Seiji Kanda
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Developmental Neuroscience top 10%
Papers in
-
- Gut microbiota and health 6
- Pluripotent Stem Cells Research 5
- Protein Hydrolysis and Bioactive Peptides 4
-
- Fatty Acid Research and Health 10
- Co-authors
- Toshimasa Nishiyama (48 shared papers)Shigeaki Ishizaka (5 shared papers)Kenji Fukunaga (23 shared papers)Masahide Yoshikawa (4 shared papers)Munehiro Yoshida (21 shared papers)Ryôta Hosomi (21 shared papers)Takatsugu Yamada (2 shared papers)Yoshiyuki Nakajima (1 shared paper)
- Journals
- Tropical Medicine and Health (6 papers)Journal of Food Science (3 papers)Foods (2 papers)Brain Research (2 papers)Stem Cells (2 papers)
- Partner nations
- JapanRwandaUnited States
In The Last Decade
Seiji Kanda
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Hepatology 172
- Developmental Neuroscience 50
- Aquatic Science 71
- Nutrition and Dietetics 135
- Sensory Systems 37
Countries citing papers authored by Seiji Kanda
This map shows the geographic impact of Seiji Kanda'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 Seiji Kanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiji Kanda more than expected).
Fields of papers citing papers by Seiji Kanda
This network shows the impact of papers produced by Seiji Kanda. 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 Seiji Kanda. The network helps show where Seiji Kanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Seiji Kanda, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 238 | |
| 2 | 2003 | 93 | |
| 3 | 2002 | 91 | |
| 4 | 2011 | 71 | |
| 5 | 2006 | 50 | |
| 6 | 2016 | 29 | |
| 7 | 2016 | 29 | |
| 8 | 2003 | 25 | |
| 9 | 2011 | 23 | |
| 10 | 2004 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2011 | 20 | |
| 13 | 2007 | 20 | |
| 14 | 2019 | 18 | |
| 15 | 2010 | 18 | |
| 16 | 2001 | 16 | |
| 17 | 2009 | 16 | |
| 18 | 2021 | 14 | |
| 19 | 2018 | 14 | |
| 20 | Effect of Fish Protein and Peptides on Lipid Absorption in Rats | 2010 | 13 |
About Seiji Kanda
Seiji Kanda is a scholar working on Molecular Biology, Nutrition and Dietetics, Surgery, Public Health, Environmental and Occupational Health and Cancer Research, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (10 papers), Cholesterol and Lipid Metabolism (7 papers), Gut microbiota and health (6 papers), Pluripotent Stem Cells Research (5 papers), Mosquito-borne diseases and control (5 papers), Diet and metabolism studies (5 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers) and Protein Hydrolysis and Bioactive Peptides (4 papers). The work is most often cited by research in Hepatology (172 citations), Developmental Neuroscience (50 citations), Aquatic Science (71 citations), Nutrition and Dietetics (135 citations) and Sensory Systems (37 citations). Seiji Kanda has collaborated with scholars based in Japan, Rwanda and United States. Frequent co-authors include Toshimasa Nishiyama, Shigeaki Ishizaka, Kenji Fukunaga, Masahide Yoshikawa, Munehiro Yoshida, Ryôta Hosomi, Takatsugu Yamada, Yoshiyuki Nakajima, Yōkō Kato and Yukio Tsunoda. Their work appears in journals such as Tropical Medicine and Health, Journal of Food Science, Foods, Brain Research and Stem Cells.
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.