M. Ueda
Impact in
- Hematology top 2%
- Erythropoietin and Anemia Treatment
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Ovarian cancer diagnosis and treatment
- Sperm and Testicular Function
Papers in
-
- CRISPR and Genetic Engineering 4
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 12
- Co-authors
- R Sasaki (4 shared papers)Seiji Masuda (2 shared papers)Kazumasa Yamagishi (1 shared paper)Masaki Okano (1 shared paper)Masaya Nagao (1 shared paper)M. Ueki (7 shared papers)Gosei Kawanishi (4 shared papers)Masaaki Goto (5 shared papers)
- Journals
- International Journal of Gynecological Cancer (5 papers)Blood (3 papers)Theriogenology (3 papers)Journal of Biological Chemistry (3 papers)Biologicals (2 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
M. Ueda
47 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Hematology 495
- Reproductive Medicine 231
- Genetics 126
- Obstetrics and Gynecology 90
- Oncology 260
Countries citing papers authored by M. Ueda
This map shows the geographic impact of M. Ueda'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 M. Ueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ueda more than expected).
Fields of papers citing papers by M. Ueda
This network shows the impact of papers produced by M. Ueda. 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 M. Ueda. The network helps show where M. Ueda may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Ueda, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 384 | |
| 2 | 1991 | 104 | |
| 3 | 1994 | 74 | |
| 4 | 1998 | 72 | |
| 5 | 1989 | 62 | |
| 6 | K-ras gene mutations in early colorectal cancer ... flat elevated vs polyp-forming cancer.... | 1995 | 54 |
| 7 | 2002 | 51 | |
| 8 | 1984 | 51 | |
| 9 | 1989 | 51 | |
| 10 | 1996 | 48 | |
| 11 | 1997 | 38 | |
| 12 | Apoptosis and tumor angiogenesis in cervical cancer after preoperative chemotherapy. | 1998 | 38 |
| 13 | 2002 | 34 | |
| 14 | 2006 | 29 | |
| 15 | 2002 | 27 | |
| 16 | 2006 | 22 | |
| 17 | 2002 | 20 | |
| 18 | 2007 | 19 | |
| 19 | 2001 | 16 | |
| 20 | 2006 | 16 |
About M. Ueda
M. Ueda is a scholar working on Molecular Biology, Oncology, Hematology, Reproductive Medicine and Genetics, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (11 papers), Biosimilars and Bioanalytical Methods (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Animal Genetics and Reproduction (5 papers), CRISPR and Genetic Engineering (4 papers), Reproductive Biology and Fertility (4 papers), Endometrial and Cervical Cancer Treatments (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Hematology (495 citations), Reproductive Medicine (231 citations), Genetics (126 citations), Obstetrics and Gynecology (90 citations) and Oncology (260 citations). M. Ueda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include R Sasaki, Seiji Masuda, Kazumasa Yamagishi, Masaki Okano, Masaya Nagao, M. Ueki, Gosei Kawanishi, Masaaki Goto, K. Akai and Hideo Chiba. Their work appears in journals such as International Journal of Gynecological Cancer, Blood, Theriogenology, Journal of Biological Chemistry and Biologicals.
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.