Donglin Yang
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Microbiology top 10%
Papers in
- Hematology 63
- Hematopoietic Stem Cell Transplantation 46
- Acute Myeloid Leukemia Research 32
- Chronic Myeloid Leukemia Treatments 10
- Oncology 18
- Polyomavirus and related diseases 8
- Co-authors
- Erlie Jiang (66 shared papers)Jialin Wei (44 shared papers)Jie Cao (2 shared papers)Jing Feng (2 shared papers)Jie Huang (1 shared paper)Yi He (51 shared papers)Mingfeng Zhao (1 shared paper)Sizhou Feng (48 shared papers)
- Journals
- Blood (10 papers)Frontiers in Immunology (6 papers)Annals of Hematology (4 papers)Frontiers in Oncology (4 papers)Cancer Cell International (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Donglin Yang
69 papers receiving 518 citations
Peers
Comparison fields: 5 of 83
- Hematology 202
- Microbiology 8
- Transplantation 22
- Genetics 56
- Oncology 124
Countries citing papers authored by Donglin Yang
This map shows the geographic impact of Donglin Yang'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 Donglin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donglin Yang more than expected).
Fields of papers citing papers by Donglin Yang
This network shows the impact of papers produced by Donglin Yang. 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 Donglin Yang. The network helps show where Donglin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Donglin Yang, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 122 | |
| 2 | 2020 | 39 | |
| 3 | 2020 | 32 | |
| 4 | 2010 | 24 | |
| 5 | 2022 | 22 | |
| 6 | 2017 | 21 | |
| 7 | 2017 | 20 | |
| 8 | 2014 | 19 | |
| 9 | 2013 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2014 | 8 | |
| 16 | 2015 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2018 | 6 |
About Donglin Yang
Donglin Yang is a scholar working on Hematology, Oncology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 87 papers that have together received 527 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (46 papers), Acute Myeloid Leukemia Research (32 papers), Acute Lymphoblastic Leukemia research (16 papers), Chronic Myeloid Leukemia Treatments (10 papers), Polyomavirus and related diseases (8 papers), Mesenchymal stem cell research (6 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Hematology (202 citations), Microbiology (8 citations), Transplantation (22 citations), Genetics (56 citations) and Oncology (124 citations). Donglin Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Erlie Jiang, Jialin Wei, Jie Cao, Jing Feng, Jie Huang, Yi He, Mingfeng Zhao, Sizhou Feng, Weihua Zhai and Qiaoling Ma. Their work appears in journals such as Blood, Frontiers in Immunology, Annals of Hematology, Frontiers in Oncology and Cancer Cell International.
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.