Yoshio Honma
- Organic Chemistry top 10%
- Molecular Biology
- Hematology top 5%
- Genetics top 10%
- Inorganic Chemistry top 10%
- Co-authors
- Shuichi ÔiYoshio InoueMotoo HozumiTakashi KasukabeYusuke FurukawaYuko SatoMiyuki AkutsuHiroyuki Mano
- Topics
- Dyeing and Modifying Textile Fibers (4 papers)Acute Myeloid Leukemia Research (3 papers)Chronic Myeloid Leukemia Treatments (3 papers)
- Cited by
- HematologyGeneticsOrganic Chemistry
- Journals
- BloodTetrahedronOrganic Letters
- Partner nations
- JapanUnited States
In The Last Decade
Yoshio Honma
25 papers receiving 847 citations
Peers
Comparison fields: 5 of 72
- Organic Chemistry 303
- Molecular Biology 302
- Hematology 256
- Genetics 153
- Inorganic Chemistry 117
Countries citing papers authored by Yoshio Honma
This map shows the geographic impact of Yoshio Honma'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 Yoshio Honma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshio Honma more than expected).
Fields of papers citing papers by Yoshio Honma
This network shows the impact of papers produced by Yoshio Honma. 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 Yoshio Honma. The network helps show where Yoshio Honma may publish in the future.
Co-authorship network of co-authors of Yoshio Honma
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshio Honma. A scholar is included among the top collaborators of Yoshio Honma 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 Yoshio Honma. Yoshio Honma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 10 | |
| 3 | Androgen-dependent hereditary mouse keratoconus: linkage to an MHC region. | 37 |
| 4 | 80 | |
| 5 | 73 | |
| 6 | 4 | |
| 7 | 33 | |
| 8 | 219 | |
| 9 | 42 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 54 | |
| 14 | 11 | |
| 15 | 5 | |
| 16 | 0 | |
| 17 | Increased synthesis of hyaluronic acid by mouse mammary carcinoma cell variants with high metastatic potential. | 104 |
| 18 | Enhancement of growth of a mouse macrophage cell line by a tumor promoter and granulocyte-macrophage colony-stimulating factor. | 5 |
| 19 | 1 | |
| 20 | Age-Dependent Changes on Insoluble Collagen of the Skin of Rats | 3 |
About Yoshio Honma
Yoshio Honma is a scholar working on Hematology, Building and Construction and Toxicology, having authored 26 papers that have together received 881 indexed citations. Recurring topics across this work include Dyeing and Modifying Textile Fibers (4 papers), Acute Myeloid Leukemia Research (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Hematology (256 citations), Genetics (153 citations) and Organic Chemistry (303 citations). Yoshio Honma has collaborated with scholars based in Japan and United States. Frequent co-authors include Shuichi Ôi, Yoshio Inoue, Motoo Hozumi, Takashi Kasukabe, Yusuke Furukawa, Yuko Sato, Miyuki Akutsu, Hiroyuki Mano, Yasuhiko Kano and Saburo Tsunoda. Their work appears in journals such as Blood, Tetrahedron and Organic Letters.
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.