Naoko Iida
- Molecular Biology top 5%
- Cell Biology top 1%
- Oncology top 5%
- Cancer Research top 5%
- Immunology and Allergy top 2%
- Co-authors
- Lilly BourguignonVinata B. LokeshwarHongbo ZhuGary R. GrotendorstWilliam J. MullerRobert D. CardiffZeenat Gunja‐SmithToshikazu Ushijima
- Topics
- Glycosylation and Glycoproteins Research (15 papers)Proteoglycans and glycosaminoglycans research (12 papers)Epigenetics and DNA Methylation (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Naoko Iida
61 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.4k
- Cell Biology 818
- Oncology 464
- Cancer Research 338
- Immunology and Allergy 302
Countries citing papers authored by Naoko Iida
This map shows the geographic impact of Naoko Iida'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 Naoko Iida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naoko Iida more than expected).
Fields of papers citing papers by Naoko Iida
This network shows the impact of papers produced by Naoko Iida. 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 Naoko Iida. The network helps show where Naoko Iida may publish in the future.
Co-authorship network of co-authors of Naoko Iida
This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Iida. A scholar is included among the top collaborators of Naoko Iida 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 Naoko Iida. Naoko Iida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 50 | |
| 5 | 70 | |
| 6 | 37 | |
| 7 | 35 | |
| 8 | 39 | |
| 9 | 4 | |
| 10 | 31 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 229 | |
| 16 | 126 | |
| 17 | 23 | |
| 18 | 40 | |
| 19 | 64 | |
| 20 | Monoclonal antibodies directed to a disulfated glycosphingolipid, SB1a (GgOse4Cer-II3IV3-bis-sulfate), associated with human hepatocellular carcinoma. | 20 |
About Naoko Iida
Naoko Iida is a scholar working on Cell Biology, Physiology and Immunology and Allergy, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Proteoglycans and glycosaminoglycans research (12 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Cell Biology (818 citations), Immunology and Allergy (302 citations) and Cancer Research (338 citations). Naoko Iida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Lilly Bourguignon, Vinata B. Lokeshwar, Hongbo Zhu, Gary R. Grotendorst, William J. Muller, Robert D. Cardiff, Zeenat Gunja‐Smith, Toshikazu Ushijima, Lisha Zhang and Mien‐Chie Hung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.