Ying‐Jun Chang
Impact in
- Hematology top 0.1%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 1%
Papers in
- Hematology 221
- Hematopoietic Stem Cell Transplantation 170
- Acute Myeloid Leukemia Research 92
- Chronic Myeloid Leukemia Treatments 22
- Immunology 122
- Immune Cell Function and Interaction 81
- T-cell and B-cell Immunology 69
- Co-authors
- Xiao‐Jun Huang (240 shared papers)Lan‐Ping Xu (168 shared papers)Kai‐Yan Liu (128 shared papers)Yu Wang (128 shared papers)Xiaohui Zhang (127 shared papers)Xiaosu Zhao (74 shared papers)Yu‐Hong Chen (72 shared papers)Huan Chen (58 shared papers)
- Journals
- Blood (22 papers)Annals of Hematology (19 papers)Biology of Blood and Marrow Transplantation (16 papers)Bone Marrow Transplantation (16 papers)British Journal of Haematology (12 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ying‐Jun Chang
261 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 108
- Hematology 3.4k
- Transplantation 289
- Immunology 2.0k
- Genetics 486
- Oncology 1.2k
Countries citing papers authored by Ying‐Jun Chang
This map shows the geographic impact of Ying‐Jun Chang'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 Ying‐Jun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Jun Chang more than expected).
Fields of papers citing papers by Ying‐Jun Chang
This network shows the impact of papers produced by Ying‐Jun Chang. 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 Ying‐Jun Chang. The network helps show where Ying‐Jun Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying‐Jun Chang, 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 278 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 241 | |
| 2 | 2015 | 148 | |
| 3 | 2017 | 113 | |
| 4 | 2013 | 105 | |
| 5 | 2012 | 96 | |
| 6 | 2016 | 85 | |
| 7 | 2017 | 83 | |
| 8 | 2013 | 72 | |
| 9 | 2016 | 72 | |
| 10 | 2011 | 70 | |
| 11 | 2015 | 69 | |
| 12 | 2020 | 66 | |
| 13 | 2014 | 66 | |
| 14 | 2015 | 63 | |
| 15 | 2012 | 62 | |
| 16 | 2009 | 61 | |
| 17 | 2021 | 60 | |
| 18 | 2018 | 55 | |
| 19 | 2010 | 53 | |
| 20 | 2018 | 53 |
About Ying‐Jun Chang
Ying‐Jun Chang is a scholar working on Hematology, Immunology, Oncology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 278 papers that have together received 4.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (170 papers), Acute Myeloid Leukemia Research (92 papers), Immune Cell Function and Interaction (81 papers), T-cell and B-cell Immunology (69 papers), Acute Lymphoblastic Leukemia research (53 papers), Cytomegalovirus and herpesvirus research (26 papers), CAR-T cell therapy research (23 papers) and Chronic Myeloid Leukemia Treatments (22 papers). The work is most often cited by research in Hematology (3.4k citations), Transplantation (289 citations), Immunology (2.0k citations), Genetics (486 citations) and Oncology (1.2k citations). Ying‐Jun Chang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiao‐Jun Huang, Lan‐Ping Xu, Kai‐Yan Liu, Yu Wang, Xiaohui Zhang, Xiaosu Zhao, Yu‐Hong Chen, Huan Chen, Xiao‐Dong Mo and Feng‐Rong Wang. Their work appears in journals such as Blood, Annals of Hematology, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation and British Journal of Haematology.
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.