Mariko Iwasaki
- Molecular Biology top 10%
- Immunology top 5%
- Pediatrics, Perinatology and Child Health top 2%
- Oncology top 5%
- Organic Chemistry top 5%
- Co-authors
- Sadako InoueKazuaki ShimadaNobuyoshi HiraokaYae KanaiY InoRie Yamazaki–ItohT KosugeTakashi Okai
- Topics
- Glycosylation and Glycoproteins Research (21 papers)Carbohydrate Chemistry and Synthesis (12 papers)Prenatal Screening and Diagnostics (11 papers)
- Partner nations
- JapanItalyUnited Kingdom
In The Last Decade
Mariko Iwasaki
48 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 1.2k
- Immunology 638
- Pediatrics, Perinatology and Child Health 603
- Oncology 528
- Organic Chemistry 420
Countries citing papers authored by Mariko Iwasaki
This map shows the geographic impact of Mariko Iwasaki'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 Mariko Iwasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariko Iwasaki more than expected).
Fields of papers citing papers by Mariko Iwasaki
This network shows the impact of papers produced by Mariko Iwasaki. 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 Mariko Iwasaki. The network helps show where Mariko Iwasaki may publish in the future.
Co-authorship network of co-authors of Mariko Iwasaki
This figure shows the co-authorship network connecting the top 25 collaborators of Mariko Iwasaki. A scholar is included among the top collaborators of Mariko Iwasaki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariko Iwasaki. Mariko Iwasaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 17 | |
| 3 | Immune cell infiltration as an indicator of the immune microenvironment of pancreatic cancerbreakdown → | 654 |
| 4 | 43 | |
| 5 | 52 | |
| 6 | 49 | |
| 7 | 32 | |
| 8 | 44 | |
| 9 | 105 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | 14 | |
| 13 | 31 | |
| 14 | 65 | |
| 15 | 39 | |
| 16 | 10 | |
| 17 | Isolation and structures of the third major type of carbohydrate units in polysialoglycoproteins from rainbow trout eggs. | 4 |
| 18 | 3 | |
| 19 | 29 | |
| 20 | 11 |
About Mariko Iwasaki
Mariko Iwasaki is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Biotechnology, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (21 papers), Carbohydrate Chemistry and Synthesis (12 papers) and Prenatal Screening and Diagnostics (11 papers). The work is most often cited by research in Obstetrics and Gynecology (314 citations), Pediatrics, Perinatology and Child Health (603 citations) and Immunology (638 citations). Mariko Iwasaki has collaborated with scholars based in Japan, Italy and United Kingdom. Frequent co-authors include Sadako Inoue, Kazuaki Shimada, Nobuyoshi Hiraoka, Yae Kanai, Y Ino, Rie Yamazaki–Itoh, T Kosuge, Takashi Okai, Akihiko Sekizawa and Shintaro Inoue. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Scientific Reports.
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.