Maiko Fujimori

12.3k citations
500 papers · 9.1k indexed · h-index 51

Maiko Fujimori

459 papers receiving 8.8k citations

Peers

Maiko Fujimori
Comparison fields: 5 of 195
  • Biotechnology 653
  • Oncology 1.8k
  • Anesthesiology and Pain Medicine 353
  • Psychiatry and Mental health 684
  • General Health Professions 1.1k
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Citations per field
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Allan Clark · 1×
Citations per year

Countries citing papers authored by Maiko Fujimori

Since Specialization
Citations

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

Fields of papers citing papers by Maiko Fujimori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20243
5 20241
6 20231
7 20234
8 202324
9 20230
10 201818
11 20132
12 20101
13 2007100
14 20004
15 199873
16
Clinical significance of the increased multidrug resistance-associated protein (MRP) gene expression in patients with primary breast cancer.
199822
17
[Clinical study of postoperative sedation in pediatric patients--effects of inhalation anesthetics and postoperative analgesics].
19947
18
Epidural opioids for postoperative pain relief following hepatectomy.
19923
19
The role of the ultimobranchial gland in calcium metabolism of amphibians and reptiles.
19905
20
Studies on lipid components in Acetobacter
19783

About Maiko Fujimori

Maiko Fujimori is a scholar working on Anesthesiology and Pain Medicine, Oncology and Geriatrics and Gerontology, having authored 500 papers that have together received 9.1k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (57 papers), Cancer survivorship and care (37 papers), Patient-Provider Communication in Healthcare (33 papers), Childhood Cancer Survivors' Quality of Life (24 papers), Anesthesia and Pain Management (22 papers), Cancer Research and Treatments (17 papers), Family Support in Illness (17 papers) and Thyroid Cancer Diagnosis and Treatment (17 papers). The work is most often cited by research in Biotechnology (653 citations), Oncology (1.8k citations) and Anesthesiology and Pain Medicine (353 citations). Maiko Fujimori has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yosuke Uchitomi, Jun Amano, Shun’ichiro Taniguchi, Tatsuo Akechi, Nobuya Akizuki, Masatoshi Inagaki, Kazuyuki Yazawa, Hidekazu Yukioka, Mariko Asai and Tatsuya Morita. Their work appears in journals such as Psycho-Oncology, Journal of Clinical Oncology, Japanese Journal of Clinical Oncology, Anesthesia & Analgesia and Palliative & Supportive Care.

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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