Matthew Lyes

403 total citations
8 papers, 306 citations indexed

About

Matthew Lyes is a scholar working on Molecular Biology, Oncology and Microbiology. According to data from OpenAlex, Matthew Lyes has authored 8 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Microbiology. Recurrent topics in Matthew Lyes's work include Cancer Cells and Metastasis (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). Matthew Lyes is often cited by papers focused on Cancer Cells and Metastasis (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Bacterial Identification and Susceptibility Testing (1 paper). Matthew Lyes collaborates with scholars based in United States and Egypt. Matthew Lyes's co-authors include Denzil P. Mathew, Laura E. Crotty Alexander, Shymaa Enany, Elisa McEachern, David T. Pride, Soumita Das, Weg M. Ongkeko, Alexander Moshensky, Sagar P. Bapat and Joel Castellanos and has published in prestigious journals such as Pain, Clinical Chemistry and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Matthew Lyes

8 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Lyes United States	6	152	61	56	53	37	8	306
Cameron Landers United States	9	260 1.7×	66 1.1×	107 1.9×	115 2.2×	27 0.7×	13	509
Raheema Muhammad-Kah United States	11	168 1.1×	60 1.0×	90 1.6×	28 0.5×	45 1.2×	14	311
C. M. Axelrad United States	7	250 1.6×	97 1.6×	95 1.7×	23 0.4×	59 1.6×	8	451
Kiersten S. Derby United States	6	129 0.8×	25 0.4×	119 2.1×	18 0.3×	61 1.6×	9	274
Tanvir Walele United States	14	408 2.7×	200 3.3×	140 2.5×	88 1.7×	92 2.5×	18	572
Samuel C. Okpechi United States	9	60 0.4×	13 0.2×	118 2.1×	58 1.1×	14 0.4×	19	358
Ayşe Baççıoğlu Türkiye	10	113 0.7×	12 0.2×	26 0.5×	48 0.9×	8 0.2×	34	363
Min‐Shan Lu China	11	27 0.2×	19 0.3×	41 0.7×	15 0.3×	127 3.4×	25	369
Delicia Shu Qin Ooi Singapore	12	102 0.7×	9 0.1×	79 1.4×	13 0.2×	52 1.4×	32	364
John Schwarz United States	9	87 0.6×	34 0.6×	60 1.1×	32 0.6×	37 1.0×	16	400

Countries citing papers authored by Matthew Lyes

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Lyes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Lyes

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

All Works

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8 of 8 papers shown

Lyes, Matthew, Kevin H. Yang, Joel Castellanos, & Timothy Furnish. (2022). Microdosing psilocybin for chronic pain: a case series. Pain. 164(4). 698–702. 33 indexed citations

Shammas, Ronnie L., Gloria Broadwater, Christophe Hansen‐Estruch, et al.. (2020). Assessing the Influence of Attending Surgeon Continuity on Free Flap Outcomes Following Unplanned Returns to the Operating Room. Journal of Reconstructive Microsurgery. 36(8). 583–591. 2 indexed citations

Lyes, Matthew, et al.. (2019). Paravertebral Blocks and Propofol Sedation Reduce Recurrence and 5-Year Mortality in Patients Undergoing Mastectomy for Breast Cancer - A Retrospective Cohort Study. SSRN Electronic Journal. 1 indexed citations

Lyes, Matthew, et al.. (2018). Adipose stem cell crosstalk with chemo-residual breast cancer cells: implications for tumor recurrence. Breast Cancer Research and Treatment. 174(2). 413–422. 15 indexed citations

Wang, Honghui, Steven K. Drake, Yong Chen, et al.. (2017). A Genoproteomic Approach to Detect Peptide Markers of Bacterial Respiratory Pathogens. Clinical Chemistry. 63(8). 1398–1408. 17 indexed citations

Lyes, Matthew, Shymaa Enany, Elisa McEachern, et al.. (2016). Electronic cigarette inhalation alters innate immunity and airway cytokines while increasing the virulence of colonizing bacteria. Journal of Molecular Medicine. 94(6). 667–679. 209 indexed citations

Nelson, Erik R., Margaret Kennedy, Michelle Bowie, et al.. (2016). Chemotherapy enriches for an invasive triple-negative breast tumor cell subpopulation expressing a precursor form of N-cadherin on the cell surface. Oncotarget. 7(51). 84030–84042. 18 indexed citations

Martinu, Tereza, Kymberly M. Gowdy, Julia L. Nugent, et al.. (2014). Role of C-C Motif Ligand 2 and C-C Motif Receptor 2 in Murine Pulmonary Graft-versus-Host Disease after Lipopolysaccharide Inhalations. American Journal of Respiratory Cell and Molecular Biology. 51(6). 810–821. 11 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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