Dawn Lin
Impact in
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- Cancer Genomics and Diagnostics
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Immunotherapy and Immune Responses 4
- Immune cells in cancer 3
- T-cell and B-cell Immunology 2
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- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 2
- Co-authors
- Shalin H. Naik (4 shared papers)Ali Tavakkoli (1 shared paper)Jeffrey M. Karp (1 shared paper)Tom Weber (2 shared papers)Jaring Schreuder (2 shared papers)Jane E. Visvader (1 shared paper)Ton N. Schumacher (1 shared paper)Bhupinder Pal (1 shared paper)
- Journals
- Experimental Hematology (4 papers)Cell Reports (2 papers)Advanced Healthcare Materials (2 papers)Advanced Functional Materials (1 paper)Nature Cell Biology (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Dawn Lin
13 papers receiving 268 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 68
- Immunology 61
- Biophysics 16
- Oncology 67
- Hematology 23
Countries citing papers authored by Dawn Lin
This map shows the geographic impact of Dawn 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 Dawn Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Lin more than expected).
Fields of papers citing papers by Dawn Lin
This network shows the impact of papers produced by Dawn 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 Dawn Lin. The network helps show where Dawn Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawn 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 107 | |
| 2 | 2018 | 56 | |
| 3 | 2018 | 26 | |
| 4 | 2020 | 26 | |
| 5 | 2021 | 22 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2020 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2026 | 0 | |
| 16 | 2019 | 0 |
About Dawn Lin
Dawn Lin is a scholar working on Immunology, Hematology, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 269 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer Cells and Metastasis (3 papers), Immune cells in cancer (3 papers), Acute Myeloid Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), 3D Printing in Biomedical Research (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (68 citations), Immunology (61 citations), Biophysics (16 citations), Oncology (67 citations) and Hematology (23 citations). Dawn Lin has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Shalin H. Naik, Ali Tavakkoli, Jeffrey M. Karp, Tom Weber, Jaring Schreuder, Jane E. Visvader, Ton N. Schumacher, Bhupinder Pal, Marie-Liesse Asselin-Labat and Delphine Mérino. Their work appears in journals such as Experimental Hematology, Cell Reports, Advanced Healthcare Materials, Advanced Functional Materials and Nature Cell 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.