Hiroshi Kusumoto
- Hematology top 2%
- Genetics top 10%
- Molecular Biology
- Internal Medicine top 5%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Koji SuzukiJunji NishiokaSenichiro HashimotoShuji YamamotoIkuro MaruyamaYoshihiro DeyashikiShinichiro HoriguchiGoichi Honda
- Topics
- Blood Coagulation and Thrombosis Mechanisms (7 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)Genetic and phenotypic traits in livestock (3 papers)
- Cited by
- HematologyInternal MedicineGenetics
- Journals
- Proceedings of the National Academy of SciencesThe EMBO JournalBiochimica et Biophysica Acta (BBA) - General Subjects
- Partner nations
- JapanUnited States
In The Last Decade
Hiroshi Kusumoto
19 papers receiving 760 citations
Peers
Comparison fields: 5 of 71
- Hematology 419
- Genetics 234
- Molecular Biology 155
- Internal Medicine 138
- Cardiology and Cardiovascular Medicine 124
Countries citing papers authored by Hiroshi Kusumoto
This map shows the geographic impact of Hiroshi Kusumoto'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 Hiroshi Kusumoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroshi Kusumoto more than expected).
Fields of papers citing papers by Hiroshi Kusumoto
This network shows the impact of papers produced by Hiroshi Kusumoto. 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 Hiroshi Kusumoto. The network helps show where Hiroshi Kusumoto may publish in the future.
Co-authorship network of co-authors of Hiroshi Kusumoto
This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Kusumoto. A scholar is included among the top collaborators of Hiroshi Kusumoto 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 Hiroshi Kusumoto. Hiroshi Kusumoto 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 | 0 | |
| 3 | 5 | |
| 4 | 111 | |
| 5 | 6 | |
| 6 | 55 | |
| 7 | [Diffuse panbronchiolitis with myeloperoxidase-specific antineutrophil cytoplasmic antibody-related vasculitis]. | 8 |
| 8 | 4 | |
| 9 | 6 | |
| 10 | [Successful treatment of chronic eosinophilic pneumonia with suplatast tosilate]. | 4 |
| 11 | 10 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 55 | |
| 15 | 46 | |
| 16 | 311 | |
| 17 | 1 | |
| 18 | 35 | |
| 19 | 10 | |
| 20 | 109 |
About Hiroshi Kusumoto
Hiroshi Kusumoto is a scholar working on Hematology, Internal Medicine and Genetics, having authored 20 papers that have together received 787 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (7 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Hematology (419 citations), Internal Medicine (138 citations) and Genetics (100 citations). Hiroshi Kusumoto has collaborated with scholars based in Japan and United States. Frequent co-authors include Koji Suzuki, Junji Nishioka, Senichiro Hashimoto, Shuji Yamamoto, Ikuro Maruyama, Yoshihiro Deyashiki, Shinichiro Horiguchi, Goichi Honda, M Zushi and S Hirosawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.