Y. Inaba
Impact in
- Biochemistry top 5%
- Eicosanoids and Hypertension Pharmacology
- Geriatrics and Gerontology top 10%
Papers in
- Cell Biology 10
- Biotin and Related Studies 7
- Co-authors
- Keiko Yamamoto (10 shared papers)Toshimasa Itoh (5 shared papers)Hiroshi Inoue (19 shared papers)Louise Fairall (1 shared paper)Bálint L. Bálint (1 shared paper)László Nagy (1 shared paper)Attila Szántó (1 shared paper)John W. R. Schwabe (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (5 papers)Nature Communications (3 papers)PLoS ONE (3 papers)Diabetes (2 papers)Endocrinology (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Y. Inaba
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Biochemistry 107
- Geriatrics and Gerontology 43
- Pathology and Forensic Medicine 187
- Molecular Biology 635
- Physiology 237
Countries citing papers authored by Y. Inaba
This map shows the geographic impact of Y. Inaba'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 Y. Inaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Inaba more than expected).
Fields of papers citing papers by Y. Inaba
This network shows the impact of papers produced by Y. Inaba. 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 Y. Inaba. The network helps show where Y. Inaba may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. Inaba, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 373 | |
| 2 | 2013 | 120 | |
| 3 | 2017 | 75 | |
| 4 | 2016 | 67 | |
| 5 | 2017 | 65 | |
| 6 | 2018 | 55 | |
| 7 | 2013 | 53 | |
| 8 | 2007 | 45 | |
| 9 | 2009 | 43 | |
| 10 | 2016 | 40 | |
| 11 | 2014 | 39 | |
| 12 | 2023 | 38 | |
| 13 | 2012 | 36 | |
| 14 | 2018 | 29 | |
| 15 | Toxicity study of europium chloride in rats. | 1995 | 27 |
| 16 | 2012 | 26 | |
| 17 | 2010 | 26 | |
| 18 | 2007 | 22 | |
| 19 | 2013 | 22 | |
| 20 | 2014 | 20 |
About Y. Inaba
Y. Inaba is a scholar working on Molecular Biology, Cell Biology, Physiology, Pathology and Forensic Medicine and Epidemiology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vitamin D Research Studies (8 papers), Adipose Tissue and Metabolism (7 papers), Biotin and Related Studies (7 papers), Pancreatic function and diabetes (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Estrogen and related hormone effects (6 papers), Drug Transport and Resistance Mechanisms (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Biochemistry (107 citations), Geriatrics and Gerontology (43 citations), Pathology and Forensic Medicine (187 citations), Molecular Biology (635 citations) and Physiology (237 citations). Y. Inaba has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keiko Yamamoto, Toshimasa Itoh, Hiroshi Inoue, Louise Fairall, Bálint L. Bálint, László Nagy, Attila Szántó, John W. R. Schwabe, Kumi Kimura and Michihiro Matsumoto. Their work appears in journals such as Journal of Medicinal Chemistry, Nature Communications, PLoS ONE, Diabetes and Endocrinology.
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.