Ayako Mitsuma

738 citations
43 papers · 561 · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Treatment and Pharmacology
    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Treatment and Pharmacology 8
    • Pancreatic and Hepatic Oncology Research 4
    • Colorectal Cancer Treatments and Studies 3
    • Neutropenia and Cancer Infections 3
    • PI3K/AKT/mTOR signaling in cancer 3

Ayako Mitsuma

40 papers receiving 554 citations

Peers

Ayako Mitsuma
Comparison fields: 5 of 64
  • Oncology 254
  • Hematology 51
  • Pharmacology 30
  • Endocrinology, Diabetes and Metabolism 54
  • Genetics 32
Replace Risu Na with:
Risu Na China
Hye‐Jin Son South Korea
Terry O’Reilly United States
Alex L.T. Imholz Netherlands
Maria Merino United States
Vilmos Adleff Hungary
N Dobbs United Kingdom
Valerie Relias United States
David Saavedra-Pérez Spain
Zelin Liu China
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Citations per year

Countries citing papers authored by Ayako Mitsuma

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Mitsuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201475
2 201055
3 201045
4 201140
5 201634
6 201333
7 201229
8 201321
9 201320
10 201417
11 201116
12 201416
13 201515
14 201513
15 201612
16 201511
17 202411
18 199811
19 20167
20 20057

About Ayako Mitsuma

Ayako Mitsuma is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Hematology, having authored 43 papers that have together received 561 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Chronic Lymphocytic Leukemia Research (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Colorectal Cancer Treatments and Studies (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Neutropenia and Cancer Infections (3 papers). The work is most often cited by research in Oncology (254 citations), Hematology (51 citations), Pharmacology (30 citations), Endocrinology, Diabetes and Metabolism (54 citations) and Genetics (32 citations). Ayako Mitsuma has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yukio Ando, Sachi Morita, Masataka Sawaki, Tomoya Shimokata, Takashi Shibata, Keisuke Uehara, Tomoyo Oguri, Toshihiko Doi, Naoko Suenaga and Ken‐ichi Fujita. Their work appears in journals such as Annals of Oncology, Cancer Science, Cancer Chemotherapy and Pharmacology, Molecular Cancer Therapeutics and Breast Cancer.

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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