Akito Kitano
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Biochemistry top 5%
- Biochemical Acid Research Studies
- Amino Acid Enzymes and Metabolism
Papers in
-
- Metabolism and Genetic Disorders 15
-
- Mitochondrial Function and Pathology 3
- Biochemical and Molecular Research 3
- Co-authors
- F. Endo (9 shared papers)Iwao Matsuda (11 shared papers)Akito Tanoue (5 shared papers)M S Patel (1 shared paper)Carmen Arizmendi (1 shared paper)Ichiro Matsuda (5 shared papers)Fumio Endo (4 shared papers)Izumi Akaboshi (2 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (6 papers)Journal of Clinical Investigation (3 papers)Neurology (2 papers)The Journal of Biochemistry (2 papers)Brain and Development (2 papers)
- Partner nations
- JapanAustraliaNetherlands
In The Last Decade
Akito Kitano
25 papers receiving 379 citations
Peers
Comparison fields: 5 of 59
- Clinical Biochemistry 196
- Biochemistry 119
- Oncology 89
- Molecular Biology 206
- Cancer Research 37
Countries citing papers authored by Akito Kitano
This map shows the geographic impact of Akito Kitano'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 Akito Kitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akito Kitano more than expected).
Fields of papers citing papers by Akito Kitano
This network shows the impact of papers produced by Akito Kitano. 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 Akito Kitano. The network helps show where Akito Kitano may publish in the future.
Co-authors
The 25 scholars most cited alongside Akito Kitano, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 66 | |
| 2 | 1983 | 47 | |
| 3 | 1987 | 47 | |
| 4 | 1990 | 31 | |
| 5 | 1990 | 25 | |
| 6 | 1994 | 23 | |
| 7 | 1996 | 21 | |
| 8 | 1987 | 20 | |
| 9 | 1997 | 16 | |
| 10 | 1986 | 15 | |
| 11 | 2008 | 13 | |
| 12 | 1994 | 12 | |
| 13 | 1988 | 9 | |
| 14 | 1985 | 7 | |
| 15 | 1990 | 7 | |
| 16 | 1989 | 6 | |
| 17 | Chest circumference in infancy predicts obesity in 3-year-old children. | 2012 | 5 |
| 18 | 1989 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 1986 | 3 |
About Akito Kitano
Akito Kitano is a scholar working on Clinical Biochemistry, Molecular Biology, Biochemistry, Oncology and Pediatrics, Perinatology and Child Health, having authored 25 papers that have together received 389 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (15 papers), Biochemical Acid Research Studies (6 papers), Peptidase Inhibition and Analysis (5 papers), Amino Acid Enzymes and Metabolism (3 papers), Mitochondrial Function and Pathology (3 papers), Biochemical and Molecular Research (3 papers), Neuropeptides and Animal Physiology (3 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Clinical Biochemistry (196 citations), Biochemistry (119 citations), Oncology (89 citations), Molecular Biology (206 citations) and Cancer Research (37 citations). Akito Kitano has collaborated with scholars based in Japan, Australia and Netherlands. Frequent co-authors include F. Endo, Iwao Matsuda, Akito Tanoue, M S Patel, Carmen Arizmendi, Ichiro Matsuda, Fumio Endo, Izumi Akaboshi, Yasuhiro Indo and Tadashi Yoshimoto. Their work appears in journals such as Journal of Inherited Metabolic Disease, Journal of Clinical Investigation, Neurology, The Journal of Biochemistry and Brain and Development.
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.