K. Tada
- Clinical Biochemistry top 0.2%
- Molecular Biology top 10%
- Biochemistry top 1%
- Pediatrics, Perinatology and Child Health top 5%
- Physiology
- Co-authors
- K. NarisawaKiyoshi HayasakaShigeaki MiyabayashiKazuie IinumaShuichi KUREYoichi MatsubaraM. TakayanagiShigeo Kure
- Topics
- Metabolism and Genetic Disorders (60 papers)Amino Acid Enzymes and Metabolism (21 papers)Biochemical and Molecular Research (18 papers)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
K. Tada
100 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 82
- Clinical Biochemistry 939
- Molecular Biology 889
- Biochemistry 339
- Pediatrics, Perinatology and Child Health 224
- Physiology 164
Countries citing papers authored by K. Tada
This map shows the geographic impact of K. Tada'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 K. Tada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Tada more than expected).
Fields of papers citing papers by K. Tada
This network shows the impact of papers produced by K. Tada. 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 K. Tada. The network helps show where K. Tada may publish in the future.
Co-authorship network of co-authors of K. Tada
This figure shows the co-authorship network connecting the top 25 collaborators of K. Tada. A scholar is included among the top collaborators of K. Tada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Tada. K. Tada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 35 | |
| 3 | [ACTH-independent bilateral adrenocortical macronodular hyperplasia (AIMAH): report of a case]. | 1 |
| 4 | Nonketotic hyperglycinemia. Molecular lesion and pathophysiology | 2 |
| 5 | 17 | |
| 6 | 71 | |
| 7 | 24 | |
| 8 | 40 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 28 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 33 | |
| 18 | 0 | |
| 19 | Deficiency of NK activity of HNK-1+ cells after transplantation of fetal thymus and liver or haploidentical soybean agglutinin-treated marrow cells in two severe combined immunodeficiency patients. | 1 |
| 20 | 10 |
About K. Tada
K. Tada is a scholar working on Clinical Biochemistry, Biochemistry and Pediatrics, Perinatology and Child Health, having authored 102 papers that have together received 1.6k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (60 papers), Amino Acid Enzymes and Metabolism (21 papers) and Biochemical and Molecular Research (18 papers). The work is most often cited by research in Clinical Biochemistry (939 citations), Biochemistry (339 citations) and Molecular Biology (889 citations). K. Tada has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include K. Narisawa, Kiyoshi Hayasaka, Shigeaki Miyabayashi, Kazuie Iinuma, Shuichi KURE, Yoichi Matsubara, M. Takayanagi, Shigeo Kure, Yutaka Igarashi and Yukio Kobayashi. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.
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.