Michael Pargett

1.0k total citations
27 papers, 654 citations indexed

About

Michael Pargett is a scholar working on Molecular Biology, Biophysics and Surgery. According to data from OpenAlex, Michael Pargett has authored 27 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Biophysics and 5 papers in Surgery. Recurrent topics in Michael Pargett's work include Gene Regulatory Network Analysis (10 papers), Melanoma and MAPK Pathways (5 papers) and Cell Image Analysis Techniques (5 papers). Michael Pargett is often cited by papers focused on Gene Regulatory Network Analysis (10 papers), Melanoma and MAPK Pathways (5 papers) and Cell Image Analysis Techniques (5 papers). Michael Pargett collaborates with scholars based in United States, United Kingdom and China. Michael Pargett's co-authors include John G. Albeck, David M. Umulis, Taryn E. Gillies, Hilary L. Ashe, Robin E. Harris, Catherine Sutcliffe, Carolyn Teragawa, Alexander E. Davies, Ann E. Rundell and L. A. Geddes and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Cell Metabolism.

In The Last Decade

Michael Pargett

26 papers receiving 650 citations

Peers

Countries citing papers authored by Michael Pargett

Since Specialization

Citations

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

Fields of papers citing papers by Michael Pargett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Pargett

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Monitoring Cellular Energy Balance in Single Cells Using Fluorescent Biosensors for AMPK 2025 ·Methods in molecular biology ·(unknown), (unknown), Michael Pargett, (unknown), John G. Albeck	0
2	Deciphering the history of ERK activity from fixed-cell immunofluorescence measurements 2025 ·Nature Communications ·(unknown), Michael Pargett, (unknown), Devan Murphy, Carolyn Teragawa, (unknown), (unknown), Gerald Quon, John G. Albeck	1
3	Spatiotemporal Clusters of Extracellular Signal-Regulated Kinase Activity Coordinate Cytokine-induced Inflammatory Responses in Human Airway Epithelial Cells 2024 ·American Journal of Respiratory Cell and Molecular Biology ·(unknown), (unknown), (unknown), Michael Pargett, (unknown), Devan Murphy, Mark A. Hardy, (unknown), Amir A. Zeki, John G. Albeck	3
4	A guide to ERK dynamics, part 1: mechanisms and models 2023 ·Biochemical Journal ·(unknown), Devan Murphy, (unknown), (unknown), (unknown), Michael Pargett, John G. Albeck	17
5	A guide to ERK dynamics, part 2: downstream decoding 2023 ·Biochemical Journal ·(unknown), Devan Murphy, (unknown), (unknown), Jason J. Hu, Michael Pargett, John G. Albeck	18
6	Transient phases of OXPHOS inhibitor resistance reveal underlying metabolic heterogeneity in single cells 2021 ·Cell Metabolism ·(unknown), (unknown), Michael Pargett, Carolyn Teragawa, John G. Albeck	30
7	Electrically synchronizing and modulating the dynamics of ERK activation to regulate cell fate 2021 ·iScience ·(unknown), Kan Zhu, Michael Pargett, (unknown), (unknown), Quan Qing, Wolfgang Losert, John G. Albeck, Min Zhao	8
8	Systems-Level Properties of EGFR-RAS-ERK Signaling Amplify Local Signals to Generate Dynamic Gene Expression Heterogeneity 2020 ·Cell Systems ·Alexander E. Davies, Michael Pargett, Stefan Siebert, Taryn E. Gillies, (unknown), (unknown), (unknown), Vaibhav Murthy, Celina E. Juliano, Gerald Quon, Mina J. Bissell, John G. Albeck	30
9	Relaxation oscillations and hierarchy of feedbacks in MAPK signaling 2017 ·Scientific Reports ·Marek Kochańczyk, Paweł Kocieniewski, (unknown), (unknown), (unknown), Michael Pargett, John G. Albeck, William S. Hlavacek, Tomasz Lipniacki	40
10	Single-Cell Imaging of ERK Signaling Using Fluorescent Biosensors 2017 ·Methods in molecular biology ·Michael Pargett, Taryn E. Gillies, Carolyn Teragawa, (unknown), John G. Albeck	23
11	Akt regulation of glycolysis mediates bioenergetic stability in epithelial cells 2017 ·eLife ·Yin P. Hung, Carolyn Teragawa, (unknown), Taryn E. Gillies, Michael Pargett, (unknown), (unknown), (unknown), Jonathan L. Coloff, Mark A. Keibler, Gregory Stephanopoulos, Gary Yellen, Joan S. Brugge, John G. Albeck	56
12	Linear Integration of ERK Activity Predominates over Persistence Detection in Fra-1 Regulation 2017 ·Cell Systems ·Taryn E. Gillies, Michael Pargett, (unknown), Alexander E. Davies, John G. Albeck	59
13	Receptor Level Mechanisms Are Required for Epidermal Growth Factor (EGF)-stimulated Extracellular Signal-regulated Kinase (ERK) Activity Pulses 2015 ·Journal of Biological Chemistry ·(unknown), Michael Pargett, (unknown), (unknown), George R. R. Bell, John G. Albeck	72
14	Model-Based Analysis for Qualitative Data: An Application in Drosophila Germline Stem Cell Regulation 2014 ·PLoS Computational Biology ·Michael Pargett, Ann E. Rundell, Gregery T. Buzzard, David M. Umulis	18
15	Quantitative model analysis with diverse biological data: Applications in developmental pattern formation 2013 ·Methods ·Michael Pargett, David M. Umulis	18
16	Comparison of CPR outcome predictors between rhythmic abdominal compression and continuous chest compression CPR techniques 2013 ·Emergency Medicine Journal ·Ryan Kammeyer, Michael Pargett, Ann E. Rundell	6
17	BMP signaling in wing development: A critical perspective on quantitative image analysis 2012 ·FEBS Letters ·(unknown), Wei Dou, Xiaoying Yang, (unknown), Michael Pargett, Laurel A. Raftery, David M. Umulis	9
18	Brat Promotes Stem Cell Differentiation via Control of a Bistable Switch that Restricts BMP Signaling 2011 ·Developmental Cell ·Robin E. Harris, Michael Pargett, Catherine Sutcliffe, David M. Umulis, Hilary L. Ashe	127
19	Methods for Calculating Coronary Perfusion Pressure During CPR 2009 ·PubMed ·(unknown), L. A. Geddes, Michael Pargett, Charles F. Babbs	26
20	How Much Lung Ventilation is Obtained with Only Chest-compression CPR? 2008 ·PubMed ·L. A. Geddes, Ann E. Rundell, (unknown), Michael Pargett	13

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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