Mika Ito
- Obstetrics and Gynecology top 0.5%
- Pregnancy and preeclampsia studies 8
- Immunology top 1%
- Reproductive System and Pregnancy 20
- Immune Cell Function and Interaction 8
- Reproductive Medicine top 0.5%
- Endometriosis Research and Treatment 9
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- Pregnancy and Medication Impact 10
- Agronomy and Crop Science top 2%
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- Viral gastroenteritis research and epidemiology 11
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- Animal Virus Infections Studies 8
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- Preterm Birth and Chorioamnionitis 7
- Co-authors
- Shigeru SaitoTomoko ShimaAkitoshi NakashimaArihiro ShiozakiYasushi SasakiHiroshi AbeKumiko InadaSatoshi Yoneda
- Journals
- American Journal of Reproductive Immunology (8 papers)Journal of Reproductive Immunology (6 papers)Blood (4 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Mika Ito
136 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Obstetrics and Gynecology 1.1k
- Immunology 2.2k
- Reproductive Medicine 793
- Public Health, Environmental and Occupational Health 1.2k
- Agronomy and Crop Science 335
Countries citing papers authored by Mika Ito
This map shows the geographic impact of Mika Ito'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 Mika Ito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mika Ito more than expected).
Fields of papers citing papers by Mika Ito
This network shows the impact of papers produced by Mika Ito. 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 Mika Ito. The network helps show where Mika Ito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mika Ito, 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 | 2024 | 1 | |
| 2 | 2022 | 11 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 3 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 71 | |
| 9 | 2019 | 10 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 19 | |
| 13 | 2018 | 8 | |
| 14 | 2016 | 6 | |
| 15 | 2014 | 2 | |
| 16 | 2013 | 11 | |
| 17 | 2012 | 18 | |
| 18 | 2003 | 13 | |
| 19 | 1999 | 67 | |
| 20 | 1998 | 2 |
About Mika Ito
Mika Ito is a scholar working on Obstetrics and Gynecology, Immunology, Reproductive Medicine, Agronomy and Crop Science and Animal Science and Zoology, having authored 140 papers that have together received 4.8k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (20 papers), Viral gastroenteritis research and epidemiology (11 papers), Pregnancy and Medication Impact (10 papers), Endometriosis Research and Treatment (9 papers), Immune Cell Function and Interaction (8 papers), Pregnancy and preeclampsia studies (8 papers), Animal Virus Infections Studies (8 papers) and Preterm Birth and Chorioamnionitis (7 papers). The work is most often cited by research in Obstetrics and Gynecology (1.1k citations), Immunology (2.2k citations), Reproductive Medicine (793 citations), Public Health, Environmental and Occupational Health (1.2k citations) and Agronomy and Crop Science (335 citations). Mika Ito has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Shigeru Saito, Tomoko Shima, Akitoshi Nakashima, Arihiro Shiozaki, Yasushi Sasaki, Hiroshi Abe, Kumiko Inada, Satoshi Yoneda, J. Larry Jameson and Takao Hidaka. Their work appears in journals such as American Journal of Reproductive Immunology, Journal of Reproductive Immunology, Blood, Chemical Communications and The Journal of Physical Chemistry B.
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.