Dongjun Lin
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
- Hematology 29
- Acute Myeloid Leukemia Research 18
- Hematopoietic Stem Cell Transplantation 13
- Chronic Myeloid Leukemia Treatments 4
- Genetics 10
- Mesenchymal stem cell research 6
- Co-authors
- Xinyu Zhang (4 shared papers)Minyi Zhao (5 shared papers)Jun Wu (1 shared paper)Qifa Liu (15 shared papers)Jun Wu (4 shared papers)Xinyu Zhang (2 shared papers)Meng Zhao (2 shared papers)Na Xu (9 shared papers)
- Journals
- Journal of Hematology & Oncology (4 papers)Frontiers in Oncology (3 papers)Biomaterials Science (3 papers)Chinese Chemical Letters (3 papers)American Journal of Hematology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dongjun Lin
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Hematology 326
- Genetics 129
- Geriatrics and Gerontology 36
- Biomaterials 110
- Oncology 134
Countries citing papers authored by Dongjun Lin
This map shows the geographic impact of Dongjun Lin'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 Dongjun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongjun Lin more than expected).
Fields of papers citing papers by Dongjun Lin
This network shows the impact of papers produced by Dongjun Lin. 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 Dongjun Lin. The network helps show where Dongjun Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongjun Lin, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 106 | |
| 2 | 2019 | 96 | |
| 3 | 2021 | 88 | |
| 4 | 2022 | 66 | |
| 5 | 2023 | 57 | |
| 6 | 2020 | 46 | |
| 7 | 2018 | 45 | |
| 8 | 2022 | 37 | |
| 9 | 2022 | 32 | |
| 10 | 2023 | 30 | |
| 11 | 2016 | 27 | |
| 12 | 2010 | 27 | |
| 13 | 2021 | 26 | |
| 14 | 2019 | 24 | |
| 15 | 2018 | 22 | |
| 16 | 2020 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2017 | 20 | |
| 19 | 2021 | 20 | |
| 20 | 2023 | 20 |
About Dongjun Lin
Dongjun Lin is a scholar working on Hematology, Genetics, Biomaterials, Molecular Biology and Geriatrics and Gerontology, having authored 56 papers that have together received 1.0k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Hematopoietic Stem Cell Transplantation (13 papers), Nanoparticle-Based Drug Delivery (7 papers), Mesenchymal stem cell research (6 papers), Histone Deacetylase Inhibitors Research (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Hematology (326 citations), Genetics (129 citations), Geriatrics and Gerontology (36 citations), Biomaterials (110 citations) and Oncology (134 citations). Dongjun Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xinyu Zhang, Minyi Zhao, Jun Wu, Qifa Liu, Jun Wu, Xinyu Zhang, Meng Zhao, Na Xu, Li Xuan and Nan Cao. Their work appears in journals such as Journal of Hematology & Oncology, Frontiers in Oncology, Biomaterials Science, Chinese Chemical Letters and American Journal 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.