Yu Ishima
Impact in
- Nephrology top 1%
- Dialysis and Renal Disease Management
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in ⓘ
-
- Protein Interaction Studies and Fluorescence Analysis 23
- RNA Interference and Gene Delivery 16
- Heme Oxygenase-1 and Carbon Monoxide 12
- Immunology 29
- Immunotherapy and Immune Responses 19
- Co-authors
- Masaki Otagiri (80 shared papers)Tatsuhiro Ishida (62 shared papers)Hiroshi Watanabe (57 shared papers)Taro Shimizu (51 shared papers)Toru Maruyama (42 shared papers)Hidenori Ando (42 shared papers)Toru Maruyama (39 shared papers)Victor Tuan Giam Chuang (36 shared papers)
In The Last Decade
Yu Ishima
141 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Nephrology 534
- Biomaterials 612
- Biochemistry 264
- Molecular Biology 2.0k
- Physiology 602
Countries citing papers authored by Yu Ishima
This map shows the geographic impact of Yu Ishima'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 Yu Ishima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Ishima more than expected).
Fields of papers citing papers by Yu Ishima
This network shows the impact of papers produced by Yu Ishima. 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 Yu Ishima. The network helps show where Yu Ishima may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Ishima, 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 306 | |
| 2 | Polyethylene glycol (PEG): The nature, immunogenicity, and role in the hypersensitivity of PEGylated products Hit paper breakdown → | 2022 | 286 |
| 3 | 2014 | 161 | |
| 4 | 2016 | 146 | |
| 5 | 2010 | 130 | |
| 6 | 2017 | 124 | |
| 7 | 2017 | 120 | |
| 8 | 1997 | 109 | |
| 9 | 2012 | 75 | |
| 10 | 2014 | 69 | |
| 11 | 2018 | 66 | |
| 12 | 2019 | 65 | |
| 13 | 2018 | 62 | |
| 14 | 2021 | 58 | |
| 15 | 2021 | 55 | |
| 16 | 2013 | 53 | |
| 17 | 2006 | 52 | |
| 18 | 2012 | 50 | |
| 19 | 2015 | 46 | |
| 20 | 2012 | 45 |
About Yu Ishima
Yu Ishima is a scholar working on Molecular Biology, Immunology, Physiology, Biomaterials and Cell Biology, having authored 143 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (23 papers), Nanoparticle-Based Drug Delivery (19 papers), Immunotherapy and Immune Responses (19 papers), Nitric Oxide and Endothelin Effects (16 papers), RNA Interference and Gene Delivery (16 papers), Hemoglobin structure and function (14 papers), Heme Oxygenase-1 and Carbon Monoxide (12 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). The work is most often cited by research in Nephrology (534 citations), Biomaterials (612 citations), Biochemistry (264 citations), Molecular Biology (2.0k citations) and Physiology (602 citations). Yu Ishima has collaborated with scholars based in Japan, Australia and Egypt. Frequent co-authors include Masaki Otagiri, Tatsuhiro Ishida, Hiroshi Watanabe, Taro Shimizu, Toru Maruyama, Hidenori Ando, Toru Maruyama, Victor Tuan Giam Chuang, Sherif E. Emam and Amr S. Abu Lila. Their work appears in journals such as Journal of Controlled Release, Biological and Pharmaceutical Bulletin, Journal of Pharmaceutical Sciences, Molecular Pharmaceutics and International Journal of Pharmaceutics.
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.