Daichi Maeda
Impact in
- Urology top 0.5%
- Urinary Bladder and Prostate Research
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Ovarian cancer diagnosis and treatment 14
- Urology 12
- Urinary Bladder and Prostate Research 12
- Co-authors
- Masashi Fukayama (37 shared papers)Yukio Homma (16 shared papers)Ie‐Ming Shih (5 shared papers)Yoshiyuki Akiyama (14 shared papers)Akiteru Goto (34 shared papers)Teppei Morikawa (7 shared papers)Shunsuke Nakagawa (13 shared papers)Tetsu Yano (13 shared papers)
- Journals
- Scientific Reports (8 papers)Human Pathology (6 papers)Histopathology (5 papers)PLoS ONE (4 papers)Cancer Research (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Daichi Maeda
98 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 109
- Urology 565
- Reproductive Medicine 488
- Obstetrics and Gynecology 222
- Cancer Research 369
- Pathology and Forensic Medicine 333
Countries citing papers authored by Daichi Maeda
This map shows the geographic impact of Daichi Maeda'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 Daichi Maeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daichi Maeda more than expected).
Fields of papers citing papers by Daichi Maeda
This network shows the impact of papers produced by Daichi Maeda. 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 Daichi Maeda. The network helps show where Daichi Maeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Daichi Maeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 237 | |
| 2 | 2020 | 181 | |
| 3 | 2020 | 136 | |
| 4 | 2015 | 134 | |
| 5 | 2009 | 108 | |
| 6 | 2010 | 98 | |
| 7 | 2012 | 96 | |
| 8 | 2012 | 92 | |
| 9 | 2013 | 87 | |
| 10 | 2010 | 85 | |
| 11 | 2018 | 69 | |
| 12 | 2010 | 68 | |
| 13 | 2011 | 66 | |
| 14 | 2019 | 64 | |
| 15 | 2012 | 58 | |
| 16 | 2017 | 57 | |
| 17 | 2018 | 57 | |
| 18 | 2019 | 54 | |
| 19 | 2016 | 47 | |
| 20 | 2015 | 45 |
About Daichi Maeda
Daichi Maeda is a scholar working on Reproductive Medicine, Urology, Obstetrics and Gynecology, Dermatology and Pathology and Forensic Medicine, having authored 100 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (14 papers), Urinary Bladder and Prostate Research (12 papers), Uterine Myomas and Treatments (8 papers), Chromatin Remodeling and Cancer (7 papers), Urinary Tract Infections Management (6 papers), Endometrial and Cervical Cancer Treatments (6 papers), Cancer Genomics and Diagnostics (6 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Urology (565 citations), Reproductive Medicine (488 citations), Obstetrics and Gynecology (222 citations), Cancer Research (369 citations) and Pathology and Forensic Medicine (333 citations). Daichi Maeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masashi Fukayama, Yukio Homma, Ie‐Ming Shih, Yoshiyuki Akiyama, Akiteru Goto, Teppei Morikawa, Shunsuke Nakagawa, Tetsu Yano, Tsui-Lien Mao and Yuji Taketani. Their work appears in journals such as Scientific Reports, Human Pathology, Histopathology, PLoS ONE and Cancer Research.
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.