Hitoshi Kashiwagi
- Pharmacology top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Biochemistry top 5%
- Immunology
- Co-authors
- Fumitaka UshikubiYoh TakekumaMitsuru SugawaraShungo ImaiKoh-ichi YuhkiShuh NarumiyaTakayuki MiyaiTakayuki Fujino
- Topics
- Inflammatory mediators and NSAID effects (10 papers)Antimicrobial Resistance in Staphylococcus (9 papers)Antibiotics Pharmacokinetics and Efficacy (7 papers)
- Cited by
- BiochemistryPharmacologyToxicology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Hitoshi Kashiwagi
44 papers receiving 491 citations
Peers
Comparison fields: 5 of 96
- Pharmacology 150
- Molecular Biology 110
- Cardiology and Cardiovascular Medicine 85
- Biochemistry 85
- Immunology 53
Countries citing papers authored by Hitoshi Kashiwagi
This map shows the geographic impact of Hitoshi Kashiwagi'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 Hitoshi Kashiwagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Kashiwagi more than expected).
Fields of papers citing papers by Hitoshi Kashiwagi
This network shows the impact of papers produced by Hitoshi Kashiwagi. 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 Hitoshi Kashiwagi. The network helps show where Hitoshi Kashiwagi may publish in the future.
Co-authorship network of co-authors of Hitoshi Kashiwagi
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Kashiwagi. A scholar is included among the top collaborators of Hitoshi Kashiwagi 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 Hitoshi Kashiwagi. Hitoshi Kashiwagi 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 | 2 | |
| 3 | 9 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 31 | |
| 14 | 17 | |
| 15 | 11 | |
| 16 | 19 | |
| 17 | 67 | |
| 18 | 73 | |
| 19 | 37 | |
| 20 | Septicemia due to Aeromonas hydrophila in patients with acute leukemia: clinical and bacteriologial features and a possible beneficial effect on hematological remission. | 1 |
About Hitoshi Kashiwagi
Hitoshi Kashiwagi is a scholar working on Pharmacology, Toxicology and Geriatrics and Gerontology, having authored 48 papers that have together received 493 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). The work is most often cited by research in Biochemistry (85 citations), Pharmacology (150 citations) and Toxicology (25 citations). Hitoshi Kashiwagi has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Fumitaka Ushikubi, Yoh Takekuma, Mitsuru Sugawara, Shungo Imai, Koh-ichi Yuhki, Shuh Narumiya, Takayuki Miyai, Takayuki Fujino, Yuki Sato and Koh‐ichi Yuhki. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE 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.