Matthew P. Stokes

4.7k total citations
49 papers, 1.6k citations indexed

About

Matthew P. Stokes is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Matthew P. Stokes has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Spectroscopy. Recurrent topics in Matthew P. Stokes's work include Ubiquitin and proteasome pathways (10 papers), Advanced Proteomics Techniques and Applications (9 papers) and DNA Repair Mechanisms (8 papers). Matthew P. Stokes is often cited by papers focused on Ubiquitin and proteasome pathways (10 papers), Advanced Proteomics Techniques and Applications (9 papers) and DNA Repair Mechanisms (8 papers). Matthew P. Stokes collaborates with scholars based in United States, France and Germany. Matthew P. Stokes's co-authors include Michael J. Comb, Roberto D. Polakiewicz, Jeffrey C. Silva, Kimberly A. Lee, A. John Rush, Joan MacNeill, Julie Nardone, Steven P. Gygi, Ailan Guo and Klarisa Rikova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Matthew P. Stokes

46 papers receiving 1.5k citations

Peers

Matthew P. Stokes
Marta Mendes Portugal
Jeong Heon Ko South Korea
Graham Steers United Kingdom
Jingyi Yu China
Alexander Thompson United Kingdom
Marta Mendes Portugal
Matthew P. Stokes
Citations per year, relative to Matthew P. Stokes Matthew P. Stokes (= 1×) peers Marta Mendes

Countries citing papers authored by Matthew P. Stokes

Since Specialization
Citations

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

Fields of papers citing papers by Matthew P. Stokes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew P. Stokes

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew P. Stokes. A scholar is included among the top collaborators of Matthew P. Stokes 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 P. Stokes. Matthew P. Stokes 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.
Blazev, Ronnie, Barry M. Zee, Chengxin Zhang, et al.. (2025). Site-specific quantification of the in vivo UFMylome reveals myosin modification in ALS. Cell Reports Methods. 5(5). 101048–101048.
2.
Srivastava, Ayush, ASM Shihavuddin, Marion Faucourt, et al.. (2025). mTOR controls ependymal cell differentiation by targeting the alternative cell cycle and centrosomal proteins. EMBO Reports. 26(12). 3075–3105. 1 indexed citations
4.
Rodrígues-Amorím, Daniela, P. Lorenzo Bozzelli, TaeHyun Kim, et al.. (2024). Multisensory gamma stimulation mitigates the effects of demyelination induced by cuprizone in male mice. Nature Communications. 15(1). 6744–6744. 8 indexed citations
5.
Laurent, Camille, Preeti Trisal, Bruno Tesson, et al.. (2023). Identification of an activated/memory B‐cell signature of poor outcome and sensitivity to lenalidomide in follicular lymphoma patients. Hematological Oncology. 41(S2). 288–290. 1 indexed citations
7.
Doctor, Zainab M., Annan Yang, Mingfeng Hao, et al.. (2023). Development and Characterization of Selective FAK Inhibitors and PROTACs with In Vivo Activity. ChemBioChem. 24(19). e202300141–e202300141. 8 indexed citations
8.
Backe, Sarah J., Matthew P. Stokes, Endre Sebestyén, et al.. (2023). PhosY-secretome profiling combined with kinase-substrate interaction screening defines active c-Src-driven extracellular signaling. Cell Reports. 42(6). 112539–112539. 9 indexed citations
9.
Stokes, Matthew P., et al.. (2021). Perioperative medicine in paediatric anaesthesia. British Journal of Hospital Medicine. 82(12). 1–2.
10.
Possemato, Anthony, et al.. (2021). Global Proteome Profiling to Assess Changes in Protein Abundance Using Isobaric Labeling and Liquid Chromatography-Tandem Mass Spectrometry. Methods in molecular biology. 2365. 301–313. 3 indexed citations
11.
Houston, Ryan, Shiori Sekine, Michael Calderon, et al.. (2020). Acetylation-mediated remodeling of the nucleolus regulates cellular acetyl-CoA responses. PLoS Biology. 18(11). e3000981–e3000981. 24 indexed citations
12.
Kuperwasser, Nicolas, Vonda Koka, Chi Zhang, et al.. (2020). mTOR and S6K1 drive polycystic kidney by the control of Afadin-dependent oriented cell division. Nature Communications. 11(1). 3200–3200. 25 indexed citations
13.
Held, Matthew A., Emily Greenfest‐Allen, Su Su, et al.. (2020). Phospho-PTM proteomic discovery of novel EPO- modulated kinases and phosphatases, including PTPN18 as a positive regulator of EPOR/JAK2 Signaling. Cellular Signalling. 69. 109554–109554. 8 indexed citations
14.
Held, Matthew A., Emily Greenfest‐Allen, Christian J. Stoeckert, et al.. (2020). Phospho-proteomic discovery of novel signal transducers including thioredoxin-interacting protein as mediators of erythropoietin-dependent human erythropoiesis. Experimental Hematology. 84. 29–44. 11 indexed citations
15.
Zhang, Xu, Zhibin Ning, Janice Mayne, et al.. (2020). Widespread protein lysine acetylation in gut microbiome and its alterations in patients with Crohn’s disease. Nature Communications. 11(1). 4120–4120. 49 indexed citations
16.
Gu, Hongbo, Jianmin Ren, Xiaoying Jia, & Matthew P. Stokes. (2017). Identification of Post-Translational Modifications from Serum/Plasma by Immunoaffinity Enrichment and LC-MS/MS Analysis Without Depletion of Abundant Proteins. Methods in molecular biology. 1619. 119–125. 2 indexed citations
17.
Dogan, Taner, Florian Gnad, Jocelyn Chan, et al.. (2017). Role of the E3 ubiquitin ligase RNF157 as a novel downstream effector linking PI3K and MAPK signaling pathways to the cell cycle. Journal of Biological Chemistry. 292(35). 14311–14324. 19 indexed citations
18.
Gu, Hongbo, Jian Ren, Xiaoying Jia, et al.. (2015). Quantitative Profiling of Post-translational Modifications by Immunoaffinity Enrichment and LC-MS/MS in Cancer Serum without Immunodepletion. Molecular & Cellular Proteomics. 15(2). 692–702. 42 indexed citations
19.
Giansanti, Piero, Matthew P. Stokes, Jeffrey C. Silva, Arjen Scholten, & Albert J. R. Heck. (2013). Interrogating cAMP-dependent Kinase Signaling in Jurkat T Cells via a Protein Kinase A Targeted Immune-precipitation Phosphoproteomics Approach. Molecular & Cellular Proteomics. 12(11). 3350–3359. 44 indexed citations
20.
Lee, Kimberly A., Paul S. Andrews, Matthew P. Stokes, et al.. (2011). Ubiquitin Ligase Substrate Identification through Quantitative Proteomics at Both the Protein and Peptide Levels. Journal of Biological Chemistry. 286(48). 41530–41538. 70 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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