Natsuko Kusunoki
- Pharmacology top 5%
- Molecular Biology
- Epidemiology
- Rheumatology top 5%
- Oncology
- Co-authors
- Shinichi KawaiRyuta YamazakiTakeshi MatsuzakiShusuke HashimotoKaichi KanekoToru SuguroTomoko HasunumaKanako Kitahara
- Topics
- Inflammatory mediators and NSAID effects (10 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)Rheumatoid Arthritis Research and Therapies (7 papers)
- Cited by
- PharmacologyRheumatologyEpidemiology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- Japan
In The Last Decade
Natsuko Kusunoki
31 papers receiving 814 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 245
- Molecular Biology 240
- Epidemiology 234
- Rheumatology 214
- Oncology 157
Countries citing papers authored by Natsuko Kusunoki
This map shows the geographic impact of Natsuko Kusunoki'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 Natsuko Kusunoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natsuko Kusunoki more than expected).
Fields of papers citing papers by Natsuko Kusunoki
This network shows the impact of papers produced by Natsuko Kusunoki. 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 Natsuko Kusunoki. The network helps show where Natsuko Kusunoki may publish in the future.
Co-authorship network of co-authors of Natsuko Kusunoki
This figure shows the co-authorship network connecting the top 25 collaborators of Natsuko Kusunoki. A scholar is included among the top collaborators of Natsuko Kusunoki 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 Natsuko Kusunoki. Natsuko Kusunoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 20 | |
| 4 | 18 | |
| 5 | 57 | |
| 6 | 13 | |
| 7 | Leptin stimulates interleukin-6 production via janus kinase 2/signal transducer and activator of transcription 3 in rheumatoid synovial fibroblasts. | 26 |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 0 | |
| 11 | 16 | |
| 12 | 60 | |
| 13 | 53 | |
| 14 | 6 | |
| 15 | A celecoxib derivative potently inhibits proliferation of colon adenocarcinoma cells by induction of apoptosis. | 7 |
| 16 | 21 | |
| 17 | 2 | |
| 18 | 66 | |
| 19 | 61 | |
| 20 | Inhibition of LysoPAF Acetyltransferase by the Ingredients from Lithospermum Root | 1 |
About Natsuko Kusunoki
Natsuko Kusunoki is a scholar working on Rheumatology, Pharmacology and Cancer Research, having authored 32 papers that have together received 827 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Rheumatoid Arthritis Research and Therapies (7 papers). The work is most often cited by research in Pharmacology (245 citations), Rheumatology (214 citations) and Epidemiology (234 citations). Natsuko Kusunoki has collaborated with scholars based in Japan. Frequent co-authors include Shinichi Kawai, Ryuta Yamazaki, Takeshi Matsuzaki, Shusuke Hashimoto, Kaichi Kaneko, Toru Suguro, Tomoko Hasunuma, Kanako Kitahara, Hirahito Endo and Toshihiro Nanki. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.