M Shimoyama
- Immunology top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Agronomy and Crop Science top 0.1%
- Oncology top 2%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Kensei TobinaiK MinatoTakashi SügimuraShaw WatanabeMasanao MiwaHaruhiko FukudaKiyoshi TakatsukiNagahiro Saijo
- Topics
- Lymphoma Diagnosis and Treatment (58 papers)T-cell and Retrovirus Studies (57 papers)Vector-Borne Animal Diseases (34 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
M Shimoyama
167 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Immunology 3.5k
- Ecology, Evolution, Behavior and Systematics 2.4k
- Agronomy and Crop Science 1.9k
- Oncology 1.4k
- Pathology and Forensic Medicine 1.0k
Countries citing papers authored by M Shimoyama
This map shows the geographic impact of M Shimoyama'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 M Shimoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Shimoyama more than expected).
Fields of papers citing papers by M Shimoyama
This network shows the impact of papers produced by M Shimoyama. 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 M Shimoyama. The network helps show where M Shimoyama may publish in the future.
Co-authorship network of co-authors of M Shimoyama
This figure shows the co-authorship network connecting the top 25 collaborators of M Shimoyama. A scholar is included among the top collaborators of M Shimoyama 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 M Shimoyama. M Shimoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 11 | |
| 3 | 44 | |
| 4 | [First documentation of transfusion-associated babesiosis in Japan]. | 26 |
| 5 | 32 | |
| 6 | 26 | |
| 7 | 54 | |
| 8 | Diagnostic criteria and classification of clinical subtypes of adult T‐cell leukaemia‐lymphomabreakdown → | 1160 |
| 9 | 341 | |
| 10 | 21 | |
| 11 | 8 | |
| 12 | 172 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 20 | |
| 16 | 61 | |
| 17 | Antibodies to human immuno-deficiency virus and human T-cell leukemia virus type I in Japanese patients with hematologic malignancies. | 2 |
| 18 | Structure of HTLV and its biological function in leukemogenesis of adult T-cell leukemia. | 1 |
| 19 | [5 Cases of immunoblastic lymphadenopathy (IBL)- like T cell lymphoma-a report on the clinical, histopathological and immunological investigations]. | 0 |
| 20 | Leukemic distribution of a human acute lymphocytic leukemia cell line (Ichikawa strain) in nude mice conditioned with whole-body irradiation. | 46 |
About M Shimoyama
M Shimoyama is a scholar working on Pathology and Forensic Medicine, Immunology and Agronomy and Crop Science, having authored 176 papers that have together received 5.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (58 papers), T-cell and Retrovirus Studies (57 papers) and Vector-Borne Animal Diseases (34 papers). The work is most often cited by research in Agronomy and Crop Science (1.9k citations), Immunology (3.5k citations) and Ecology, Evolution, Behavior and Systematics (2.4k citations). M Shimoyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kensei Tobinai, K Minato, Takashi Sügimura, Shaw Watanabe, Masanao Miwa, Haruhiko Fukuda, Kiyoshi Takatsuki, Nagahiro Saijo, H. Hoshino and Kiyoyuki Furuse. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.
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.