Jun Ooi
Impact in
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
- Hematology 63
- Hematopoietic Stem Cell Transplantation 57
- Acute Myeloid Leukemia Research 19
- Oncology 27
- Polyomavirus and related diseases 16
- Neutropenia and Cancer Infections 7
- Co-authors
- Arinobu Tojo (74 shared papers)Akira Tomonari (53 shared papers)Satoshi Takahashi (60 shared papers)Shigetaka Asano (40 shared papers)Tohru Iseki (36 shared papers)Kaoru Uchimaru (28 shared papers)Kashiya Takasugi (16 shared papers)Kenzaburo Tani (22 shared papers)
- Journals
- International Journal of Hematology (19 papers)Bone Marrow Transplantation (11 papers)Blood (10 papers)British Journal of Haematology (6 papers)Annals of Hematology (6 papers)
- Partner nations
- JapanUnited StatesMalaysia
In The Last Decade
Jun Ooi
91 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 84
- Hematology 1.1k
- Genetics 375
- Transplantation 52
- Oncology 405
- Immunology 274
Countries citing papers authored by Jun Ooi
This map shows the geographic impact of Jun Ooi'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 Jun Ooi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ooi more than expected).
Fields of papers citing papers by Jun Ooi
This network shows the impact of papers produced by Jun Ooi. 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 Jun Ooi. The network helps show where Jun Ooi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ooi, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 255 | |
| 2 | 2006 | 221 | |
| 3 | The cloning of Grb10 reveals a new family of SH2 domain proteins. | 1995 | 121 |
| 4 | 2003 | 85 | |
| 5 | 1997 | 84 | |
| 6 | 2002 | 69 | |
| 7 | 2003 | 66 | |
| 8 | 2003 | 61 | |
| 9 | 2011 | 47 | |
| 10 | 2004 | 45 | |
| 11 | 2008 | 44 | |
| 12 | 2002 | 43 | |
| 13 | 2003 | 36 | |
| 14 | 2013 | 35 | |
| 15 | 2007 | 30 | |
| 16 | 2003 | 28 | |
| 17 | 2009 | 25 | |
| 18 | 2006 | 24 | |
| 19 | 2001 | 22 | |
| 20 | 2008 | 20 |
About Jun Ooi
Jun Ooi is a scholar working on Hematology, Oncology, Genetics, Epidemiology and Immunology, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (57 papers), Acute Myeloid Leukemia Research (19 papers), Polyomavirus and related diseases (16 papers), Cytomegalovirus and herpesvirus research (15 papers), Immune Cell Function and Interaction (12 papers), Mesenchymal stem cell research (10 papers), Acute Lymphoblastic Leukemia research (7 papers) and Neutropenia and Cancer Infections (7 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (375 citations), Transplantation (52 citations), Oncology (405 citations) and Immunology (274 citations). Jun Ooi has collaborated with scholars based in Japan, United States and Malaysia. Frequent co-authors include Arinobu Tojo, Akira Tomonari, Satoshi Takahashi, Shigetaka Asano, Tohru Iseki, Kaoru Uchimaru, Kashiya Takasugi, Kenzaburo Tani, Takaaki Konuma and Fumitaka Nagamura. Their work appears in journals such as International Journal of Hematology, Bone Marrow Transplantation, Blood, British Journal of Haematology and Annals of Hematology.
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.