Jacob W. Freimer

825 total citations · 1 hit paper
11 papers, 419 citations indexed

About

Jacob W. Freimer is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Jacob W. Freimer has authored 11 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Jacob W. Freimer's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (3 papers). Jacob W. Freimer is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (3 papers). Jacob W. Freimer collaborates with scholars based in United States, Netherlands and India. Jacob W. Freimer's co-authors include Robert Blelloch, Alexander Marson, Vinh Nguyen, Franziska Blaeschke, Raymund Bueno, Chun Ye, Ralf Schmidt, Zachary Steinhart, Raga Krishnakumar and Amy F. Chen and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Jacob W. Freimer

11 papers receiving 415 citations

Hit Papers

CRISPR activation and interference screens decode stimula... 2022 2026 2023 2024 2022 50 100 150

Peers

Jacob W. Freimer
Wesley L. Cai United States
Cynthia M. Megyola United States
Jing Hao China
Maher Al‐Saif Saudi Arabia
Bianca J. Diaz United States
Boris Noyvert United Kingdom
Frank A. Buquicchio United States
Wesley L. Cai United States
Jacob W. Freimer
Citations per year, relative to Jacob W. Freimer Jacob W. Freimer (= 1×) peers Wesley L. Cai

Countries citing papers authored by Jacob W. Freimer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jacob W. Freimer

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob W. Freimer. A scholar is included among the top collaborators of Jacob W. Freimer 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 Jacob W. Freimer. Jacob W. Freimer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Weinstock, Joshua S., Jacob W. Freimer, Mineto Ota, et al.. (2024). Gene regulatory network inference from CRISPR perturbations in primary CD4+ T cells elucidates the genomic basis of immune disease. Cell Genomics. 4(11). 100671–100671. 5 indexed citations
2.
Mamedov, Murad R., Jacob W. Freimer, Avinash Sahu, et al.. (2023). CRISPR screens decode cancer cell pathways that trigger γδ T cell detection. Nature. 621(7977). 188–195. 49 indexed citations
3.
Freimer, Jacob W., Oren Shaked, Sahin Naqvi, et al.. (2022). Systematic discovery and perturbation of regulatory genes in human T cells reveals the architecture of immune networks. Nature Genetics. 54(8). 1133–1144. 37 indexed citations
4.
DeVeale, Brian, Leqian Liu, Bryan Marsh, et al.. (2022). G1/S restriction point coordinates phasic gene expression and cell differentiation. Nature Communications. 13(1). 3696–3696. 9 indexed citations
5.
Freimer, Jacob W., et al.. (2022). Cell–cell adhesions in embryonic stem cells regulate the stability and transcriptional activity of β‐catenin. FEBS Letters. 596(13). 1647–1660. 5 indexed citations
6.
Mowery, Cody T., Jacob W. Freimer, Ralf Schmidt, et al.. (2022). CRISPRi and KO screens reveal integrated cis- and trans-regulation of the CD28, CTLA4, and ICOS locus in primary human T cells. The Journal of Immunology. 208(Supplement_1). 56.17–56.17. 1 indexed citations
7.
Schmidt, Ralf, Zachary Steinhart, Jacob W. Freimer, et al.. (2022). CRISPR activation and interference screens decode stimulation responses in primary human T cells. Science. 375(6580). eabj4008–eabj4008. 158 indexed citations breakdown →
8.
Belair, Cassandra D., et al.. (2019). High-throughput, Efficient, and Unbiased Capture of Small RNAs from Low-input Samples for Sequencing. Scientific Reports. 9(1). 2262–2262. 15 indexed citations
9.
Chen, Amy F., Arthur Liu, Raga Krishnakumar, et al.. (2018). GRHL2-Dependent Enhancer Switching Maintains a Pluripotent Stem Cell Transcriptional Subnetwork after Exit from Naive Pluripotency. Cell stem cell. 23(2). 226–238.e4. 69 indexed citations
10.
Freimer, Jacob W., Raga Krishnakumar, Matthew S. Cook, & Robert Blelloch. (2018). Expression of Alternative Ago2 Isoform Associated with Loss of microRNA-Driven Translational Repression in Mouse Oocytes. Current Biology. 28(2). 296–302.e3. 18 indexed citations

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.

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