Matthew Waas

662 total citations
29 papers, 400 citations indexed

About

Matthew Waas is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Matthew Waas has authored 29 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Spectroscopy and 5 papers in Oncology. Recurrent topics in Matthew Waas's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Matthew Waas is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (8 papers) and Glycosylation and Glycoproteins Research (6 papers). Matthew Waas collaborates with scholars based in United States, Canada and Hong Kong. Matthew Waas's co-authors include Rebekah L. Gundry, Thomas Kislinger, Rachel A. Jones, Christopher Ashwood, Marcus Q. Bernardini, Christoph Wohlmuth, Sandra Chuppa, John A. Corbett, Theodore R. Keppel and Kenneth R. Boheler and has published in prestigious journals such as Nature Communications, Bioinformatics and Analytical Chemistry.

In The Last Decade

Matthew Waas

27 papers receiving 398 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 Waas United States 12 287 149 52 46 42 29 400
Cassandra L. Clift United States 11 162 0.6× 128 0.9× 26 0.5× 44 1.0× 24 0.6× 16 288
Kohji Nagano Japan 12 383 1.3× 137 0.9× 59 1.1× 34 0.7× 51 1.2× 18 550
Jascha‐N. Rybak Switzerland 6 276 1.0× 85 0.6× 143 2.8× 50 1.1× 24 0.6× 7 550
Girish Sardana Canada 7 278 1.0× 128 0.9× 71 1.4× 106 2.3× 24 0.6× 9 462
Shio Watanabe Japan 9 259 0.9× 100 0.7× 58 1.1× 20 0.4× 17 0.4× 12 358
Andrew Macklin Canada 9 203 0.7× 129 0.9× 48 0.9× 54 1.2× 29 0.7× 18 345
Armann Andaya United States 13 330 1.1× 111 0.7× 43 0.8× 93 2.0× 7 0.2× 20 504
Giulia Franciosa Denmark 11 252 0.9× 87 0.6× 82 1.6× 37 0.8× 10 0.2× 18 341
Marta Relvas‐Santos Portugal 9 354 1.2× 39 0.3× 98 1.9× 56 1.2× 32 0.8× 17 466

Countries citing papers authored by Matthew Waas

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Waas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Waas

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Waas. A scholar is included among the top collaborators of Matthew Waas 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 Waas. Matthew Waas 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.
Cao, Pinjiang, Nhu‐An Pham, Matthew Waas, et al.. (2025). Modeling response to the KRAS-G12C inhibitor AZD4625 in KRASG12C NSCLC patient-derived xenografts reveals insights into primary resistance mechanisms. British Journal of Cancer. 134(1). 165–174.
2.
Waas, Matthew, Amanda Khoo, Jiang He, et al.. (2024). Protocol for generating high-fidelity proteomic profiles using DROPPS. STAR Protocols. 5(4). 103397–103397.
3.
Ha, Annie, Amanda Khoo, Vladimir Ignatchenko, et al.. (2024). Comprehensive Prostate Fluid-Based Spectral Libraries for Enhanced Protein Detection in Urine. Journal of Proteome Research. 23(5). 1768–1778. 3 indexed citations
4.
Waas, Matthew, Christina Karamboulas, Shahbaz Khan, et al.. (2024). Molecular correlates for HPV-negative head and neck cancer engraftment prognosticate patient outcomes. Nature Communications. 15(1). 10869–10869. 3 indexed citations
5.
Khan, Shahbaz, Jeffrey Zuccato, Vladimir Ignatchenko, et al.. (2024). Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth. Acta Neuropathologica Communications. 12(1). 39–39. 2 indexed citations
6.
Waas, Matthew, Amanda Khoo, Pirashaanthy Tharmapalan, et al.. (2024). Droplet-based proteomics reveals CD36 as a marker for progenitors in mammary basal epithelium. Cell Reports Methods. 4(4). 100741–100741. 1 indexed citations
7.
Khoo, Amanda, Lydia Liu, Vladimir Ignatchenko, et al.. (2024). Prostate cancer reshapes the secreted and extracellular vesicle urinary proteomes. Nature Communications. 15(1). 5069–5069. 11 indexed citations
8.
Waas, Matthew, Melinda Wojtkiewicz, Maria Burkovetskaya, et al.. (2023). Surfaceome mapping of primary human heart cells with CellSurfer uncovers cardiomyocyte surface protein LSMEM2 and proteome dynamics in failing hearts. Nature Cardiovascular Research. 2(1). 76–95. 24 indexed citations
9.
Poon, Ellen, et al.. (2021). Importance of evaluating protein glycosylation in pluripotent stem cell-derived cardiomyocytes for research and clinical applications. Pflügers Archiv - European Journal of Physiology. 473(7). 1041–1059. 10 indexed citations
10.
Waas, Matthew, et al.. (2020). SurfaceGenie: a web-based application for prioritizing cell-type-specific marker candidates. Bioinformatics. 36(11). 3447–3456. 37 indexed citations
11.
Keppel, Theodore R., Matthew Waas, Alexander E Salmon, et al.. (2020). Quantitative proteomic analysis of aqueous humor after rabbit lensectomy reveals differences in coagulation and immunomodulatory proteins. Molecular Omics. 16(2). 126–137. 6 indexed citations
12.
Waas, Matthew, et al.. (2020). CIRFESS: An Interactive Resource for Querying the Set of Theoretically Detectable Peptides for Cell Surface and Extracellular Enrichment Proteomic Studies. Journal of the American Society for Mass Spectrometry. 31(7). 1389–1397. 14 indexed citations
13.
Wohlmuth, Christoph, et al.. (2020). High-throughput approaches for precision medicine in high-grade serous ovarian cancer. Journal of Hematology & Oncology. 13(1). 134–134. 56 indexed citations
14.
Ashwood, Christopher, et al.. (2020). Reference glycan structure libraries of primary human cardiomyocytes and pluripotent stem cell-derived cardiomyocytes reveal cell-type and culture stage-specific glycan phenotypes. Journal of Molecular and Cellular Cardiology. 139. 33–46. 20 indexed citations
15.
Waas, Matthew, et al.. (2019). SP2: Rapid and Automatable Contaminant Removal from Peptide Samples for Proteomic Analyses. Journal of Proteome Research. 18(4). 1644–1656. 36 indexed citations
16.
Waas, Matthew, Marisol Romero‐Tejeda, Ellen Poon, et al.. (2019). Are These Cardiomyocytes? Protocol Development Reveals Impact of Sample Preparation on the Accuracy of Identifying Cardiomyocytes by Flow Cytometry. Stem Cell Reports. 12(2). 395–410. 14 indexed citations
17.
Moehring, Francie, Matthew Waas, Theodore R. Keppel, et al.. (2018). Quantitative Top-Down Mass Spectrometry Identifies Proteoforms Differentially Released during Mechanical Stimulation of Mouse Skin. Journal of Proteome Research. 17(8). 2635–2648. 5 indexed citations
18.
19.
Haverland, Nicole A., Matthew Waas, Ioanna Ntai, et al.. (2017). Cell Surface Proteomics of N‐Linked Glycoproteins for Typing of Human Lymphocytes. PROTEOMICS. 17(19). 19 indexed citations
20.
Waas, Matthew, et al.. (2014). Transcriptional inhibition of etv2 expression is essential for embryonic cardiac development. Developmental Biology. 393(1). 71–83. 15 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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