Dejun Lin
Impact in
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics
- Genomics and Chromatin Dynamics
- Developmental Biology and Gene Regulation
- Pluripotent Stem Cells Research
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Antimicrobial Peptides and Activities 3
-
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 1
- Co-authors
- Jonathan S. Packer (1 shared paper)Cole Trapnell (1 shared paper)Andrew J. Hill (1 shared paper)Xiaojie Qiu (1 shared paper)Yi-An Ma (1 shared paper)Alan M. Grossfield (3 shared papers)William Stafford Noble (3 shared papers)Galip Gürkan Yardımcı (2 shared papers)
- 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 1.5k citations
Dejun Lin's Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 726
- Microbiology 56
- Immunology 158
- Oncology 167
- Developmental Neuroscience 23
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 11 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 | 1316 |
| 2 | 2018 | 49 | |
| 3 | 2011 | 41 | |
| 4 | 2014 | 34 | |
| 5 | 2015 | 33 | |
| 6 | 2018 | 28 | |
| 7 | 2021 | 24 | |
| 8 | 2015 | 11 |
About Dejun Lin
Dejun Lin is a scholar working on Microbiology, Molecular Biology, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Nuclear Energy and Engineering, having authored 8 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (3 papers), Genomics and Chromatin Dynamics (3 papers), Advanced Physical and Chemical Molecular Interactions (1 paper), Single-cell and spatial transcriptomics (1 paper) and Advanced Chemical Physics Studies (1 paper). The work is most often cited by research in Molecular Biology (726 citations), Microbiology (56 citations), Immunology (158 citations), Oncology (167 citations) and Developmental Neuroscience (23 citations). Dejun Lin has collaborated with scholars based in United States. Frequent co-authors include Jonathan S. Packer, Cole Trapnell, Andrew J. Hill, Xiaojie Qiu, Yi-An Ma, Alan M. Grossfield, William Stafford Noble, Galip Gürkan Yardımcı, Jesse D. Sengillo 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.