Andrew Earl
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 4
- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 4
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- Epigenetics and DNA Methylation 2
- Molecular Biology Techniques and Applications 2
- Surgery 1
- Co-authors
- Jason D. Buenrostro (8 shared papers)Zachary Chiang (4 shared papers)Caleb A. Lareau (3 shared papers)Lindsay M. LaFave (2 shared papers)Yan Hu (3 shared papers)Vinay K. Kartha (3 shared papers)Sai Ma (3 shared papers)Tristan Tay (2 shared papers)
- Journals
- Science (2 papers)Nature Communications (1 paper)Nature Methods (1 paper)Nature (1 paper)Cell stem cell (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Andrew Earl
10 papers receiving 1.1k citations
Andrew Earl's Hit Papers
Peers
Comparison fields: 5 of 82
- Biophysics 140
- Cancer Research 211
- Molecular Biology 945
- Immunology 114
- Neurology 28
Countries citing papers authored by Andrew Earl
This map shows the geographic impact of Andrew Earl'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 Andrew Earl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Earl more than expected).
Fields of papers citing papers by Andrew Earl
This network shows the impact of papers produced by Andrew Earl. 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 Andrew Earl. The network helps show where Andrew Earl may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Earl, 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 | Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin Hit paper breakdown → | 2020 | 621 |
| 2 | 2021 | 167 | |
| 3 | 2021 | 143 | |
| 4 | 2022 | 107 | |
| 5 | 2020 | 40 | |
| 6 | 2018 | 14 | |
| 7 | 2023 | 10 | |
| 8 | 2024 | 6 | |
| 9 | 2025 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2025 | 0 |
About Andrew Earl
Andrew Earl is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Epigenetics and DNA Methylation (2 papers), Molecular Biology Techniques and Applications (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Biophysics (140 citations), Cancer Research (211 citations), Molecular Biology (945 citations), Immunology (114 citations) and Neurology (28 citations). Andrew Earl has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Jason D. Buenrostro, Zachary Chiang, Caleb A. Lareau, Lindsay M. LaFave, Yan Hu, Vinay K. Kartha, Sai Ma, Tristan Tay, Travis Law and Alison Brack. Their work appears in journals such as Science, Nature Communications, Nature Methods, Nature and Cell stem cell.
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.