Da Lin
Impact in
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- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
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- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
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- Genomics and Chromatin Dynamics 9
- CRISPR and Genetic Engineering 6
- Single-cell and spatial transcriptomics 2
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- Immune Cell Function and Interaction 3
- Atherosclerosis and Cardiovascular Diseases 2
- Co-authors
- Christopher A. O’Callaghan (11 shared papers)Elizabeth J. Soilleux (3 shared papers)Guoliang Li (6 shared papers)Weize Xu (7 shared papers)Gang Cao (6 shared papers)Michael E. Reschen (2 shared papers)Jinxia Dai (3 shared papers)Hayley Lavender (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of genetics and genomics (3 papers)Nucleic Acids Research (3 papers)Genome biology (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Da Lin
33 papers receiving 965 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 492
- Immunology 142
- Genetics 110
- Cancer Research 43
- Plant Science 114
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 136 | |
| 2 | 2020 | 88 | |
| 3 | 2018 | 70 | |
| 4 | 2015 | 63 | |
| 5 | 2020 | 55 | |
| 6 | 2011 | 51 | |
| 7 | 2023 | 41 | |
| 8 | 2024 | 41 | |
| 9 | 2016 | 40 | |
| 10 | 2017 | 39 | |
| 11 | 2021 | 36 | |
| 12 | 2016 | 35 | |
| 13 | 2022 | 34 | |
| 14 | 1999 | 33 | |
| 15 | 2012 | 31 | |
| 16 | 2018 | 27 | |
| 17 | 2021 | 21 | |
| 18 | 2021 | 19 | |
| 19 | 2018 | 16 | |
| 20 | 2020 | 15 |
About Da Lin
Da Lin is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Building and Construction, having authored 37 papers that have together received 972 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), CRISPR and Genetic Engineering (6 papers), Cervical Cancer and HPV Research (3 papers), Immune Cell Function and Interaction (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Blasting Impact and Analysis (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Molecular Biology (492 citations), Immunology (142 citations), Genetics (110 citations), Cancer Research (43 citations) and Plant Science (114 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, Gang Cao, Michael E. Reschen, Jinxia Dai, Hayley Lavender, Billy Breton and Siv Annegrethe Hjorth. Their work appears in journals such as Nature Communications, Journal of genetics and genomics, Nucleic Acids Research, Genome biology and Frontiers in Immunology.
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.