Hideyoshi Noji
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Hematopoietic Stem Cell Transplantation
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Immunology 36
- Complement system in diseases 22
- Hematology 26
- Chronic Myeloid Leukemia Treatments 6
- Hematopoietic Stem Cell Transplantation 5
- Blood groups and transfusion 5
- Co-authors
- Kazuhiko Ikeda (23 shared papers)Tsutomu Shichishima (30 shared papers)Yukio Maruyama (16 shared papers)Kazuei Ogawa (23 shared papers)Yasuchika Takeishi (14 shared papers)Akiko Nakamura (2 shared papers)Hideo Kimura (7 shared papers)Hideo Harigae (11 shared papers)
- Journals
- International Journal of Hematology (14 papers)Blood (6 papers)British Journal of Haematology (4 papers)Experimental Hematology (3 papers)PLoS ONE (2 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Hideyoshi Noji
54 papers receiving 521 citations
Peers
Comparison fields: 5 of 66
- Hematology 163
- Genetics 110
- Immunology 175
- Nephrology 57
- Transplantation 15
Countries citing papers authored by Hideyoshi Noji
This map shows the geographic impact of Hideyoshi Noji'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 Hideyoshi Noji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyoshi Noji more than expected).
Fields of papers citing papers by Hideyoshi Noji
This network shows the impact of papers produced by Hideyoshi Noji. 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 Hideyoshi Noji. The network helps show where Hideyoshi Noji may publish in the future.
Co-authors
The 25 scholars most cited alongside Hideyoshi Noji, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 73 | |
| 2 | 2020 | 35 | |
| 3 | 2017 | 31 | |
| 4 | 2006 | 21 | |
| 5 | 2014 | 20 | |
| 6 | 2011 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2011 | 17 | |
| 10 | 1999 | 17 | |
| 11 | 2015 | 15 | |
| 12 | 2007 | 14 | |
| 13 | 2018 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2016 | 12 | |
| 16 | 2001 | 9 | |
| 17 | 2012 | 9 | |
| 18 | 2018 | 9 | |
| 19 | 2002 | 9 | |
| 20 | 2016 | 9 |
About Hideyoshi Noji
Hideyoshi Noji is a scholar working on Immunology, Hematology, Genetics, Molecular Biology and Nephrology, having authored 58 papers that have together received 530 indexed citations. Recurring topics across this work include Complement system in diseases (22 papers), Renal Diseases and Glomerulopathies (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Adenosine and Purinergic Signaling (5 papers) and Blood groups and transfusion (5 papers). The work is most often cited by research in Hematology (163 citations), Genetics (110 citations), Immunology (175 citations), Nephrology (57 citations) and Transplantation (15 citations). Hideyoshi Noji has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuhiko Ikeda, Tsutomu Shichishima, Yukio Maruyama, Kazuei Ogawa, Yasuchika Takeishi, Akiko Nakamura, Hideo Kimura, Hideo Harigae, Naoto Takahashi and Yoji Ishida. Their work appears in journals such as International Journal of Hematology, Blood, British Journal of Haematology, Experimental Hematology and PLoS ONE.
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.