Hideko Nagasawa
- Molecular Biology top 5%
- Organic Chemistry top 1%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Co-authors
- Satoshi UedaTasuku HirayamaHitoshi HoriYoshihiro UtoK OkudaMasato NiwaGregg L. SemenzaKaoru Fuji
- Topics
- Cancer, Hypoxia, and Metabolism (48 papers)Nanoplatforms for cancer theranostics (22 papers)Trace Elements in Health (13 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- JapanUnited StatesCzechia
In The Last Decade
Hideko Nagasawa
189 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 2.4k
- Organic Chemistry 1.8k
- Cancer Research 1.0k
- Pulmonary and Respiratory Medicine 694
- Oncology 656
Countries citing papers authored by Hideko Nagasawa
This map shows the geographic impact of Hideko Nagasawa'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 Hideko Nagasawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideko Nagasawa more than expected).
Fields of papers citing papers by Hideko Nagasawa
This network shows the impact of papers produced by Hideko Nagasawa. 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 Hideko Nagasawa. The network helps show where Hideko Nagasawa may publish in the future.
Co-authorship network of co-authors of Hideko Nagasawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hideko Nagasawa. A scholar is included among the top collaborators of Hideko Nagasawa 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 Hideko Nagasawa. Hideko Nagasawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Lysosomal lipid peroxidation contributes to ferroptosis induction via lysosomal membrane permeabilizationbreakdown → | 20 |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 34 | |
| 6 | 11 | |
| 7 | 26 | |
| 8 | 19 | |
| 9 | 64 | |
| 10 | 98 | |
| 11 | 238 | |
| 12 | 333 | |
| 13 | Structure-based design of the antitumor 2-hydroxyarylidene-4-cyclopentene-1,3-dione TX-1123 as a protein tyrosine kinase inhibitor having low mitochondrial toxicity | 2 |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 53 | |
| 17 | 5 | |
| 18 | 8 | |
| 19 | 4 | |
| 20 | 12 |
About Hideko Nagasawa
Hideko Nagasawa is a scholar working on Cancer Research, Biotechnology and Biological Psychiatry, having authored 195 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (48 papers), Nanoplatforms for cancer theranostics (22 papers) and Trace Elements in Health (13 papers). The work is most often cited by research in Cancer Research (1.0k citations), Organic Chemistry (1.8k citations) and Insect Science (463 citations). Hideko Nagasawa has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Satoshi Ueda, Tasuku Hirayama, Hitoshi Hori, Yoshihiro Uto, K Okuda, Masato Niwa, Gregg L. Semenza, Kaoru Fuji, Manabu Node and Balaji Krishnamachary. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.