N. Yasuda
- Co-authors
- Newton E. MortonM. P. MiH. KriegerEliane AzevêdoAdemar Freire‐MaiaK KondoL. L. Cavalli‐SforzaMark H. Skolnick
- Topics
- Genetic Associations and Epidemiology (3 papers)Genetic and phenotypic traits in livestock (3 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)
- Cited by
- GeneticsHematology
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
N. Yasuda
23 papers receiving 447 citations
Peers
Comparison fields: 5 of 106
- Genetics 243
- Molecular Biology 87
- Hematology 59
- Sociology and Political Science 41
- Genetics 37
Countries citing papers authored by N. Yasuda
This map shows the geographic impact of N. Yasuda'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 N. Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Yasuda more than expected).
Fields of papers citing papers by N. Yasuda
This network shows the impact of papers produced by N. Yasuda. 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 N. Yasuda. The network helps show where N. Yasuda may publish in the future.
Co-authorship network of co-authors of N. Yasuda
This figure shows the co-authorship network connecting the top 25 collaborators of N. Yasuda. A scholar is included among the top collaborators of N. Yasuda 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 N. Yasuda. N. Yasuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | Caffeine consumption among medical students. | 1 |
| 6 | Evidence for HLA-linked and Gm-linked genes in Graves disease. | 7 |
| 7 | Transition matrices with mutation. | 3 |
| 8 | 34 | |
| 9 | HLA antigens in Japanese populations. | 8 |
| 10 | A counting method of maximum likelihood for estimating haplotype frequency in the HL-A system. | 24 |
| 11 | 64 | |
| 12 | Genetic studies on inbreeding in some Japanese populations. 13. A genetic study of congenital deafness. | 3 |
| 13 | 7 | |
| 14 | The estimation of the variance effective population number based on gene frequency. | 2 |
| 15 | [Gene frequency estimation by a counting method]. | 7 |
| 16 | Population structure of the ABO blood groups in Switzerland. | 18 |
| 17 | An extension of Wahlund's principle to evaluate mating ty frequency. | 35 |
| 18 | Bivalent alleles. | 2 |
| 19 | 8 | |
| 20 | ESTIMATION OF PREVALENCE UNDER INCOMPLETE SELECTION. | 41 |
About N. Yasuda
N. Yasuda is a scholar working on Genetics, Immunology and Allergy and Management of Technology and Innovation, having authored 24 papers that have together received 533 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). The work is most often cited by research in Genetics (243 citations), Hematology (59 citations) and Genetics (37 citations). N. Yasuda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Newton E. Morton, M. P. Mi, H. Krieger, Eliane Azevêdo, Ademar Freire‐Maia, K Kondo, L. L. Cavalli‐Sforza, Mark H. Skolnick, Antonio Moroni and Katsunori Tsuji. Their work appears in journals such as Journal of Medical Genetics, Theoretical Population Biology and Annals of Human 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.