Matthew V. Holt

1.0k total citations
22 papers, 589 citations indexed

About

Matthew V. Holt is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Matthew V. Holt has authored 22 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Matthew V. Holt's work include Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (7 papers) and Advanced Proteomics Techniques and Applications (6 papers). Matthew V. Holt is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genomics and Chromatin Dynamics (7 papers) and Advanced Proteomics Techniques and Applications (6 papers). Matthew V. Holt collaborates with scholars based in United States, China and France. Matthew V. Holt's co-authors include Nicolas L. Young, Jun Qin, Kun‐Liang Guan, Yu Fujita, Tomoko Hayashi, Dennis A. Carson, Toshiro Moroishi, Weiwei Pan, Tao Wang and Tingting Jiang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Matthew V. Holt

21 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew V. Holt United States 11 399 205 92 87 66 22 589
Gillian L. Dornan Canada 11 450 1.1× 120 0.6× 48 0.5× 32 0.4× 39 0.6× 15 599
Peter Kubiniok Canada 7 261 0.7× 67 0.3× 64 0.7× 42 0.5× 79 1.2× 9 369
Vincent Groenewold Netherlands 10 533 1.3× 327 1.6× 71 0.8× 89 1.0× 28 0.4× 10 688
Kimon Lemonidis United Kingdom 13 370 0.9× 159 0.8× 74 0.8× 16 0.2× 61 0.9× 16 487
Charles Ducker United Kingdom 10 416 1.0× 121 0.6× 69 0.8× 15 0.2× 55 0.8× 21 493
Danica Wiredja United States 7 295 0.7× 41 0.2× 65 0.7× 65 0.7× 45 0.7× 12 383
Sonia Pacini Italy 8 399 1.0× 113 0.6× 75 0.8× 23 0.3× 54 0.8× 9 617
Murielle Glondu-Lassis France 5 289 0.7× 70 0.3× 83 0.9× 21 0.2× 124 1.9× 6 452
Ana R. Cortázar Spain 12 353 0.9× 66 0.3× 57 0.6× 21 0.2× 151 2.3× 17 484
Julio E. Celis Denmark 9 466 1.2× 61 0.3× 56 0.6× 47 0.5× 61 0.9× 9 585

Countries citing papers authored by Matthew V. Holt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew V. Holt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew V. Holt

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew V. Holt. A scholar is included among the top collaborators of Matthew V. Holt 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 V. Holt. Matthew V. Holt 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.
Wen, Bo, Chenwei Wang, Kai Li, et al.. (2025). DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations. Nature Methods. 22(9). 1857–1867. 2 indexed citations
2.
Lin, Hanfeng, Bin Yang, Lang Ding, et al.. (2025). COOKIE-Pro: covalent inhibitor binding kinetics profiling on the proteome scale. Nature Communications. 16(1). 8373–8373.
3.
Wang, Junkai, Doug W. Chan, Matthew V. Holt, et al.. (2024). Death-associated protein kinase 3 modulates migration and invasion of triple-negative breast cancer cells. PNAS Nexus. 3(9). pgae401–pgae401. 3 indexed citations
4.
Saltzman, Alexander B., Doug W. Chan, Matthew V. Holt, et al.. (2024). Kinase inhibitor pulldown assay (KiP) for clinical proteomics. Clinical Proteomics. 21(1). 3–3. 3 indexed citations
5.
Gou, Xuxu, Craig T. Vollert, Yue Chen, et al.. (2023). Abstract LB134: Targeting coactivators to inhibit ESR1 fusion-driven breast cancer growth. Cancer Research. 83(8_Supplement). LB134–LB134. 1 indexed citations
6.
Gou, Xuxu, Meenakshi Anurag, Jonathan T. Lei, et al.. (2023). Kinome Reprogramming Is a Targetable Vulnerability in ESR1 Fusion-Driven Breast Cancer. Cancer Research. 83(19). 3237–3251. 4 indexed citations
7.
Lei, Jonathan T., Eric J. Jaehnig, Hannah Smith, et al.. (2023). The Breast Cancer Proteome and Precision Oncology. Cold Spring Harbor Perspectives in Medicine. 13(10). a041323–a041323. 2 indexed citations
8.
Wang, Junkai, Alexander B. Saltzman, Eric J. Jaehnig, et al.. (2023). Kinase Inhibitor Pulldown Assay Identifies a Chemotherapy Response Signature in Triple-negative Breast Cancer Based on Purine-binding Proteins. Cancer Research Communications. 3(8). 1551–1563. 1 indexed citations
9.
Chang, Lyra, Idris O. Raji, Michelle Nguyen, et al.. (2021). Discovery of small molecules targeting the tandem tudor domain of the epigenetic factor UHRF1 using fragment-based ligand discovery. Scientific Reports. 11(1). 1121–1121. 27 indexed citations
10.
Hoegenauer, Kevin A., Ayumi Kitano, Matthew V. Holt, et al.. (2021). The histone H3.3 chaperone HIRA restrains erythroid-biased differentiation of adult hematopoietic stem cells. Stem Cell Reports. 16(8). 2014–2028. 8 indexed citations
11.
Dai, Shaobo, Matthew V. Holt, J.R. Horton, et al.. (2020). Characterization of SETD3 methyltransferase–mediated protein methionine methylation. Journal of Biological Chemistry. 295(32). 10901–10910. 14 indexed citations
12.
Guo, Yusong R., Ying Zhou, Miao Jin, et al.. (2020). Orsay Virus CP-δ Adopts a Novel β-Bracelet Structural Fold and Incorporates into Virions as a Head Fiber. Journal of Virology. 94(21). 6 indexed citations
13.
Holt, Matthew V., Tao Wang, & Nicolas L. Young. (2019). High-Throughput Quantitative Top-Down Proteomics: Histone H4. Journal of the American Society for Mass Spectrometry. 30(12). 2548–2560. 34 indexed citations
14.
Holt, Matthew V., et al.. (2018). Early butyrate induced acetylation of histone H4 is proteoform specific and linked to methylation state. Epigenetics. 13(5). 519–535. 28 indexed citations
15.
Holt, Matthew V., et al.. (2018). The histone H4 proteoform dynamics in response to SUV4-20 inhibition reveals single molecule mechanisms of inhibitor resistance. Epigenetics & Chromatin. 11(1). 29–29. 28 indexed citations
16.
Jiang, Tingting, et al.. (2018). Middle‐Down Characterization of the Cell Cycle Dependence of Histone H4 Posttranslational Modifications and Proteoforms. PROTEOMICS. 18(11). e1700442–e1700442. 34 indexed citations
17.
Leng, Wenchuan, Xiaotian Ni, Changqing Sun, et al.. (2017). Proof-of-Concept Workflow for Establishing Reference Intervals of Human Urine Proteome for Monitoring Physiological and Pathological Changes. EBioMedicine. 18. 300–310. 30 indexed citations
18.
Guo, Yusong R., Yuan Wang, Ying Zhou, et al.. (2017). Structure of a pentameric virion-associated fiber with a potential role in Orsay virus entry to host cells. PLoS Pathogens. 13(2). e1006231–e1006231. 13 indexed citations
19.
Holt, Matthew V., et al.. (2017). Recent Advances in Understanding Histone Modification Events. 3(1). 11–17. 4 indexed citations
20.
Moroishi, Toshiro, Tomoko Hayashi, Weiwei Pan, et al.. (2016). The Hippo Pathway Kinases LATS1/2 Suppress Cancer Immunity. Cell. 167(6). 1525–1539.e17. 323 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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