Da Lin
Impact in
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- Immune Cell Function and Interaction
- Immune cells in cancer
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- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
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- Genomics and Phylogenetic Studies 5
- Genomics and Chromatin Dynamics 4
- Single-cell and spatial transcriptomics 3
- Advanced biosensing and bioanalysis techniques 3
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- Immune Cell Function and Interaction 6
- Immune cells in cancer 4
- Co-authors
- Christopher A. O’Callaghan (12 shared papers)Elizabeth J. Soilleux (3 shared papers)Guoliang Li (5 shared papers)Weize Xu (6 shared papers)Michael E. Reschen (2 shared papers)Gang Cao (6 shared papers)Hayley Lavender (1 shared paper)Jinxia Dai (3 shared papers)
- Journals
- Nature Communications (2 papers)Frontiers in Immunology (2 papers)Nucleic Acids Research (2 papers)European Journal of Medicinal Chemistry (1 paper)Nature Genetics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Da Lin
28 papers receiving 670 citations
Peers
Comparison fields: 5 of 105
- Immunology 150
- Molecular Biology 430
- Cancer Research 77
- Biological Psychiatry 11
- Plant Science 126
Countries citing papers authored by Da Lin
This map shows the geographic impact of Da 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 Da Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Lin more than expected).
Fields of papers citing papers by Da Lin
This network shows the impact of papers produced by Da 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 Da Lin. The network helps show where Da Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Da 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2020 | 75 | |
| 3 | 2015 | 58 | |
| 4 | 2018 | 54 | |
| 5 | 2011 | 51 | |
| 6 | 2016 | 35 | |
| 7 | 2023 | 32 | |
| 8 | 2016 | 31 | |
| 9 | 1999 | 31 | |
| 10 | 2021 | 28 | |
| 11 | 2012 | 27 | |
| 12 | 2018 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2019 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2020 | 11 | |
| 19 | 2017 | 9 | |
| 20 | 2023 | 8 |
About Da Lin
Da Lin is a scholar working on Molecular Biology, Immunology, Plant Science, Cancer Research and Civil and Structural Engineering, having authored 31 papers that have together received 676 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Genomics and Phylogenetic Studies (5 papers), Genomics and Chromatin Dynamics (4 papers), Immune cells in cancer (4 papers), Single-cell and spatial transcriptomics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Structural Response to Dynamic Loads (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Immunology (150 citations), Molecular Biology (430 citations), Cancer Research (77 citations), Biological Psychiatry (11 citations) and Plant Science (126 citations). Da Lin has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Christopher A. O’Callaghan, Elizabeth J. Soilleux, Guoliang Li, Weize Xu, Michael E. Reschen, Gang Cao, Hayley Lavender, Jinxia Dai, Siv A. Hjorth and Michel Bouvier. Their work appears in journals such as Nature Communications, Frontiers in Immunology, Nucleic Acids Research, European Journal of Medicinal Chemistry and Nature Genetics.
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.