Hidehiko Furukawa
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Cancer Research top 2%
- Organic Chemistry top 5%
- Co-authors
- Mitsuru OnoTetsuya ShimizugawaRyuta KoishiYukio AndoMitsuru ShimamuraKenichi YoshidaToshinori AgatsumaHiroaki Yasumo
- Topics
- HIV Research and Treatment (8 papers)Lipid metabolism and disorders (8 papers)HIV/AIDS drug development and treatment (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismCancer Research
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Hidehiko Furukawa
34 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 112
- Cardiology and Cardiovascular Medicine 1.5k
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 907
- Cancer Research 672
- Organic Chemistry 406
Countries citing papers authored by Hidehiko Furukawa
This map shows the geographic impact of Hidehiko Furukawa'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 Hidehiko Furukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hidehiko Furukawa more than expected).
Fields of papers citing papers by Hidehiko Furukawa
This network shows the impact of papers produced by Hidehiko Furukawa. 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 Hidehiko Furukawa. The network helps show where Hidehiko Furukawa may publish in the future.
Co-authorship network of co-authors of Hidehiko Furukawa
This figure shows the co-authorship network connecting the top 25 collaborators of Hidehiko Furukawa. A scholar is included among the top collaborators of Hidehiko Furukawa 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 Hidehiko Furukawa. Hidehiko Furukawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 177 | |
| 3 | 109 | |
| 4 | 46 | |
| 5 | 71 | |
| 6 | 63 | |
| 7 | 70 | |
| 8 | 99 | |
| 9 | 182 | |
| 10 | 488 | |
| 11 | 91 | |
| 12 | 85 | |
| 13 | 344 | |
| 14 | 303 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | 36 | |
| 18 | 12 | |
| 19 | 16 | |
| 20 | 12 |
About Hidehiko Furukawa
Hidehiko Furukawa is a scholar working on Virology, Cardiology and Cardiovascular Medicine and Physiology, having authored 34 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), Lipid metabolism and disorders (8 papers) and HIV/AIDS drug development and treatment (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (907 citations) and Cancer Research (672 citations). Hidehiko Furukawa has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Mitsuru Ono, Tetsuya Shimizugawa, Ryuta Koishi, Yukio Ando, Mitsuru Shimamura, Kenichi Yoshida, Toshinori Agatsuma, Hiroaki Yasumo, Yuichi Sugano and Ichiro Hayakawa. Their work appears in journals such as Nucleic Acids Research, 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.