Hitoshi Mikami
- Molecular Biology
- Genetics
- Clinical Biochemistry top 5%
- Animal Science and Zoology top 10%
- Rheumatology
- Co-authors
- H. T. FredeenKuniaki NarisawaMasahito OgasawaraAkira ŌnishiIkuo OkadaYoichi MatsubaraHiroshi KusumotoHirofumi Yasue
- Topics
- Genetic and phenotypic traits in livestock (14 papers)Metabolism and Genetic Disorders (11 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)
In The Last Decade
Hitoshi Mikami
44 papers receiving 405 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 175
- Genetics 169
- Clinical Biochemistry 112
- Animal Science and Zoology 69
- Rheumatology 56
Countries citing papers authored by Hitoshi Mikami
This map shows the geographic impact of Hitoshi Mikami'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 Hitoshi Mikami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Mikami more than expected).
Fields of papers citing papers by Hitoshi Mikami
This network shows the impact of papers produced by Hitoshi Mikami. 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 Hitoshi Mikami. The network helps show where Hitoshi Mikami may publish in the future.
Co-authorship network of co-authors of Hitoshi Mikami
This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Mikami. A scholar is included among the top collaborators of Hitoshi Mikami 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 Hitoshi Mikami. Hitoshi Mikami 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 | 5 | |
| 3 | 22 | |
| 4 | 6 | |
| 5 | 24 | |
| 6 | 16 | |
| 7 | 21 | |
| 8 | Molecular analysis of methylmalonic acidemia: Identification of novel mutations in the methylmalonyl-CoA mutase gene with decreased level of mutant mRNA | 1 |
| 9 | Development of Techniques and Breeding Strategies for Pig Strain Improvement in Japan | 1 |
| 10 | 15 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 6 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | Effectiveness of index selection in seven swine strains. | 1 |
| 19 | 21 | |
| 20 | 1 |
About Hitoshi Mikami
Hitoshi Mikami is a scholar working on Clinical Biochemistry, Animal Science and Zoology and Genetics, having authored 50 papers that have together received 435 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (14 papers), Metabolism and Genetic Disorders (11 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). The work is most often cited by research in Clinical Biochemistry (112 citations), Animal Science and Zoology (69 citations) and Genetics (169 citations). Hitoshi Mikami has collaborated with scholars based in Japan, Canada and Australia. Frequent co-authors include H. T. Fredeen, Kuniaki Narisawa, Masahito Ogasawara, Akira Ōnishi, Ikuo Okada, Yoichi Matsubara, Hiroshi Kusumoto, Hirofumi Yasue, Shigeo Kure and Tomiji AKITA. Their work appears in journals such as Biochemical and Biophysical Research Communications, The American Journal of Human Genetics and Human Molecular 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.