Matthew Tudor

4.6k total citations · 2 hit papers
35 papers, 3.5k citations indexed

About

Matthew Tudor is a scholar working on Molecular Biology, Computational Theory and Mathematics and Immunology. According to data from OpenAlex, Matthew Tudor has authored 35 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 5 papers in Immunology. Recurrent topics in Matthew Tudor's work include Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (5 papers) and Plant Reproductive Biology (4 papers). Matthew Tudor is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Machine Learning in Materials Science (5 papers) and Plant Reproductive Biology (4 papers). Matthew Tudor collaborates with scholars based in United States, Switzerland and Czechia. Matthew Tudor's co-authors include Rudolf Jaenisch, Richard Z. Chen, Schahram Akbarian, Hong Mā, Yi Hu, Sara Cherry, Eric S. Lander, Christopher Wilson, Peggy Lee and Györgyi Csankovszki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Genes & Development.

In The Last Decade

Matthew Tudor

34 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deficiency of methyl-CpG binding protein-2 in CNS neurons results in a Rett-like phenotype in mice

2001 1.0k citations Matthew Tudor, Rudolf Jaenisch et al. Nature Genetics profile →
Loss of genomic methylation causes p53-dependent apoptosis and epigenetic deregulation

2001 559 citations Laurie Jackson‐Grusby, Caroline Beard et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Tudor United States	20	2.5k	1.5k	638	623	268	35	3.5k
Scott Dewell United States	22	6.5k 2.5×	1.1k 0.7×	246 0.4×	308 0.5×	35 0.1×	32	7.8k
Aaron K. Wong United States	26	2.1k 0.8×	1.2k 0.8×	204 0.3×	163 0.3×	121 0.5×	47	3.4k
Eric D. Lynch United States	24	1.8k 0.7×	796 0.5×	340 0.5×	141 0.2×	35 0.1×	35	3.4k
Nicole G. Coufal United States	21	2.8k 1.1×	932 0.6×	152 0.2×	1.0k 1.6×	49 0.2×	65	4.3k
Mark O. Collins United Kingdom	28	2.3k 0.9×	403 0.3×	247 0.4×	78 0.1×	75 0.3×	55	3.7k
Hannah L. Klein United States	48	7.3k 2.9×	912 0.6×	127 0.2×	1.0k 1.6×	14 0.1×	123	8.3k
Margaret L. Van Keuren United States	22	2.3k 0.9×	627 0.4×	36 0.1×	263 0.4×	166 0.6×	35	3.6k
Brian L. Pike United States	19	2.8k 1.1×	542 0.4×	324 0.5×	169 0.3×	37 0.1×	30	8.6k
Fred P. Davis United States	27	1.6k 0.6×	322 0.2×	99 0.2×	90 0.1×	198 0.7×	37	2.8k
Menachem Fromer United States	21	1.2k 0.5×	897 0.6×	121 0.2×	116 0.2×	37 0.1×	37	2.1k

Countries citing papers authored by Matthew Tudor

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Tudor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Tudor

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dhruv, Harshil, Qiaolin Deng, Matthew Tudor, et al.. (2025). Discovery of a Novel Series of iso-Indolinone-Based Glutarimides as Highly Efficacious and Selective IKZF2 Molecular Glue Degraders. Journal of Medicinal Chemistry. 68(17). 18230–18257.

Zhang, Xuqing, Qiaolin Deng, Harshil Dhruv, et al.. (2025). Overcoming CK1α liability in the discovery of a series of isoIndolinone Glutarimides as selective IKZF2 molecular glue degraders. Bioorganic & Medicinal Chemistry Letters. 124. 130263–130263. 1 indexed citations

Sheridan, Robert P., J. Chris Culberson, Elizabeth Joshi, Matthew Tudor, & Prabha Karnachi. (2022). Prediction Accuracy of Production ADMET Models as a Function of Version: Activity Cliffs Rule. Journal of Chemical Information and Modeling. 62(14). 3275–3280. 15 indexed citations

DiFranzo, Anthony, Robert P. Sheridan, Andy Liaw, & Matthew Tudor. (2020). Nearest Neighbor Gaussian Process for Quantitative Structure–Activity Relationships. Journal of Chemical Information and Modeling. 60(10). 4653–4663. 7 indexed citations

Sheridan, Robert P., Prabha Karnachi, Matthew Tudor, et al.. (2020). Experimental Error, Kurtosis, Activity Cliffs, and Methodology: What Limits the Predictivity of Quantitative Structure–Activity Relationship Models?. Journal of Chemical Information and Modeling. 60(4). 1969–1982. 43 indexed citations

Liu, Yuan, Beth Gordesky-Gold, Michael Leney-Greene, et al.. (2018). Inflammation-Induced, STING-Dependent Autophagy Restricts Zika Virus Infection in the Drosophila Brain. Cell Host & Microbe. 24(1). 57–68.e3. 188 indexed citations

Liu, Yaping, Jeffrey D. Hermes, Jing Li, & Matthew Tudor. (2018). Endogenous Locus Reporter Assays. Methods in molecular biology. 1755. 163–177. 3 indexed citations

Wildey, Mary Jo, Anders Haunsø, Matthew Tudor, Maria L. Webb, & J.H. Connick. (2017). Chapter Five - High-Throughput Screening. 149–195. 3 indexed citations

Wassermann, Anne Mai, Matthew Tudor, & Meir Glick. (2017). Deorphanization strategies for dark chemical matter. Drug Discovery Today Technologies. 23. 69–74. 10 indexed citations

10.

Sabin, Leah R., Qi Zheng, Pramod Thekkat, et al.. (2013). Dicer-2 Processes Diverse Viral RNA Species. PLoS ONE. 8(2). e55458–e55458. 96 indexed citations

11.

Xu, Jie, Gregory R. Grant, Leah R. Sabin, et al.. (2012). Transcriptional Pausing Controls a Rapid Antiviral Innate Immune Response in Drosophila. Cell Host & Microbe. 12(4). 531–543. 53 indexed citations

12.

Shen, Xun, Wei Wang, Liangsu Wang, et al.. (2012). Identification of genes affecting apolipoprotein B secretion following siRNA-mediated gene knockdown in primary human hepatocytes. Atherosclerosis. 222(1). 154–157. 12 indexed citations

13.

Coyne, Carolyn B., Rebecca A. Bozym, Stefanie A. Morosky, et al.. (2011). Comparative RNAi Screening Reveals Host Factors Involved in Enterovirus Infection of Polarized Endothelial Monolayers. Cell Host & Microbe. 9(1). 70–82. 58 indexed citations

14.

Nguyen, Kevin, Marc Ferrer, Jeremy S. Caldwell, et al.. (2011). Parsimonious Discovery of Synergistic Drug Combinations. ACS Chemical Biology. 6(12). 1391–1398. 18 indexed citations

15.

Wilson, Christopher J., Christopher G. Guglielmo, Matthew Tudor, et al.. (2001). Yeast Artificial Chromosome Targeting Technology: An Approach for the Deletion of Genes in the C57BL/6 Mouse. Analytical Biochemistry. 296(2). 270–278. 6 indexed citations

16.

Jackson‐Grusby, Laurie, Caroline Beard, Richard Possemato, et al.. (2001). Loss of genomic methylation causes p53-dependent apoptosis and epigenetic deregulation. Nature Genetics. 27(1). 31–39. 559 indexed citations breakdown →

17.

Takenaka, Toshihiro, et al.. (1999). Enzymatic and functional correction along with long-term enzyme secretion from transduced bone marrow hematopoietic stem/progenitor and stromal cells derived from patients with Fabry disease. Experimental Hematology. 27(7). 1149–1159. 30 indexed citations

18.

Lyko, Frank, Bernard Ramsahoye, Helena Kashevsky, et al.. (1999). Mammalian (cytosine-5) methyltransferases cause genomic DNA methylation and lethality in Drosophila. Nature Genetics. 23(3). 363–366. 163 indexed citations

19.

Fan, Huaying, Yi Hu, Matthew Tudor, & Hong Mā. (1997). Specific interactions between the K domains of AG and AGLs, members of the MADS domain family of DNA binding proteins. The Plant Journal. 12(5). 999–1010. 172 indexed citations

20.

Huang, Hai, et al.. (1995). The Arabidopsis MADS-box gene AGL3 is widely expressed and encodes a sequence-specific DNA-binding protein. Plant Molecular Biology. 28(3). 549–567. 109 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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