Moito Iijima
Impact in
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
Papers in
-
- Cancer Genomics and Diagnostics 4
- Cancer, Lipids, and Metabolism 2
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- Genetic factors in colorectal cancer 3
- Cancer Mechanisms and Therapy 3
- Lymphoma Diagnosis and Treatment 2
- Co-authors
- Daisuke Aoki (9 shared papers)Kouji Banno (11 shared papers)K. Nakamura (12 shared papers)Yusuke Kobayashi (8 shared papers)Miho Iida (8 shared papers)Takashi Takeda (8 shared papers)Eiichiro Tominaga (8 shared papers)Masataka Adachi (8 shared papers)
- Journals
- Journal of Gynecologic Oncology (2 papers)Cancer Research (1 paper)Oncology Reports (1 paper)Oncotarget (1 paper)DNA repair (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Moito Iijima
16 papers receiving 308 citations
Peers
Comparison fields: 5 of 43
- Reproductive Medicine 92
- Obstetrics and Gynecology 70
- Cancer Research 81
- Pathology and Forensic Medicine 91
- Oncology 78
Countries citing papers authored by Moito Iijima
This map shows the geographic impact of Moito Iijima'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 Moito Iijima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moito Iijima more than expected).
Fields of papers citing papers by Moito Iijima
This network shows the impact of papers produced by Moito Iijima. 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 Moito Iijima. The network helps show where Moito Iijima may publish in the future.
Co-authors
The 25 scholars most cited alongside Moito Iijima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 143 | |
| 2 | 2017 | 47 | |
| 3 | 2017 | 30 | |
| 4 | 2019 | 28 | |
| 5 | 2017 | 14 | |
| 6 | 2016 | 11 | |
| 7 | 2017 | 9 | |
| 8 | 2018 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2021 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2015 | 0 |
About Moito Iijima
Moito Iijima is a scholar working on Cancer Research, Pathology and Forensic Medicine, Obstetrics and Gynecology, Surgery and Reproductive Medicine, having authored 18 papers that have together received 315 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (5 papers), Cancer Genomics and Diagnostics (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer Mechanisms and Therapy (3 papers), Cancer, Lipids, and Metabolism (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Gynecological conditions and treatments (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Reproductive Medicine (92 citations), Obstetrics and Gynecology (70 citations), Cancer Research (81 citations), Pathology and Forensic Medicine (91 citations) and Oncology (78 citations). Moito Iijima has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Daisuke Aoki, Kouji Banno, K. Nakamura, Yusuke Kobayashi, Miho Iida, Takashi Takeda, Eiichiro Tominaga, Masataka Adachi, Kenta Masuda and Megumi Yanokura. Their work appears in journals such as Journal of Gynecologic Oncology, Cancer Research, Oncology Reports, Oncotarget and DNA repair.
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.