M. Ueda
Impact in
- Hematology top 2%
- Erythropoietin and Anemia Treatment
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment
- Sperm and Testicular Function
Papers in
-
- CRISPR and Genetic Engineering 4
- Oncology 12
- Co-authors
- R Sasaki (4 shared papers)Seiji Masuda (2 shared papers)Kazumasa Yamagishi (1 shared paper)Masaya Nagao (1 shared paper)Masaki Okano (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)Theriogenology (3 papers)Blood (3 papers)Journal of Biological Chemistry (3 papers)The Journal of Biochemistry (2 papers)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
M. Ueda
46 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Hematology 485
- Reproductive Medicine 196
- Genetics 115
- Oncology 218
- Obstetrics and Gynecology 59
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 | 383 | |
| 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 | 1989 | 51 | |
| 8 | 2002 | 51 | |
| 9 | 1984 | 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 | 1992 | 16 | |
| 20 | 2001 | 16 |
About M. Ueda
M. Ueda is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Immunology, 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), Animal Genetics and Reproduction (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Reproductive Biology and Fertility (4 papers), CRISPR and Genetic Engineering (4 papers), Cervical Cancer and HPV Research (3 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Hematology (485 citations), Reproductive Medicine (196 citations), Genetics (115 citations), Oncology (218 citations) and Obstetrics and Gynecology (59 citations). M. Ueda has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include R Sasaki, Seiji Masuda, Kazumasa Yamagishi, Masaya Nagao, Masaki Okano, M. Ueki, Gosei Kawanishi, Masaaki Goto, K. Akai and Hideo Chiba. Their work appears in journals such as International Journal of Gynecological Cancer, Theriogenology, Blood, Journal of Biological Chemistry and The Journal of Biochemistry.
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.