Masayuki Hakoda
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Rheumatology top 2%
- Immunology top 5%
- Oncology top 10%
- Co-authors
- Seishi KyoizumiNaoyuki KamataniMichio YamakidoMitoshi AkiyamaSadao KashiwazakiKyoko KobukeHisashi YamanakaFumiyoshi Kasagi
- Topics
- Biochemical and Molecular Research (22 papers)Cytomegalovirus and herpesvirus research (14 papers)Rheumatoid Arthritis Research and Therapies (13 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Masayuki Hakoda
87 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 993
- Radiology, Nuclear Medicine and Imaging 524
- Rheumatology 519
- Immunology 436
- Oncology 420
Countries citing papers authored by Masayuki Hakoda
This map shows the geographic impact of Masayuki Hakoda'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 Masayuki Hakoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Hakoda more than expected).
Fields of papers citing papers by Masayuki Hakoda
This network shows the impact of papers produced by Masayuki Hakoda. 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 Masayuki Hakoda. The network helps show where Masayuki Hakoda may publish in the future.
Co-authorship network of co-authors of Masayuki Hakoda
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Hakoda. A scholar is included among the top collaborators of Masayuki Hakoda 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 Masayuki Hakoda. Masayuki Hakoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 48 | |
| 3 | 3 | |
| 4 | 44 | |
| 5 | 25 | |
| 6 | Association of HLA class I and class II alleles with myositis in Japanese patients. | 30 |
| 7 | 13 | |
| 8 | 92 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 23 | |
| 14 | 12 | |
| 15 | [Genotype and genetic diagnosis of APRT deficiency]. | 2 |
| 16 | 11 | |
| 17 | 17 | |
| 18 | 36 | |
| 19 | 6 | |
| 20 | 28 |
About Masayuki Hakoda
Masayuki Hakoda is a scholar working on Nephrology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (22 papers), Cytomegalovirus and herpesvirus research (14 papers) and Rheumatoid Arthritis Research and Therapies (13 papers). The work is most often cited by research in Nephrology (309 citations), Rheumatology (519 citations) and Radiology, Nuclear Medicine and Imaging (524 citations). Masayuki Hakoda has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Seishi Kyoizumi, Naoyuki Kamatani, Michio Yamakido, Mitoshi Akiyama, Sadao Kashiwazaki, Kyoko Kobuke, Hisashi Yamanaka, Seishi Kyoizumi, Fumiyoshi Kasagi and Yoichiro Kusunoki. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.
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.