Frank J. Steemers
- Biophysics top 0.2%
- Aging top 1%
- Molecular Biology top 0.5%
- Single-cell and spatial transcriptomics 22
- Genomics and Chromatin Dynamics 10
- Gene expression and cancer classification 9
- Epigenetics and DNA Methylation 6
- Genomics and Phylogenetic Studies 5
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 7
- Immunology top 2%
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- Lanthanide and Transition Metal Complexes 7
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- Molecular Sensors and Ion Detection 5
- Co-authors
- Jay ShendureCole TrapnellKevin L. GundersonLena ChristiansenJunyue CaoRiza M. DazaAndrew C. AdeyXiaojie Qiu
- Cited by
- BiophysicsAgingMolecular Biology
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Frank J. Steemers
53 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Biophysics 858
- Aging 248
- Molecular Biology 8.2k
- Cancer Research 1.7k
- Immunology 1.3k
Countries citing papers authored by Frank J. Steemers
This map shows the geographic impact of Frank J. Steemers'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 Frank J. Steemers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank J. Steemers more than expected).
Fields of papers citing papers by Frank J. Steemers
This network shows the impact of papers produced by Frank J. Steemers. 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 Frank J. Steemers. The network helps show where Frank J. Steemers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank J. Steemers, 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 | 2023 | 6 | |
| 2 | 2021 | 54 | |
| 3 | 2020 | 105 | |
| 4 | 2020 | 230 | |
| 5 | A human cell atlas of fetal gene expressionbreakdown → | 2020 | 383 |
| 6 | 2019 | 198 | |
| 7 | 2019 | 279 | |
| 8 | 2019 | 78 | |
| 9 | Joint profiling of chromatin accessibility and gene expression in thousands of single cellsbreakdown → | 2018 | 585 |
| 10 | 2017 | 380 | |
| 11 | Comprehensive single-cell transcriptional profiling of a multicellular organismbreakdown → | 2017 | 896 |
| 12 | 2017 | 28 | |
| 13 | 2017 | 5 | |
| 14 | Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexingbreakdown → | 2015 | 829 |
| 15 | 2015 | 44 | |
| 16 | 2014 | 112 | |
| 17 | 2013 | 13 | |
| 18 | 2006 | 83 | |
| 19 | 2006 | 373 | |
| 20 | 1997 | 54 |
About Frank J. Steemers
Frank J. Steemers is a scholar working on Molecular Biology, Cancer Research and Aging, having authored 54 papers that have together received 11.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (22 papers), Genomics and Chromatin Dynamics (10 papers), Gene expression and cancer classification (9 papers), Cancer Genomics and Diagnostics (7 papers), Lanthanide and Transition Metal Complexes (7 papers), Epigenetics and DNA Methylation (6 papers), Molecular Sensors and Ion Detection (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Biophysics (858 citations), Aging (248 citations) and Molecular Biology (8.2k citations). Frank J. Steemers has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jay Shendure, Cole Trapnell, Kevin L. Gunderson, Lena Christiansen, Junyue Cao, Riza M. Daza, Andrew C. Adey, Xiaojie Qiu, Darren A. Cusanovich and Andrew J. Hill. Their work appears in journals such as Nature, Science and 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.