Maiko Kimura

740 citations
28 papers · 587 · h-index 13

Impact in

Papers in

    • Chemical Synthesis and Analysis 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Peptidase Inhibition and Analysis 2
    • Cancer Treatment and Pharmacology 2

Maiko Kimura

27 papers receiving 583 citations

Peers

Maiko Kimura
Comparison fields: 5 of 72
  • Gastroenterology 32
  • Organic Chemistry 145
  • Biomaterials 62
  • Molecular Biology 319
  • Genetics 118
Replace Xuefeng Xia with:
Xuefeng Xia China
Keiji Ozeki Japan
Anil D’Souza United States
Hironobu Tsukamoto Japan
Aleksandra V. Sen’kova Russia
Jessica Gasparello Italy
Karl Quint Germany
Christine Pike France
Haiping Jiang China
Saroj K. Basak United States
Maiko Kimura relative to Xuefeng Xia China Xuefeng Xia's profile →
Citations per field
00.5×9.1×
Xuefeng Xia · 1×
Citations per year

Countries citing papers authored by Maiko Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200593
2 200581
3 201759
4 200844
5 201040
6 201540
7 200537
8 200532
9 200329
10 201225
11 201223
12 201615
13 201615
14 202412
15 202110
16 20228
17 20234
18 20234
19 20234
20 20123

About Maiko Kimura

Maiko Kimura is a scholar working on Molecular Biology, Oncology, Surgery, Hematology and Genetics, having authored 28 papers that have together received 587 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Inflammatory Bowel Disease (4 papers), Gastrointestinal disorders and treatments (3 papers), Chemical Synthesis and Analysis (3 papers), Lung Cancer Treatments and Mutations (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Gastroenterology (32 citations), Organic Chemistry (145 citations), Biomaterials (62 citations), Molecular Biology (319 citations) and Genetics (118 citations). Maiko Kimura has collaborated with scholars based in Japan. Frequent co-authors include Yoshiaki Kiso, Youhei Sohma, Yoshio Hayashi, Tooru Kimura, Atsuhiko Taniguchi, Yoh Dobashi, Hirochika Matsubara, Akishi Ooi, Katsuyoshi Matsuoka and K Takenaka. Their work appears in journals such as Transfusion, Human Pathology, Intestinal Research, Cancer and Journal of the American Chemical Society.

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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