Matthew D. Sekedat

1.0k total citations
15 papers, 773 citations indexed

About

Matthew D. Sekedat is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew D. Sekedat has authored 15 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew D. Sekedat's work include Ion channel regulation and function (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Matthew D. Sekedat is often cited by papers focused on Ion channel regulation and function (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). Matthew D. Sekedat collaborates with scholars based in United States. Matthew D. Sekedat's co-authors include Tom W. Muir, Roderick MacKinnon, Francis I. Valiyaveetil, Brian T. Chait, Alan J. Tackett, Michael P. Rout, Lars E. P. Dietrich, Alexa Price‐Whelan, Hassan Sakhtah and Jeffrey A. DeGrasse and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Matthew D. Sekedat

15 papers receiving 767 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew D. Sekedat United States	13	660	122	75	56	53	15	773
Lars Brive Sweden	16	623 0.9×	113 0.9×	26 0.3×	80 1.4×	64 1.2×	24	878
Lester G. Carter United Kingdom	17	729 1.1×	123 1.0×	32 0.4×	61 1.1×	72 1.4×	24	965
Giovanni Smaldone Italy	17	606 0.9×	78 0.6×	23 0.3×	56 1.0×	43 0.8×	71	907
Fatma Guettou Sweden	6	495 0.8×	89 0.7×	48 0.6×	12 0.2×	35 0.7×	6	745
Subhasis B. Biswas United States	18	783 1.2×	300 2.5×	49 0.7×	33 0.6×	28 0.5×	54	958
P Dessen France	5	573 0.9×	110 0.9×	39 0.5×	47 0.8×	51 1.0×	7	756
Guus B. Erkens Netherlands	10	459 0.7×	117 1.0×	52 0.7×	14 0.3×	83 1.6×	11	771
Ivaylo P. Ivanov United States	16	898 1.4×	102 0.8×	29 0.4×	25 0.4×	36 0.7×	33	1.0k
Yuchun Du United States	20	454 0.7×	40 0.3×	37 0.5×	36 0.6×	54 1.0×	34	796
A. K. Mohanty India	10	449 0.7×	180 1.5×	23 0.3×	14 0.3×	32 0.6×	35	714

Countries citing papers authored by Matthew D. Sekedat

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Sekedat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Sekedat

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

All Works

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15 of 15 papers shown

Tworek, Joseph A., et al.. (2020). The Utility of Rapid Nucleic Acid Amplification Testing to Triage Symptomatic Patients and to Screen Asymptomatic Preprocedure Patients for SARS-CoV-2. Open Forum Infectious Diseases. 8(1). ofaa607–ofaa607. 12 indexed citations

Porreco, Richard P., Matthew D. Sekedat, Allan T. Bombard, et al.. (2019). Evaluation of a novel screening method for fetal aneuploidy using cell-free DNA in maternal plasma. Journal of Medical Screening. 27(1). 1–8. 5 indexed citations

Lin, Yu-Cheng, Matthew D. Sekedat, William Cole Cornell, et al.. (2018). Phenazines Regulate Nap-Dependent Denitrification in Pseudomonas aeruginosa Biofilms. Journal of Bacteriology. 200(9). 26 indexed citations

Schwartz, Kelly, Matthew D. Sekedat, Adnan K. Syed, et al.. (2014). The AgrD N-Terminal Leader Peptide of Staphylococcus aureus Has Cytolytic and Amyloidogenic Properties. Infection and Immunity. 82(9). 3837–3844. 30 indexed citations

Sekedat, Matthew D., Adriana‐Inés Rodríguez‐Hernández, Taylor S. Cohen, et al.. (2012). Redundant phenazine operons in Pseudomonas aeruginosa exhibit environment-dependent expression and differential roles in pathogenicity. Proceedings of the National Academy of Sciences. 109(47). 19420–19425. 124 indexed citations

Fernández-Martı́nez, Javier, Jeremy Phillips, Matthew D. Sekedat, et al.. (2012). Structure–function mapping of a heptameric module in the nuclear pore complex. The Journal of Cell Biology. 196(4). 419–434. 88 indexed citations

Okegbe, Chinweike, Hassan Sakhtah, Matthew D. Sekedat, Alexa Price‐Whelan, & Lars E. P. Dietrich. (2011). Redox Eustress: Roles for Redox-Active Metabolites in Bacterial Signaling and Behavior. Antioxidants and Redox Signaling. 16(7). 658–667. 34 indexed citations

Sekedat, Matthew D., David Fenyö, Richard S. Rogers, et al.. (2010). GINS motion reveals replication fork progression is remarkably uniform throughout the yeast genome. Molecular Systems Biology. 6(1). 353–353. 92 indexed citations

Pratt, Matthew R., Matthew D. Sekedat, Kyle P. Chiang, & Tom W. Muir. (2009). Direct Measurement of Cathepsin B Activity in the Cytosol of Apoptotic Cells by an Activity-Based Probe. Chemistry & Biology. 16(9). 1001–1012. 32 indexed citations

10.

Valiyaveetil, Francis I., Matthew D. Sekedat, Roderick MacKinnon, & Tom W. Muir. (2006). Structural and Functional Consequences of an Amide-to-Ester Substitution in the Selectivity Filter of a Potassium Channel. Journal of the American Chemical Society. 128(35). 11591–11599. 48 indexed citations

11.

Tackett, Alan J., Jeffrey A. DeGrasse, Matthew D. Sekedat, et al.. (2005). I-DIRT, A General Method for Distinguishing between Specific and Nonspecific Protein Interactions. Journal of Proteome Research. 4(5). 1752–1756. 114 indexed citations

12.

Valiyaveetil, Francis I., Matthew D. Sekedat, Tom W. Muir, & Roderick MacKinnon. (2004). Semisynthesis of a Functional K⁺ Channel. Angewandte Chemie International Edition. 43(19). 2504–2507. 47 indexed citations

13.

Valiyaveetil, Francis I., Matthew D. Sekedat, Tom W. Muir, & Roderick MacKinnon. (2004). Semisynthesis of a Functional K⁺ Channel. Angewandte Chemie. 116(19). 2558–2561. 14 indexed citations

14.

Ottesen, Jennifer J., Morgan Huse, Matthew D. Sekedat, & Tom W. Muir. (2004). Semisynthesis of Phosphovariants of Smad2 Reveals a Substrate Preference of the Activated TβRI Kinase. Biochemistry. 43(19). 5698–5706. 31 indexed citations

15.

Valiyaveetil, Francis I., Matthew D. Sekedat, Roderick MacKinnon, & Tom W. Muir. (2004). Glycine as a d -amino acid surrogate in the K ⁺ -selectivity filter. Proceedings of the National Academy of Sciences. 101(49). 17045–17049. 76 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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