Miki Hashimura
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
Papers in
-
- Wnt/β-catenin signaling in development and cancer 13
- Cancer-related gene regulation 9
- S100 Proteins and Annexins 6
- TGF-β signaling in diseases 5
- Glycosylation and Glycoproteins Research 4
- Oncology 14
- Cancer Cells and Metastasis 7
- Cancer-related Molecular Pathways 5
- Co-authors
- Makoto Saegusa (55 shared papers)Isao Okayasu (21 shared papers)Takeshi Kuwata (14 shared papers)Tsutomu Yoshida (6 shared papers)Toshihide Matsumoto (19 shared papers)Yasuko Oguri (17 shared papers)Ako Yokoi (20 shared papers)Daisuke Machida (3 shared papers)
- Journals
- The Journal of Pathology (9 papers)American Journal Of Pathology (7 papers)Laboratory Investigation (4 papers)BMC Cancer (4 papers)Cell Communication and Signaling (3 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Miki Hashimura
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Obstetrics and Gynecology 171
- Reproductive Medicine 133
- Cancer Research 215
- Oncology 309
- Molecular Biology 632
Countries citing papers authored by Miki Hashimura
This map shows the geographic impact of Miki Hashimura'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 Miki Hashimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miki Hashimura more than expected).
Fields of papers citing papers by Miki Hashimura
This network shows the impact of papers produced by Miki Hashimura. 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 Miki Hashimura. The network helps show where Miki Hashimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Miki Hashimura, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 140 | |
| 2 | 2009 | 84 | |
| 3 | 1995 | 68 | |
| 4 | 2004 | 62 | |
| 5 | 1995 | 58 | |
| 6 | 2012 | 56 | |
| 7 | 2007 | 51 | |
| 8 | 2005 | 51 | |
| 9 | 2013 | 50 | |
| 10 | 2018 | 44 | |
| 11 | 1998 | 44 | |
| 12 | 2012 | 41 | |
| 13 | 1999 | 40 | |
| 14 | 1999 | 39 | |
| 15 | 2016 | 33 | |
| 16 | 1997 | 33 | |
| 17 | 2019 | 30 | |
| 18 | 2008 | 29 | |
| 19 | 1999 | 28 | |
| 20 | 1997 | 24 |
About Miki Hashimura
Miki Hashimura is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Immunology and Allergy, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (13 papers), Cancer-related gene regulation (9 papers), Cancer Cells and Metastasis (7 papers), S100 Proteins and Annexins (6 papers), Cancer-related Molecular Pathways (5 papers), TGF-β signaling in diseases (5 papers), Cell Adhesion Molecules Research (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Obstetrics and Gynecology (171 citations), Reproductive Medicine (133 citations), Cancer Research (215 citations), Oncology (309 citations) and Molecular Biology (632 citations). Miki Hashimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Makoto Saegusa, Isao Okayasu, Takeshi Kuwata, Tsutomu Yoshida, Toshihide Matsumoto, Yasuko Oguri, Ako Yokoi, Daisuke Machida, Hisako Inoue and Y Takano. Their work appears in journals such as The Journal of Pathology, American Journal Of Pathology, Laboratory Investigation, BMC Cancer and Cell Communication and Signaling.
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.