Dejun Lin
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in ⓘ
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- Antimicrobial Peptides and Activities 3
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- Lipid Membrane Structure and Behavior 3
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 2
- RNA Research and Splicing 2
- Co-authors
- Jonathan S. Packer (1 shared paper)Yi-An Ma (1 shared paper)Andrew J. Hill (1 shared paper)Xiaojie Qiu (1 shared paper)Cole Trapnell (1 shared paper)Alan Grossfield (3 shared papers)William Stafford Noble (3 shared papers)Jie Liu (1 shared paper)
- Journals
- Biophysical Journal (2 papers)Bioinformatics (2 papers)Nature Methods (1 paper)WIREs Systems Biology and Medicine (1 paper)Biochimica et Biophysica Acta (BBA) - Biomembranes (1 paper)
- Partner nations
- United States
In The Last Decade
Dejun Lin
8 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 349
- Cancer Research 217
- Molecular Biology 863
- Microbiology 53
- Neurology 69
Countries citing papers authored by Dejun Lin
This map shows the geographic impact of Dejun 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 Dejun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejun Lin more than expected).
Fields of papers citing papers by Dejun Lin
This network shows the impact of papers produced by Dejun 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 Dejun Lin. The network helps show where Dejun Lin may publish in the future.
Co-authors
The 14 scholars most cited alongside Dejun 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 | Single-cell mRNA quantification and differential analysis with Census Hit paper breakdown → | 2017 | 1069 |
| 2 | 2018 | 43 | |
| 3 | 2011 | 41 | |
| 4 | 2014 | 32 | |
| 5 | 2015 | 31 | |
| 6 | 2018 | 28 | |
| 7 | 2021 | 18 | |
| 8 | 2015 | 10 |
About Dejun Lin
Dejun Lin is a scholar working on Microbiology, Molecular Biology, Cancer Research, Astronomy and Astrophysics and Plant Science, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Antimicrobial Peptides and Activities (3 papers), Single-cell and spatial transcriptomics (2 papers), RNA Research and Splicing (2 papers), Chromosomal and Genetic Variations (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (349 citations), Cancer Research (217 citations), Molecular Biology (863 citations), Microbiology (53 citations) and Neurology (69 citations). Dejun Lin has collaborated with scholars based in United States. Frequent co-authors include Jonathan S. Packer, Yi-An Ma, Andrew J. Hill, Xiaojie Qiu, Cole Trapnell, Alan Grossfield, William Stafford Noble, Jie Liu, Galip Gürkan Yardımcı and Tod D. Romo. Their work appears in journals such as Biophysical Journal, Bioinformatics, Nature Methods, WIREs Systems Biology and Medicine and Biochimica et Biophysica Acta (BBA) - Biomembranes.
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.