Benjamin Emert
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 5
- Gene Regulatory Network Analysis 5
- CRISPR and Genetic Engineering 4
- Pluripotent Stem Cells Research 2
- Gut microbiota and health 2
- RNA Research and Splicing 2
-
- Cell Image Analysis Techniques 3
- Co-authors
- Arjun Raj (10 shared papers)Eduardo A. Torre (6 shared papers)Sydney M. Shaffer (6 shared papers)Abhyudai Singh (4 shared papers)Margaret C. Dunagin (4 shared papers)Min Xiao (2 shared papers)Meenhard Herlyn (2 shared papers)Katrin Sproesser (1 shared paper)
- Journals
- Nature Biotechnology (3 papers)Cell Systems (2 papers)Nature (2 papers)Cell (2 papers)Nature Methods (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Benjamin Emert
19 papers receiving 1.7k citations
Benjamin Emert's Hit Papers
Peers
Comparison fields: 5 of 117
- Biophysics 149
- Cancer Research 280
- Molecular Biology 1.3k
- Oncology 282
- Modeling and Simulation 40
Countries citing papers authored by Benjamin Emert
This map shows the geographic impact of Benjamin Emert'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 Benjamin Emert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Emert more than expected).
Fields of papers citing papers by Benjamin Emert
This network shows the impact of papers produced by Benjamin Emert. 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 Benjamin Emert. The network helps show where Benjamin Emert may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin Emert, 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 | Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance Hit paper breakdown → | 2017 | 785 |
| 2 | 2015 | 264 | |
| 3 | 2020 | 127 | |
| 4 | 2018 | 109 | |
| 5 | 2021 | 84 | |
| 6 | Genome organization around nuclear speckles drives mRNA splicing efficiency Hit paper breakdown → | 2024 | 70 |
| 7 | 2020 | 47 | |
| 8 | 2021 | 36 | |
| 9 | 2023 | 30 | |
| 10 | 2022 | 24 | |
| 11 | 2020 | 19 | |
| 12 | 2019 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2013 | 14 | |
| 15 | 2024 | 13 | |
| 16 | 2022 | 11 | |
| 17 | 2014 | 8 | |
| 18 | 2025 | 4 | |
| 19 | 2015 | 1 |
About Benjamin Emert
Benjamin Emert is a scholar working on Molecular Biology, Biophysics, Infectious Diseases, Cancer Research and Surgery, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Gene Regulatory Network Analysis (5 papers), CRISPR and Genetic Engineering (4 papers), Cell Image Analysis Techniques (3 papers), Cancer Genomics and Diagnostics (2 papers), Pluripotent Stem Cells Research (2 papers), Gut microbiota and health (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Biophysics (149 citations), Cancer Research (280 citations), Molecular Biology (1.3k citations), Oncology (282 citations) and Modeling and Simulation (40 citations). Benjamin Emert has collaborated with scholars based in United States and Germany. Frequent co-authors include Arjun Raj, Eduardo A. Torre, Sydney M. Shaffer, Abhyudai Singh, Margaret C. Dunagin, Min Xiao, Meenhard Herlyn, Katrin Sproesser, Ioannis N. Anastopoulos and Cesar A. Vargas-García. Their work appears in journals such as Nature Biotechnology, Cell Systems, Nature, Cell and Nature Methods.
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.