Kate Senger

2.3k total citations
19 papers, 1.2k citations indexed

About

Kate Senger is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Kate Senger has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 3 papers in Oncology. Recurrent topics in Kate Senger's work include T-cell and B-cell Immunology (5 papers), RNA Research and Splicing (5 papers) and Immune Cell Function and Interaction (4 papers). Kate Senger is often cited by papers focused on T-cell and B-cell Immunology (5 papers), RNA Research and Splicing (5 papers) and Immune Cell Function and Interaction (4 papers). Kate Senger collaborates with scholars based in United States, France and Switzerland. Kate Senger's co-authors include Junming Yie, Dimitris Thanos, Michael Levine, Menie Merika, Guoying Chen, Nikhil Munshi, Robert P. Zinzen, Dmitri Papatsenko, Kristina A. Harris and Jennifer M. Kwan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Kate Senger

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kate Senger United States 15 781 465 172 137 122 19 1.2k
Ricardo B. Medeiros United States 14 411 0.5× 681 1.5× 172 1.0× 91 0.7× 51 0.4× 24 1.3k
Rebecca Wilson United Kingdom 10 1.0k 1.3× 465 1.0× 245 1.4× 139 1.0× 59 0.5× 13 1.4k
Annemieke A. Michels France 15 1.6k 2.1× 281 0.6× 276 1.6× 161 1.2× 107 0.9× 20 2.0k
B. Decock Belgium 13 469 0.6× 356 0.8× 248 1.4× 92 0.7× 103 0.8× 17 993
Robin M. Meyers United States 14 1.6k 2.1× 482 1.0× 188 1.1× 116 0.8× 302 2.5× 21 2.0k
Erica Pascal United States 8 1.0k 1.3× 202 0.4× 165 1.0× 168 1.2× 162 1.3× 10 1.5k
Martin Devenport United States 17 494 0.6× 676 1.5× 405 2.4× 64 0.5× 70 0.6× 28 1.4k
William M. Winston United States 9 980 1.3× 158 0.3× 113 0.7× 93 0.7× 92 0.8× 24 1.4k
H Ariga Japan 18 905 1.2× 190 0.4× 198 1.2× 86 0.6× 286 2.3× 39 1.3k
Sunnie R. Thompson United States 26 1.5k 1.9× 178 0.4× 122 0.7× 140 1.0× 119 1.0× 36 1.9k

Countries citing papers authored by Kate Senger

Since Specialization
Citations

This map shows the geographic impact of Kate Senger'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 Kate Senger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Senger more than expected).

Fields of papers citing papers by Kate Senger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate Senger. 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 Kate Senger. The network helps show where Kate Senger may publish in the future.

Co-authorship network of co-authors of Kate Senger

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

All Works

19 of 19 papers shown
1.
Oh, Soyoung, Kate Senger, Shravan Madireddi, et al.. (2022). High-efficiency nonviral CRISPR/Cas9-mediated gene editing of human T cells using plasmid donor DNA. The Journal of Experimental Medicine. 219(5). 50 indexed citations
2.
Senger, Kate, Ilseyar Akhmetzyanova, Benjamin Haley, Sascha Rutz, & Soyoung Oh. (2022). Plasmid‐Based Donor Templates for Nonviral CRISPR/Cas9‐Mediated Gene Knock‐In in Human T Cells. Current Protocols. 2(9). e538–e538.
3.
Senger, Kate, Wenlin Yuan, Meredith Sagolla, et al.. (2020). Embryonic lethality and defective mammary gland development of activator‐function impaired conditional knock‐in Erbb3 V943R mice. SHILAP Revista de lepidopterología. 2(1). e10036–e10036. 2 indexed citations
4.
Senger, Kate, Jason A. Hackney, Jian Payandeh, & Ali A. Zarrin. (2015). Antibody Isotype Switching in Vertebrates. Results and problems in cell differentiation. 57. 295–324. 9 indexed citations
5.
Zhu, Catherine, Victor Lee, Kate Senger, et al.. (2012). Origin of Immunoglobulin Isotype Switching. Current Biology. 22(10). 872–880. 40 indexed citations
6.
Misaghi, Shahram, Christopher Garris, Yonglian Sun, et al.. (2010). Increased Targeting of Donor Switch Region and IgE in Sγ1-Deficient B Cells. The Journal of Immunology. 185(1). 166–173. 14 indexed citations
7.
Hackney, Jason A., Shahram Misaghi, Kate Senger, et al.. (2009). Chapter 5 DNA Targets of AID. Advances in immunology. 101. 163–189. 46 indexed citations
8.
Huang, Xinhua, et al.. (2008). DEAF-1 regulates immunity gene expression in Drosophila. Proceedings of the National Academy of Sciences. 105(24). 8351–8356. 38 indexed citations
9.
Zarrin, Ali A., Peter H. Goff, Kate Senger, & Frederick W. Alt. (2008). Sγ3 switch sequences function in place of endogenous Sγ1 to mediate antibody class switching. The Journal of Experimental Medicine. 205(7). 1567–1572. 10 indexed citations
10.
Zinzen, Robert P., Kate Senger, Michael Levine, & Dmitri Papatsenko. (2006). Computational Models for Neurogenic Gene Expression in the Drosophila Embryo. Current Biology. 16(13). 1358–1365. 134 indexed citations
11.
Senger, Kate, Kristina A. Harris, & Michael Levine. (2006). GATA factors participate in tissue-specific immune responses in Drosophila larvae. Proceedings of the National Academy of Sciences. 103(43). 15957–15962. 80 indexed citations
12.
Senger, Kate, et al.. (2004). Immunity Regulatory DNAs Share Common Organizational Features in Drosophila. Molecular Cell. 13(1). 19–32. 121 indexed citations
13.
Nibu, Yutaka, Kate Senger, & Michael Levine. (2003). CtBP-Independent Repression in the Drosophila Embryo. Molecular and Cellular Biology. 23(11). 3990–3999. 24 indexed citations
14.
Senger, Kate, Menie Merika, Theodora Agalioti, et al.. (2000). Gene Repression by Coactivator Repulsion. Molecular Cell. 6(4). 931–937. 65 indexed citations
15.
Bendt, Katharine M., et al.. (2000). Transfection of ?(1,3)fucosyltransferase antisense sequences impairs the proliferative and tumorigenic ability of human colon carcinoma cells. Molecular Carcinogenesis. 27(4). 280–288. 37 indexed citations
16.
Bendt, Katharine M., et al.. (2000). Transfection of alpha(1,3)fucosyltransferase antisense sequences impairs the proliferative and tumorigenic ability of human colon carcinoma cells.. PubMed. 27(4). 280–8. 41 indexed citations
17.
Munshi, Nikhil, Junming Yie, Menie Merika, et al.. (1999). The IFN-  Enhancer: A Paradigm for Understanding Activation and Repression of Inducible Gene Expression. Cold Spring Harbor Symposia on Quantitative Biology. 64(0). 149–160. 54 indexed citations
18.
Yie, Junming, Kate Senger, & Dimitris Thanos. (1999). Mechanism by which the IFN-β enhanceosome activates transcription. Proceedings of the National Academy of Sciences. 96(23). 13108–13113. 101 indexed citations
19.
Munshi, Nikhil, Menie Merika, Junming Yie, et al.. (1998). Acetylation of HMG I(Y) by CBP Turns off IFNβ Expression by Disrupting the Enhanceosome. Molecular Cell. 2(4). 457–467. 285 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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