Dongjun Lin
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
- Hematology 26
- Acute Myeloid Leukemia Research 16
- Hematopoietic Stem Cell Transplantation 10
- Chronic Myeloid Leukemia Treatments 5
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- RNA Interference and Gene Delivery 4
- Histone Deacetylase Inhibitors Research 4
- Co-authors
- Xinyu Zhang (4 shared papers)Jun Wu (1 shared paper)Minyi Zhao (5 shared papers)Meng Zhao (2 shared papers)Xinyu Zhang (2 shared papers)Jun Wu (4 shared papers)Qifa Liu (16 shared papers)Nan Cao (1 shared paper)
- Journals
- Blood (4 papers)Chinese Chemical Letters (4 papers)Biomaterials Science (3 papers)Frontiers in Oncology (3 papers)Frontiers in Cell and Developmental Biology (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Dongjun Lin
48 papers receiving 749 citations
Peers
Comparison fields: 5 of 101
- Hematology 182
- Geriatrics and Gerontology 35
- Genetics 104
- Biomaterials 94
- Pharmaceutical Science 28
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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2019 | 91 | |
| 3 | 2021 | 78 | |
| 4 | 2022 | 54 | |
| 5 | 2018 | 42 | |
| 6 | 2020 | 34 | |
| 7 | 2023 | 28 | |
| 8 | 2022 | 27 | |
| 9 | 2010 | 26 | |
| 10 | 2016 | 25 | |
| 11 | 2021 | 22 | |
| 12 | 2019 | 22 | |
| 13 | 2022 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2017 | 15 | |
| 18 | 2015 | 15 | |
| 19 | 2020 | 15 | |
| 20 | 2021 | 13 |
About Dongjun Lin
Dongjun Lin is a scholar working on Hematology, Molecular Biology, Genetics, Biomaterials and Biomedical Engineering, having authored 53 papers that have together received 755 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Hematopoietic Stem Cell Transplantation (10 papers), Mesenchymal stem cell research (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), RNA Interference and Gene Delivery (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Hematology (182 citations), Geriatrics and Gerontology (35 citations), Genetics (104 citations), Biomaterials (94 citations) and Pharmaceutical Science (28 citations). Dongjun Lin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xinyu Zhang, Jun Wu, Minyi Zhao, Meng Zhao, Xinyu Zhang, Jun Wu, Qifa Liu, Nan Cao, Wei Qin and Na Xu. Their work appears in journals such as Blood, Chinese Chemical Letters, Biomaterials Science, Frontiers in Oncology and Frontiers in Cell and Developmental Biology.
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.