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Polyamine Metabolism and Applications 4
    • Proteoglycans and glycosaminoglycans research 5

Midori Abe

33 papers receiving 911 citations

Peers

Midori Abe
Comparison fields: 5 of 103
  • Nature and Landscape Conservation 162
  • Immunology 199
  • Agronomy and Crop Science 100
  • Oncology 220
  • Orthopedics and Sports Medicine 64
Replace Marcela Yamamoto with:
Marcela Yamamoto Brazil
Maurício Camargo Colombia
Tomoko Takahashi Japan
Bruce Moran Ireland
William Grey United States
Kohji Uchida Japan
Rafaella Franch Italy
Sharmistha Bhattacharyya India
Hongwei Liang China
Julie Catusse Germany
Midori Abe relative to Marcela Yamamoto Brazil Marcela Yamamoto's profile →
Citations per field
00.5×10×12.5×
Marcela Yamamoto · 1×
Citations per year

Countries citing papers authored by Midori Abe

Since Specialization
Citations

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

Fields of papers citing papers by Midori Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991298
2 1992103
3 200190
4 200860
5 199759
6 200347
7 197730
8 200827
9 200626
10 199626
11 197724
12 200723
13 197716
14 197716
15 197615
16 200314
17 197613
18 197911
19 198211
20 20119

About Midori Abe

Midori Abe is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Nature and Landscape Conservation and Clinical Biochemistry, having authored 33 papers that have together received 963 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Metabolism and Genetic Disorders (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Polyamine Metabolism and Applications (4 papers), Lipid metabolism and biosynthesis (3 papers) and Carbohydrate Chemistry and Synthesis (3 papers). The work is most often cited by research in Nature and Landscape Conservation (162 citations), Immunology (199 citations), Agronomy and Crop Science (100 citations), Oncology (220 citations) and Orthopedics and Sports Medicine (64 citations). Midori Abe has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Toshio Suda, Shumpei Niida, M Nose, Hiroaki Kodama, Akira Yamasaki, Masayoshi Kumegawa, Hideo Miguchi, Tohru Nakashizuka, Shin‐Ichiro Nishimura and Sei‐itsu Murota. Their work appears in journals such as Prostaglandins, The Journal of Experimental Medicine, Bioscience Biotechnology and Biochemistry, Forest Ecology and Management and Cells Tissues Organs.

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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