Jacob W. Freimer
Impact in
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- MicroRNA in disease regulation
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Single-cell and spatial transcriptomics 3
- Pluripotent Stem Cells Research 3
- CRISPR and Genetic Engineering 3
- RNA modifications and cancer 2
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 4
- Co-authors
- Robert Blelloch (5 shared papers)Alexander Marson (5 shared papers)Vinh Nguyen (2 shared papers)Ralf Schmidt (2 shared papers)Zachary Steinhart (2 shared papers)Franziska Blaeschke (1 shared paper)Raymund Bueno (1 shared paper)Chun Ye (1 shared paper)
- Journals
- Nature Genetics (1 paper)Cell Genomics (1 paper)Current Biology (1 paper)Scientific Reports (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Jacob W. Freimer
11 papers receiving 415 citations
Jacob W. Freimer's Hit Papers
Peers
Comparison fields: 5 of 54
- Cancer Research 72
- Immunology 99
- Molecular Biology 298
- Aging 7
- Oncology 101
Countries citing papers authored by Jacob W. Freimer
This map shows the geographic impact of Jacob W. Freimer'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 Jacob W. Freimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob W. Freimer more than expected).
Fields of papers citing papers by Jacob W. Freimer
This network shows the impact of papers produced by Jacob W. Freimer. 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 Jacob W. Freimer. The network helps show where Jacob W. Freimer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob W. Freimer, 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 | CRISPR activation and interference screens decode stimulation responses in primary human T cells Hit paper breakdown → | 2022 | 158 |
| 2 | 2018 | 69 | |
| 3 | 2018 | 53 | |
| 4 | 2023 | 49 | |
| 5 | 2022 | 37 | |
| 6 | 2018 | 18 | |
| 7 | 2019 | 15 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 1 |
About Jacob W. Freimer
Jacob W. Freimer is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Surgery, having authored 11 papers that have together received 419 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Single-cell and spatial transcriptomics (3 papers), MicroRNA in disease regulation (3 papers), Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (72 citations), Immunology (99 citations), Molecular Biology (298 citations), Aging (7 citations) and Oncology (101 citations). Jacob W. Freimer has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Robert Blelloch, Alexander Marson, Vinh Nguyen, Ralf Schmidt, Zachary Steinhart, Franziska Blaeschke, Raymund Bueno, Chun Ye, Raga Krishnakumar and Amy F. Chen. Their work appears in journals such as Nature Genetics, Cell Genomics, Current Biology, Scientific Reports and Nature Communications.
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.