Frank J. Steemers
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Genetics top 1%
- Immunology top 2%
- Materials Chemistry top 5%
- Co-authors
- Jay ShendureCole TrapnellKevin L. GundersonLena ChristiansenJunyue CaoRiza M. DazaAndrew C. AdeyXiaojie Qiu
- Topics
- Single-cell and spatial transcriptomics (22 papers)Genomics and Chromatin Dynamics (10 papers)Gene expression and cancer classification (9 papers)
- 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
- Molecular Biology 8.2k
- Cancer Research 1.7k
- Genetics 1.6k
- Immunology 1.3k
- Materials Chemistry 926
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 of co-authors of Frank J. Steemers
This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Steemers. A scholar is included among the top collaborators of Frank J. Steemers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frank J. Steemers. Frank J. Steemers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 54 | |
| 3 | 105 | |
| 4 | 230 | |
| 5 | A human cell atlas of fetal gene expressionbreakdown → | 383 |
| 6 | 198 | |
| 7 | 279 | |
| 8 | 78 | |
| 9 | Joint profiling of chromatin accessibility and gene expression in thousands of single cellsbreakdown → | 585 |
| 10 | 380 | |
| 11 | Comprehensive single-cell transcriptional profiling of a multicellular organismbreakdown → | 896 |
| 12 | 28 | |
| 13 | 5 | |
| 14 | Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexingbreakdown → | 829 |
| 15 | 44 | |
| 16 | 112 | |
| 17 | 13 | |
| 18 | 83 | |
| 19 | 373 | |
| 20 | 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) and Gene expression and cancer classification (9 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.