Junji Nishida
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Immunology top 5%
- T-cell and Retrovirus Studies
- Immune Cell Function and Interaction
Papers in
- Hematology 27
- Hematopoietic Stem Cell Transplantation 15
- Acute Myeloid Leukemia Research 7
- Co-authors
- Hisamaru Hirai (14 shared papers)Fumimaro Takaku (7 shared papers)Yoshiro Maru (3 shared papers)Koichi Hagiwara (2 shared papers)Kinuko Mitani (4 shared papers)Ryuichi Sakai (7 shared papers)Seishi Ogawa (4 shared papers)Tomoyuki Tanaka (5 shared papers)
- Journals
- International Journal of Hematology (6 papers)Biochemical and Biophysical Research Communications (5 papers)Bone Marrow Transplantation (5 papers)Blood (4 papers)Molecular and Cellular Biology (4 papers)
- Partner nations
- JapanUnited StatesIreland
In The Last Decade
Junji Nishida
74 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 92
- Hematology 677
- Immunology 613
- Oncology 480
- Agronomy and Crop Science 186
- Cell Biology 247
Countries citing papers authored by Junji Nishida
This map shows the geographic impact of Junji Nishida'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 Junji Nishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junji Nishida more than expected).
Fields of papers citing papers by Junji Nishida
This network shows the impact of papers produced by Junji Nishida. 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 Junji Nishida. The network helps show where Junji Nishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Junji Nishida, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 361 | |
| 2 | 1995 | 204 | |
| 3 | 1996 | 186 | |
| 4 | 1987 | 181 | |
| 5 | 1995 | 114 | |
| 6 | 1988 | 103 | |
| 7 | 1995 | 92 | |
| 8 | 1994 | 90 | |
| 9 | 1995 | 81 | |
| 10 | 2014 | 58 | |
| 11 | 1984 | 54 | |
| 12 | 2015 | 52 | |
| 13 | 1988 | 52 | |
| 14 | 1994 | 49 | |
| 15 | 1994 | 45 | |
| 16 | 1994 | 45 | |
| 17 | 2013 | 28 | |
| 18 | 1992 | 28 | |
| 19 | 2012 | 27 | |
| 20 | 2013 | 27 |
About Junji Nishida
Junji Nishida is a scholar working on Hematology, Molecular Biology, Immunology, Oncology and Epidemiology, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (15 papers), T-cell and Retrovirus Studies (12 papers), Vector-Borne Animal Diseases (10 papers), Animal Disease Management and Epidemiology (9 papers), Neutropenia and Cancer Infections (8 papers), Acute Myeloid Leukemia Research (7 papers), Herpesvirus Infections and Treatments (5 papers) and Blood disorders and treatments (4 papers). The work is most often cited by research in Hematology (677 citations), Immunology (613 citations), Oncology (480 citations), Agronomy and Crop Science (186 citations) and Cell Biology (247 citations). Junji Nishida has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Hisamaru Hirai, Fumimaro Takaku, Yoshiro Maru, Koichi Hagiwara, Kinuko Mitani, Ryuichi Sakai, Seishi Ogawa, Tomoyuki Tanaka, Y Yazaki and Tomoyuki Tanaka. Their work appears in journals such as International Journal of Hematology, Biochemical and Biophysical Research Communications, Bone Marrow Transplantation, Blood and Molecular and Cellular Biology.
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.