H Nomura
- Molecular Biology
- Immunology top 5%
- Oncology top 10%
- Genetics top 10%
- Hematology top 5%
- Co-authors
- S AsanoMasayoshi OnoN. KubotaMasayoshi Oh‐edaMayuko TamuraShigekazu NagataIkuo ImazekiKunihiro Hattori
- Topics
- Immune Response and Inflammation (11 papers)Blood disorders and treatments (4 papers)Fish biology, ecology, and behavior (4 papers)
- Cited by
- ImmunologyHematologyOncology
- Partner nations
- JapanUnited StatesBrazil
In The Last Decade
H Nomura
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 498
- Immunology 458
- Oncology 360
- Genetics 216
- Hematology 196
Countries citing papers authored by H Nomura
This map shows the geographic impact of H Nomura'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 H Nomura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H Nomura more than expected).
Fields of papers citing papers by H Nomura
This network shows the impact of papers produced by H Nomura. 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 H Nomura. The network helps show where H Nomura may publish in the future.
Co-authorship network of co-authors of H Nomura
This figure shows the co-authorship network connecting the top 25 collaborators of H Nomura. A scholar is included among the top collaborators of H Nomura 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 H Nomura. H Nomura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 67 | |
| 4 | 89 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | Effects of nucleotides and nucleosides on cell growth in vitro and in vivo | 1 |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | Reduced response to granulocyte colony-stimulating factor in W/Wv and Sl/Sld mice. | 29 |
| 12 | 3 | |
| 13 | 8 | |
| 14 | 114 | |
| 15 | 131 | |
| 16 | Production of interleukin 1 alpha-like factor and colony-stimulating factor by a squamous cell carcinoma of the thyroid (T3M-5) derived from a patient with hypercalcemia and leukocytosis. | 55 |
| 17 | [A case of cirsoid aneurysm of the uterus]. | 1 |
| 18 | Biologia e criacao de peixes | 1 |
| 19 | Biologia do acara-cascudo, Cichlasoma bimaculatum (l., 1758) do riacho Bem Posta (Campo Maior, Piaui) (Osteichthyes, Cichlidae) | 3 |
| 20 | [Age and growth of cangati fish, Trachycorystes galeatus (Linnaeus, 1766) (Osteichthyes, Nematognathi, Auchenipteridae) from the Banabuiu dam (Quixada, Ceara, Brazil)]. [Portuguese] | 2 |
About H Nomura
H Nomura is a scholar working on Pharmaceutical Science, Immunology and Aquatic Science, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (11 papers), Blood disorders and treatments (4 papers) and Fish biology, ecology, and behavior (4 papers). The work is most often cited by research in Immunology (458 citations), Hematology (196 citations) and Oncology (360 citations). H Nomura has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include S Asano, Masayoshi Ono, N. Kubota, Masayoshi Oh‐eda, Mayuko Tamura, Shigekazu Nagata, Ikuo Imazeki, Kunihiro Hattori, Yoshito Ueyama and Takumichi Sugihara. Their work appears in journals such as The EMBO Journal, Current Biology and Biochemical and Biophysical Research Communications.
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.