Kayoko Sudo
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Biochemical and Molecular Research 7
- Epigenetics and DNA Methylation 6
- Glycosylation and Glycoproteins Research 3
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- Metabolism and Genetic Disorders 8
- Co-authors
- Masato Maekawa (26 shared papers)Takashi Kanno (13 shared papers)Steven S.‐L. Li (3 shared papers)Katsuhiro Fukutake (1 shared paper)Izumi Takeuchi (1 shared paper)Nishio Honda (1 shared paper)Shinji Kanda (4 shared papers)Kazuo Kotani (4 shared papers)
- Journals
- Clinica Chimica Acta (10 papers)Clinical Chemistry (5 papers)Biochemical and Biophysical Research Communications (4 papers)Human Genetics (3 papers)Clinical Biochemistry (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kayoko Sudo
35 papers receiving 666 citations
Peers
Comparison fields: 5 of 71
- Clinical Biochemistry 125
- Cancer Research 138
- Rheumatology 93
- Pharmacology 96
- Molecular Biology 331
Countries citing papers authored by Kayoko Sudo
This map shows the geographic impact of Kayoko Sudo'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 Kayoko Sudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayoko Sudo more than expected).
Fields of papers citing papers by Kayoko Sudo
This network shows the impact of papers produced by Kayoko Sudo. 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 Kayoko Sudo. The network helps show where Kayoko Sudo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kayoko Sudo, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 119 | |
| 2 | 1980 | 108 | |
| 3 | 1990 | 49 | |
| 4 | Estimation of the gene frequency of lactate dehydrogenase subunit deficiencies. | 1984 | 37 |
| 5 | 1976 | 36 | |
| 6 | 1997 | 35 | |
| 7 | 1977 | 31 | |
| 8 | 1991 | 28 | |
| 9 | 1995 | 23 | |
| 10 | 1999 | 20 | |
| 11 | 1994 | 18 | |
| 12 | 1975 | 18 | |
| 13 | 1983 | 18 | |
| 14 | 1984 | 16 | |
| 15 | 1985 | 14 | |
| 16 | 2004 | 13 | |
| 17 | 1986 | 13 | |
| 18 | 1990 | 13 | |
| 19 | 1993 | 13 | |
| 20 | 1985 | 11 |
About Kayoko Sudo
Kayoko Sudo is a scholar working on Molecular Biology, Clinical Biochemistry, Surgery, Pharmacology and Oncology, having authored 35 papers that have together received 716 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Biochemical and Molecular Research (7 papers), Epigenetics and DNA Methylation (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Pancreatitis Pathology and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Peptidase Inhibition and Analysis (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Clinical Biochemistry (125 citations), Cancer Research (138 citations), Rheumatology (93 citations), Pharmacology (96 citations) and Molecular Biology (331 citations). Kayoko Sudo has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masato Maekawa, Takashi Kanno, Steven S.‐L. Li, Katsuhiro Fukutake, Izumi Takeuchi, Nishio Honda, Shinji Kanda, Kazuo Kotani, Dilip Dey and Takashi Kanno. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry, Biochemical and Biophysical Research Communications, Human Genetics and Clinical Biochemistry.
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.