Jun Kido
Impact in
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders
- Hepatology top 5%
- Hepatitis Viruses Studies and Epidemiology
Papers in
-
- Metabolism and Genetic Disorders 34
- Biochemistry 12
- Amino Acid Enzymes and Metabolism 11
- Co-authors
- Kimitoshi Nakamura (68 shared papers)Fumio Endo (26 shared papers)Hiroshi Mitsubuchi (21 shared papers)Shirou Matsumoto (9 shared papers)Shirou Matsumoto (32 shared papers)Takaaki Sawada (22 shared papers)Keishin Sugawara (28 shared papers)Johannes Häberle (9 shared papers)
- Journals
- Journal of Inherited Metabolic Disease (6 papers)International Archives of Allergy and Immunology (4 papers)Molecular Genetics and Metabolism (4 papers)Pediatric Transplantation (3 papers)Frontiers in Genetics (2 papers)
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Jun Kido
80 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Clinical Biochemistry 477
- Hepatology 152
- Biochemistry 116
- Physiology 363
- Rheumatology 164
Countries citing papers authored by Jun Kido
This map shows the geographic impact of Jun Kido'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 Jun Kido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kido more than expected).
Fields of papers citing papers by Jun Kido
This network shows the impact of papers produced by Jun Kido. 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 Jun Kido. The network helps show where Jun Kido may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kido, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 154 | |
| 2 | 1999 | 140 | |
| 3 | 2011 | 95 | |
| 4 | 2017 | 91 | |
| 5 | 2020 | 51 | |
| 6 | 2020 | 49 | |
| 7 | 2019 | 46 | |
| 8 | 2019 | 37 | |
| 9 | 2006 | 31 | |
| 10 | 2016 | 29 | |
| 11 | 2014 | 28 | |
| 12 | 2013 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2018 | 25 | |
| 15 | 2022 | 25 | |
| 16 | 2022 | 24 | |
| 17 | 2022 | 24 | |
| 18 | 2017 | 24 | |
| 19 | 2023 | 24 | |
| 20 | 2021 | 21 |
About Jun Kido
Jun Kido is a scholar working on Clinical Biochemistry, Biochemistry, Immunology and Allergy, Pediatrics, Perinatology and Child Health and Physiology, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (34 papers), Lysosomal Storage Disorders Research (16 papers), Neonatal Health and Biochemistry (14 papers), Amino Acid Enzymes and Metabolism (11 papers), Glycogen Storage Diseases and Myoclonus (10 papers), Food Allergy and Anaphylaxis Research (10 papers), Biochemical and Molecular Research (9 papers) and Mitochondrial Function and Pathology (9 papers). The work is most often cited by research in Clinical Biochemistry (477 citations), Hepatology (152 citations), Biochemistry (116 citations), Physiology (363 citations) and Rheumatology (164 citations). Jun Kido has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Kimitoshi Nakamura, Fumio Endo, Hiroshi Mitsubuchi, Shirou Matsumoto, Shirou Matsumoto, Takaaki Sawada, Keishin Sugawara, Johannes Häberle, Ken Momosaki and Laura A. Lancón Rivera. Their work appears in journals such as Journal of Inherited Metabolic Disease, International Archives of Allergy and Immunology, Molecular Genetics and Metabolism, Pediatric Transplantation and Frontiers in Genetics.
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.