Daisuke Aoki

18 papers receiving 225 citations

Peers

Daisuke Aoki
Comparison fields: 5 of 53
  • Reproductive Medicine 88
  • Obstetrics and Gynecology 64
  • Cancer Research 36
  • Transplantation 6
  • Oncology 51
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Novikova Eg Russia
Daniela Freitas Brazil
Maria-Eulalia Fernández-Montolí Spain
Roberta Iadarola Italy
Caroline Humber United Kingdom
Harrie Hollema Netherlands
Eleonora Palluzzi Italy
Beata Śpiewankiewicz Poland
Graziana Ronzino Italy
Marcin Jędryka Poland
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Citations per field
00.5×1.7×
Novikova Eg · 1×
Citations per year

Countries citing papers authored by Daisuke Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201464
2 201854
3 200243
4 201729
5 20059
6 20178
7 20184
8 20144
9 20064
10 20193
11 20213
12
Effectiveness of third-line chemotherapy in recurrent ovarian cancer patients.
20153
13 20192
14 20201
15 20241
16 20211
17
[A case of neuroendocrine carcinoma of uterine cervix with the elevated plasma level of serotonin].
19961
18 20091
19 20030
20 20150

About Daisuke Aoki

Daisuke Aoki is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Pulmonary and Respiratory Medicine, Oncology and Genetics, having authored 21 papers that have together received 235 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Cancer Genomics and Diagnostics (3 papers), Nanoplatforms for cancer theranostics (2 papers), Genetic factors in colorectal cancer (2 papers), Organ and Tissue Transplantation Research (2 papers), BRCA gene mutations in cancer (2 papers) and Photodynamic Therapy Research Studies (2 papers). The work is most often cited by research in Reproductive Medicine (88 citations), Obstetrics and Gynecology (64 citations), Cancer Research (36 citations), Transplantation (6 citations) and Oncology (51 citations). Daisuke Aoki has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kouji Banno, Yusuke Matoba, Iori Kisu, Masataka Adachi, Eiichiro Tominaga, Yusuke Kobayashi, Megumi Yanokura, K. Nakamura, Akira Hirasawa and Hiroyuki Nomura. Their work appears in journals such as Photodiagnosis and Photodynamic Therapy, Biomedical Reports, International Journal of Gynecological Cancer, Japanese Journal of Clinical Oncology and Annals of Oncology.

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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