Takashi Moritoyo
- Immunology top 2%
- Agronomy and Crop Science top 1%
- Ecology, Evolution, Behavior and Systematics top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Co-authors
- Mitsuhiro OsameShuji IzumoMasahiro NagaiKoichiro UsukuNorihiro TakenouchiDaisuke KodamaWataru MatsumotoCharles R. M. Bangham
- Topics
- T-cell and Retrovirus Studies (17 papers)Animal Disease Management and Epidemiology (8 papers)Vector-Borne Animal Diseases (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takashi Moritoyo
57 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Immunology 940
- Agronomy and Crop Science 604
- Ecology, Evolution, Behavior and Systematics 538
- Molecular Biology 208
- Cellular and Molecular Neuroscience 111
Countries citing papers authored by Takashi Moritoyo
This map shows the geographic impact of Takashi Moritoyo'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 Takashi Moritoyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Moritoyo more than expected).
Fields of papers citing papers by Takashi Moritoyo
This network shows the impact of papers produced by Takashi Moritoyo. 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 Takashi Moritoyo. The network helps show where Takashi Moritoyo may publish in the future.
Co-authorship network of co-authors of Takashi Moritoyo
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Moritoyo. A scholar is included among the top collaborators of Takashi Moritoyo 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 Takashi Moritoyo. Takashi Moritoyo 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 | 34 | |
| 4 | 11 | |
| 5 | 10 | |
| 6 | 15 | |
| 7 | 32 | |
| 8 | 18 | |
| 9 | 5 | |
| 10 | 44 | |
| 11 | 34 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 36 | |
| 15 | Analysis Of Htlv-I Proviral Load In 202 Ham/Tsp Patients And 243 Asymptomatic Htlv-I Carriers: High Proviral Load Strongly Predisposes To Ham/Tspbreakdown → | 549 |
| 16 | 57 | |
| 17 | 25 | |
| 18 | [A case of rapidly progressive HTLV-I-associated myelopathy (HAM)]. | 8 |
| 19 | 89 | |
| 20 | 18 |
About Takashi Moritoyo
Takashi Moritoyo is a scholar working on Immunology, Virology and Agronomy and Crop Science, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (17 papers), Animal Disease Management and Epidemiology (8 papers) and Vector-Borne Animal Diseases (6 papers). The work is most often cited by research in Agronomy and Crop Science (604 citations), Immunology (940 citations) and Ecology, Evolution, Behavior and Systematics (538 citations). Takashi Moritoyo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mitsuhiro Osame, Shuji Izumo, Masahiro Nagai, Koichiro Usuku, Norihiro Takenouchi, Daisuke Kodama, Wataru Matsumoto, Charles R. M. Bangham, Hiroyoko Moritoyo and Fujio Umehara. Their work appears in journals such as Stroke, Annals of Neurology and Journal of Virology.
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.