Andrew J. Kueh

4.0k total citations
58 papers, 1.6k citations indexed

About

Andrew J. Kueh is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Andrew J. Kueh has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 21 papers in Immunology and 17 papers in Oncology. Recurrent topics in Andrew J. Kueh's work include T-cell and B-cell Immunology (8 papers), interferon and immune responses (7 papers) and Epigenetics and DNA Methylation (7 papers). Andrew J. Kueh is often cited by papers focused on T-cell and B-cell Immunology (8 papers), interferon and immune responses (7 papers) and Epigenetics and DNA Methylation (7 papers). Andrew J. Kueh collaborates with scholars based in Australia, United States and United Kingdom. Andrew J. Kueh's co-authors include Anne K. Voss, Tim Thomas, Marco J. Herold, Mathew P. Dixon, Andreas Strasser, Stephen Wilcox, Margs S. Brennan, Lin Tai, Liz Milla and Liam O’Connor and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Andrew J. Kueh

51 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Kueh Australia 20 1.1k 351 308 167 165 58 1.6k
Wendy Dubois United States 21 1.1k 0.9× 372 1.1× 328 1.1× 99 0.6× 201 1.2× 35 1.6k
Yvan Martineau France 22 1.5k 1.3× 353 1.0× 381 1.2× 178 1.1× 230 1.4× 33 2.0k
Venugopalan Cheriyath United States 20 868 0.8× 364 1.0× 211 0.7× 110 0.7× 165 1.0× 29 1.3k
Owen M. Siggs Australia 26 873 0.8× 715 2.0× 241 0.8× 267 1.6× 167 1.0× 67 1.9k
Takeshi Ueda Japan 18 1.3k 1.1× 202 0.6× 204 0.7× 121 0.7× 138 0.8× 39 1.5k
David Klinkebiel United States 18 691 0.6× 320 0.9× 258 0.8× 96 0.6× 163 1.0× 35 1.1k
Umut Şahin France 14 1.2k 1.1× 280 0.8× 622 2.0× 117 0.7× 254 1.5× 20 1.9k
Hetian Lei China 24 1.1k 1.0× 160 0.5× 158 0.5× 136 0.8× 160 1.0× 82 1.9k
Makoto Yoshimitsu Japan 23 567 0.5× 633 1.8× 429 1.4× 124 0.7× 122 0.7× 102 1.7k

Countries citing papers authored by Andrew J. Kueh

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Kueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Kueh. 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 Andrew J. Kueh. The network helps show where Andrew J. Kueh may publish in the future.

Co-authorship network of co-authors of Andrew J. Kueh

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Kueh. A scholar is included among the top collaborators of Andrew J. Kueh 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 Andrew J. Kueh. Andrew J. Kueh 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.
Kauppi, Maria, Craig D. Hyland, Elizabeth M. Viney, et al.. (2025). Cullin-5 controls the number of megakaryocyte-committed stem cells to prevent thrombocytosis in mice. Blood. 145(10). 1034–1046. 1 indexed citations
2.
Guzmán, Luís, Kunlun Li, Andrew J. Kueh, et al.. (2025). The Ability of SOCS1 to Cross-Regulate GM-CSF Signaling is Dose Dependent. Journal of Interferon & Cytokine Research. 45(2). 53–67.
3.
Kueh, Andrew J., Martin Pál, Lin Tai, et al.. (2025). Transcriptomic changes including p53 dysregulation prime DNMT3A mutant cells for transformation. EMBO Reports. 26(11). 2855–2882.
4.
Ma, Xiuquan, James Rickard, Catherine N. Hall, et al.. (2025). NLRP3 inflammasome–driven hemophagocytic lymphohistiocytosis occurs independent of IL-1β and IL-18 and is targetable by BET inhibitors. Science Advances. 11(28). eadv0079–eadv0079.
5.
Weber, Tom, Christine Biben, Denise C. Miles, et al.. (2025). LoxCode in vivo barcoding reveals epiblast clonal fate bias to fetal organs. Cell. 188(14). 3882–3896.e19.
6.
McCulloch, Timothy R., Gustavo Rodrigues Rossi, Pui Yeng Lam, et al.. (2024). Dichotomous outcomes of TNFR1 and TNFR2 signaling in NK cell-mediated immune responses during inflammation. Nature Communications. 15(1). 9871–9871. 10 indexed citations
7.
Heywood, Sarah, Martin Pál, Andrew J. Kueh, et al.. (2024). ACAD10 is not required for metformin's metabolic actions or for maintenance of whole‐body metabolism in C57BL / 6J mice. Diabetes Obesity and Metabolism. 26(5). 1731–1745. 3 indexed citations
8.
Behrens, Kira, Maria Kauppi, Elizabeth M. Viney, et al.. (2024). Differential in vivo roles of Mpl cytoplasmic tyrosine residues in murine hematopoiesis and myeloproliferative disease. Leukemia. 38(6). 1342–1352.
9.
Swiderski, Kristy, Jennifer Trieu, Annabel Chee, et al.. (2024). Altering phosphorylation of dystrophin S3059 to attenuate cancer cachexia. Life Sciences. 362. 123343–123343. 1 indexed citations
10.
Frank, Daniel, Maria Bergamasco, Michael J. Mlodzianoski, et al.. (2023). Trabid patient mutations impede the axonal trafficking of adenomatous polyposis coli to disrupt neurite growth. eLife. 12.
11.
Mizutani, Shinsuke, Alexandra L. Garnham, Connie S.N. Li Wai Suen, et al.. (2023). Deletion of the transcriptional regulator TFAP4 accelerates c-MYC-driven lymphomagenesis. Cell Death and Differentiation. 30(6). 1447–1456. 2 indexed citations
12.
Croft, Brittany, Anthony D. Bird, Makoto Ono, et al.. (2022). FGF9 variant in 46, XY DSD patient suggests a role for dimerization in sex determination. Clinical Genetics. 103(3). 277–287. 9 indexed citations
13.
Li, Kunlun, Lachlan Whitehead, Andrew J. Kueh, et al.. (2022). SOCS2 regulation of growth hormone signaling requires a canonical interaction with phosphotyrosine. Bioscience Reports. 42(12). 3 indexed citations
14.
Alam, Jahangir, Liang Xie, Caroline Ang, et al.. (2020). Therapeutic blockade of CXCR2 rapidly clears inflammation in arthritis and atopic dermatitis models: demonstration with surrogate and humanized antibodies. mAbs. 12(1). 1856460–1856460. 14 indexed citations
15.
Chopin, Michaël, Aaron T. L. Lun, Yifan Zhan, et al.. (2019). Transcription Factor PU.1 Promotes Conventional Dendritic Cell Identity and Function via Induction of Transcriptional Regulator DC-SCRIPT. Immunity. 50(1). 77–90.e5. 68 indexed citations
16.
Janic, Ana, Liz J. Valente, Matthew J. Wakefield, et al.. (2018). DNA repair processes are critical mediators of p53-dependent tumor suppression. Nature Medicine. 24(7). 947–953. 119 indexed citations
17.
Aubrey, Brandon J., Ana Janic, Yunshun Chen, et al.. (2018). Mutant TRP53 exerts a target gene-selective dominant-negative effect to drive tumor development. Genes & Development. 32(21-22). 1420–1429. 35 indexed citations
18.
Doerflinger, Marcel, Christina Nedeva, James C. Paton, et al.. (2017). DR5 and caspase-8 are dispensable in ER stress-induced apoptosis. Cell Death and Differentiation. 24(5). 944–950. 60 indexed citations
19.
Sheikh, Bilal N., Natalie L. Downer, Andrew J. Kueh, Tim Thomas, & Anne K. Voss. (2013). Excessive versus Physiologically Relevant Levels of Retinoic Acid in Embryonic Stem Cell Differentiation. Stem Cells. 32(6). 1451–1458. 14 indexed citations
20.
Voss, Anne K., et al.. (2011). Chromatin Immunoprecipitation of Mouse Embryos. Methods in molecular biology. 809. 335–352. 14 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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