Y Niho
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Papers in
- Immunology 31
- Immune Cell Function and Interaction 8
- T-cell and Retrovirus Studies 8
- Immunotherapy and Immune Responses 6
- Immune Response and Inflammation 5
- Hematology 27
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 7
- Co-authors
- Takashi Okamura (11 shared papers)Toshihiro Miyamoto (5 shared papers)M Harada (8 shared papers)Kentaro Hayashida (3 shared papers)Shinji Shimoda (3 shared papers)Motoki Nakamura (1 shared paper)Shinichi Mizuno (3 shared papers)K Takenaka (4 shared papers)
- Journals
- Blood (15 papers)British Journal of Haematology (3 papers)Leukemia Research (2 papers)Journal of Clinical Investigation (2 papers)Acta Haematologica (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Y Niho
73 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 94
- Hematology 672
- Immunology 879
- Hepatology 239
- Rheumatology 351
- Genetics 223
Countries citing papers authored by Y Niho
This map shows the geographic impact of Y Niho'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 Y Niho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y Niho more than expected).
Fields of papers citing papers by Y Niho
This network shows the impact of papers produced by Y Niho. 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 Y Niho. The network helps show where Y Niho may publish in the future.
Co-authors
The 25 scholars most cited alongside Y Niho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 251 | |
| 2 | 1995 | 250 | |
| 3 | 1995 | 167 | |
| 4 | 1996 | 154 | |
| 5 | 1995 | 139 | |
| 6 | 1993 | 118 | |
| 7 | 1989 | 92 | |
| 8 | 1990 | 77 | |
| 9 | 1997 | 73 | |
| 10 | 1996 | 58 | |
| 11 | 1996 | 50 | |
| 12 | 1991 | 47 | |
| 13 | 1991 | 45 | |
| 14 | 1991 | 43 | |
| 15 | 1994 | 37 | |
| 16 | 1993 | 35 | |
| 17 | 1996 | 30 | |
| 18 | 1993 | 26 | |
| 19 | 1996 | 25 | |
| 20 | 1995 | 23 |
About Y Niho
Y Niho is a scholar working on Immunology, Hematology, Genetics, Oncology and Molecular Biology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Immune Cell Function and Interaction (8 papers), T-cell and Retrovirus Studies (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immunotherapy and Immune Responses (6 papers), Neutropenia and Cancer Infections (6 papers) and Immune Response and Inflammation (5 papers). The work is most often cited by research in Hematology (672 citations), Immunology (879 citations), Hepatology (239 citations), Rheumatology (351 citations) and Genetics (223 citations). Y Niho has collaborated with scholars based in Japan and United States. Frequent co-authors include Takashi Okamura, Toshihiro Miyamoto, M Harada, Kentaro Hayashida, Shinji Shimoda, Motoki Nakamura, Shinichi Mizuno, K Takenaka, Hisashi Gondo and Koji Nagafuji. Their work appears in journals such as Blood, British Journal of Haematology, Leukemia Research, Journal of Clinical Investigation and Acta Haematologica.
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.