Ikuro Maruyama
- Immunology top 10%
- Hematology top 10%
- Agronomy and Crop Science top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Mitsuhiro OsameIsao KitajimaYoshikazu MaruyamaKenji MatsumuroOsamu WatanabeMunekazu YamakuchiManabu JonosonoTeruto Hashiguchi
- Topics
- T-cell and Retrovirus Studies (6 papers)RNA Interference and Gene Delivery (3 papers)Blood Coagulation and Thrombosis Mechanisms (3 papers)
In The Last Decade
Ikuro Maruyama
20 papers receiving 510 citations
Peers
Comparison fields: 5 of 68
- Immunology 217
- Hematology 105
- Agronomy and Crop Science 104
- Molecular Biology 99
- Ecology, Evolution, Behavior and Systematics 99
Countries citing papers authored by Ikuro Maruyama
This map shows the geographic impact of Ikuro Maruyama'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 Ikuro Maruyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuro Maruyama more than expected).
Fields of papers citing papers by Ikuro Maruyama
This network shows the impact of papers produced by Ikuro Maruyama. 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 Ikuro Maruyama. The network helps show where Ikuro Maruyama may publish in the future.
Co-authorship network of co-authors of Ikuro Maruyama
This figure shows the co-authorship network connecting the top 25 collaborators of Ikuro Maruyama. A scholar is included among the top collaborators of Ikuro Maruyama 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 Ikuro Maruyama. Ikuro Maruyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 4 | |
| 6 | 37 | |
| 7 | 108 | |
| 8 | 40 | |
| 9 | 6 | |
| 10 | 41 | |
| 11 | 9 | |
| 12 | 40 | |
| 13 | T lymphocyte infiltration in the minor salivary glands of patients with HTLV-I associated myelopathy | 2 |
| 14 | 78 | |
| 15 | [Platelet activation during thrombolysis and percutaneous transluminal coronary angioplasty in the acute phase of myocardial infarction]. | 2 |
| 16 | [Pure red cell aplasia with monoclonal gammopathy and von Willebrand disease]. | 0 |
| 17 | [Two cases of HTLV-I associated myelopathy (HAM) complicated with Sjögren's syndrome, T-lymphocyte alveolitis and arthropathy]. | 1 |
| 18 | 42 | |
| 19 | Ocular manifestations in patients infected with human T-lymphotropic virus type I. | 77 |
| 20 | 1 |
About Ikuro Maruyama
Ikuro Maruyama is a scholar working on Internal Medicine, Hematology and Immunology, having authored 21 papers that have together received 521 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (6 papers), RNA Interference and Gene Delivery (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Immunology (217 citations), Agronomy and Crop Science (104 citations) and Hematology (105 citations). Ikuro Maruyama has collaborated with scholars based in Japan and Czechia. Frequent co-authors include Mitsuhiro Osame, Isao Kitajima, Yoshikazu Maruyama, Kenji Matsumuro, Osamu Watanabe, Munekazu Yamakuchi, Manabu Jonosono, Teruto Hashiguchi, Kimiyoshi Arimura and Toshikazu Kubo. Their work appears in journals such as Biomaterials, Biochemical and Biophysical Research Communications and Annals of the Rheumatic Diseases.
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.