Kristen W. Lynch

9.1k total citations
87 papers, 4.4k citations indexed

About

Kristen W. Lynch is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Kristen W. Lynch has authored 87 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 14 papers in Immunology and 10 papers in Cancer Research. Recurrent topics in Kristen W. Lynch's work include RNA Research and Splicing (74 papers), RNA modifications and cancer (52 papers) and RNA and protein synthesis mechanisms (41 papers). Kristen W. Lynch is often cited by papers focused on RNA Research and Splicing (74 papers), RNA modifications and cancer (52 papers) and RNA and protein synthesis mechanisms (41 papers). Kristen W. Lynch collaborates with scholars based in United States, Canada and United Kingdom. Kristen W. Lynch's co-authors include Tom Maniatis, Florian Heyd, Michael J. Mallory, Arthur Weiss, Nicole M. Martínez, Matthew R. Gazzara, Yoseph Barash, Laura B. Motta-Mena, Sara Cherry and Ganesh Shankarling and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kristen W. Lynch

84 papers receiving 4.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristen W. Lynch United States 39 3.7k 888 580 259 232 87 4.4k
Liam P. Keegan United Kingdom 25 3.7k 1.0× 437 0.5× 306 0.5× 132 0.5× 144 0.6× 52 4.0k
Xi Shi China 14 4.4k 1.2× 495 0.6× 511 0.9× 124 0.5× 186 0.8× 30 5.3k
Chyi‐Ying A. Chen United States 17 3.5k 1.0× 533 0.6× 775 1.3× 104 0.4× 129 0.6× 19 4.2k
Stefan Höning Germany 38 3.0k 0.8× 791 0.9× 170 0.3× 334 1.3× 200 0.9× 66 4.8k
Shondra M. Pruett‐Miller United States 32 3.0k 0.8× 590 0.7× 234 0.4× 101 0.4× 167 0.7× 97 3.8k
Megerditch Kiledjian United States 45 6.4k 1.7× 550 0.6× 1.2k 2.1× 85 0.3× 240 1.0× 87 7.2k
Michael F. Jantsch Austria 37 4.6k 1.2× 525 0.6× 384 0.7× 68 0.3× 459 2.0× 77 5.0k
Charles Yeaman United States 30 3.1k 0.9× 496 0.6× 244 0.4× 295 1.1× 181 0.8× 41 4.6k
Hervé Le Hir France 39 6.4k 1.7× 236 0.3× 395 0.7× 120 0.5× 383 1.7× 68 6.9k
Naoyuki Kataoka Japan 28 4.3k 1.2× 204 0.2× 382 0.7× 117 0.5× 160 0.7× 65 4.8k

Countries citing papers authored by Kristen W. Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Kristen W. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristen W. Lynch. 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 Kristen W. Lynch. The network helps show where Kristen W. Lynch may publish in the future.

Co-authorship network of co-authors of Kristen W. Lynch

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

All Works

20 of 20 papers shown
1.
Peng, Ruchao, Binod Nepal, Fenglin Li, et al.. (2025). Molecular basis of influenza ribonucleoprotein complex assembly and processive RNA synthesis. Science. 388(6748). eadq7597–eadq7597. 5 indexed citations
2.
Wu, Di, Anupama Jha, Caleb M. Radens, et al.. (2024). Machine learning-optimized targeted detection of alternative splicing. Nucleic Acids Research. 53(3).
3.
Stanley, Robert, Kevin A. Janssen, Mathieu Quesnel-Vallières, et al.. (2024). A mitochondrial surveillance mechanism activated by SRSF2 mutations in hematologic malignancies. Journal of Clinical Investigation. 134(12). 8 indexed citations
4.
Quesnel-Vallières, Mathieu, et al.. (2023). MAJIQlopedia: an encyclopedia of RNA splicing variations in human tissues and cancer. Nucleic Acids Research. 52(D1). D213–D221. 7 indexed citations
5.
Ferretti, Max, et al.. (2023). Host mRNA deadenylation machinery selectively targets interferon mRNAs, regulating antiviral immunity. The Journal of Immunology. 210(Supplement_1). 236.08–236.08.
6.
Bhat, Prasanna, Vasilisa Aksenova, Matthew R. Gazzara, et al.. (2023). Influenza virus mRNAs encode determinants for nuclear export via the cellular TREX-2 complex. Nature Communications. 14(1). 2304–2304. 14 indexed citations
7.
Hogan, Michael J., Bridget E. Begg, Annalisa Nicastri, et al.. (2023). Cryptic MHC-E epitope from influenza elicits a potent cytolytic T cell response. Nature Immunology. 24(11). 1933–1946. 11 indexed citations
8.
Mallory, Michael J., et al.. (2023). Alternative splicing of HDAC7 regulates its interaction with 14-3-3 proteins to alter histone marks and target gene expression. Cell Reports. 42(3). 112273–112273. 8 indexed citations
9.
Xie, Yihu, Shengyan Gao, Ke Zhang, et al.. (2023). Structural basis for high-order complex of SARNP and DDX39B to facilitate mRNP assembly. Cell Reports. 42(8). 112988–112988. 13 indexed citations
10.
Stoilov, Peter, et al.. (2022). The global Protein-RNA interaction map of ESRP1 defines a post-transcriptional program that is essential for epithelial cell function. iScience. 25(10). 105205–105205. 9 indexed citations
11.
Burke, James M., Nina Ripin, Max Ferretti, et al.. (2022). RNase L activation in the cytoplasm induces aberrant processing of mRNAs in the nucleus. PLoS Pathogens. 18(11). e1010930–e1010930. 23 indexed citations
12.
Mallory, Michael J., Mathieu Quesnel-Vallières, Rakesh Chatrikhi, et al.. (2021). Alternative splicing redefines landscape of commonly mutated genes in acute myeloid leukemia. Proceedings of the National Academy of Sciences. 118(15). 27 indexed citations
13.
Laliotis, George, Kristen W. Lynch, Philip N. Tsichlis, et al.. (2021). PRMT5 Promotes Symmetric Dimethylation of RNA Processing Proteins and Modulates Activated T Cell Alternative Splicing and Ca2+/NFAT Signaling. ImmunoHorizons. 5(10). 884–897. 12 indexed citations
14.
Li, Minghua, Max Ferretti, Baoling Ying, et al.. (2021). Pharmacological activation of STING blocks SARS-CoV-2 infection. Science Immunology. 6(59). 143 indexed citations
15.
Cole, Brian, Samuel J. Allon, Michael J. Mallory, et al.. (2015). Global analysis of physical and functional RNA targets of hnRNP L reveals distinct sequence and epigenetic features of repressed and enhanced exons. RNA. 21(12). 2053–2066. 28 indexed citations
16.
Shankarling, Ganesh, Brian Cole, Michael J. Mallory, & Kristen W. Lynch. (2013). Transcriptome-Wide RNA Interaction Profiling Reveals Physical and Functional Targets of hnRNP L in Human T Cells. Molecular and Cellular Biology. 34(1). 71–83. 40 indexed citations
17.
18.
Johnson, Eric B., David Steffen, Kristen W. Lynch, & Joachim Herz. (2006). Defective splicing of Megf7/Lrp4, a regulator of distal limb development, in autosomal recessive mulefoot disease. Genomics. 88(5). 600–609. 47 indexed citations
19.
Cannon, Brian R., et al.. (2003). A Conserved Signal-Responsive Sequence Mediates Activation-Induced Alternative Splicing of CD45. Molecular Cell. 12(5). 1317–1324. 69 indexed citations
20.
Hertel, Klemens J., et al.. (1996). Structural and functional conservation of the Drosophila doublesex splicing enhancer repeat elements.. PubMed. 2(10). 969–81. 33 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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