Tatsuya Chuhjo
- Immunology top 5%
- Hematology top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Agronomy and Crop Science top 5%
- Nephrology top 5%
- Co-authors
- Shinji NakaoMitsuhiro OmineMasahiro FujiiMotoharu SeikiHaruo TsuchiyaHirohito YamazakiChiharu SugimoriXingmin Feng
- Topics
- Hematopoietic Stem Cell Transplantation (14 papers)Acute Myeloid Leukemia Research (7 papers)Complement system in diseases (7 papers)
- Cited by
- HematologyImmunologyNephrology
- Partner nations
- JapanUnited States
In The Last Decade
Tatsuya Chuhjo
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 58
- Immunology 752
- Hematology 546
- Ecology, Evolution, Behavior and Systematics 205
- Agronomy and Crop Science 199
- Nephrology 170
Countries citing papers authored by Tatsuya Chuhjo
This map shows the geographic impact of Tatsuya Chuhjo'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 Tatsuya Chuhjo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Chuhjo more than expected).
Fields of papers citing papers by Tatsuya Chuhjo
This network shows the impact of papers produced by Tatsuya Chuhjo. 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 Tatsuya Chuhjo. The network helps show where Tatsuya Chuhjo may publish in the future.
Co-authorship network of co-authors of Tatsuya Chuhjo
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Chuhjo. A scholar is included among the top collaborators of Tatsuya Chuhjo 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 Tatsuya Chuhjo. Tatsuya Chuhjo 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 | 13 | |
| 3 | 29 | |
| 4 | 50 | |
| 5 | 9 | |
| 6 | 38 | |
| 7 | 200 | |
| 8 | 59 | |
| 9 | 16 | |
| 10 | 41 | |
| 11 | 143 | |
| 12 | 11 | |
| 13 | 43 | |
| 14 | Relative increase of granulocytes with a paroxysmal nocturnal hemoglobinuria phenotype is a common feature of aplastic anemia at diagnosis | 1 |
| 15 | 11 | |
| 16 | 2 | |
| 17 | Quality of hematologic recovery in patients with aplastic anemia following cyclosporine therapy. | 7 |
| 18 | 107 | |
| 19 | Analysis of late graft failure after allogeneic bone marrow transplantation: detection of residual host cells using amplification of variable number of tandem repeats loci. | 21 |
| 20 | 217 |
About Tatsuya Chuhjo
Tatsuya Chuhjo is a scholar working on Hematology, Immunology and Agronomy and Crop Science, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Acute Myeloid Leukemia Research (7 papers) and Complement system in diseases (7 papers). The work is most often cited by research in Hematology (546 citations), Immunology (752 citations) and Nephrology (170 citations). Tatsuya Chuhjo has collaborated with scholars based in Japan and United States. Frequent co-authors include Shinji Nakao, Mitsuhiro Omine, Masahiro Fujii, Motoharu Seiki, Haruo Tsuchiya, Hirohito Yamazaki, Chiharu Sugimori, Xingmin Feng, Hongbo Wang and Akiyoshi Takami. Their work appears in journals such as Genes & Development, Blood 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.