Matthew J. Whitfield

554 total citations
16 papers, 456 citations indexed

About

Matthew J. Whitfield is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Matthew J. Whitfield has authored 16 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Biomedical Engineering. Recurrent topics in Matthew J. Whitfield's work include Cellular Mechanics and Interactions (5 papers), Biochemical and Structural Characterization (3 papers) and Force Microscopy Techniques and Applications (2 papers). Matthew J. Whitfield is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Biochemical and Structural Characterization (3 papers) and Force Microscopy Techniques and Applications (2 papers). Matthew J. Whitfield collaborates with scholars based in United States, United Kingdom and Singapore. Matthew J. Whitfield's co-authors include Krystyn J. Van Vliet, Terrence G. Oas, Gary P. Drobny, Cynthia J. Hartzell, Adam S. Zeiger, Ann M. Dvořàk, Roberta Martinelli, John Greenwood, Christopher V. Carman and Wendy E. Thomas and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Journal of Cell Science.

In The Last Decade

Matthew J. Whitfield

16 papers receiving 446 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 J. Whitfield United States 8 156 136 112 87 87 16 456
Merete K. Raarup Denmark 13 321 2.1× 54 0.4× 18 0.2× 65 0.7× 58 0.7× 23 724
Kay‐Eberhard Gottschalk Germany 15 409 2.6× 31 0.2× 106 0.9× 189 2.2× 134 1.5× 37 790
T. Fischer Germany 15 139 0.9× 14 0.1× 71 0.6× 356 4.1× 258 3.0× 35 708
Andrew H. Chung United States 8 67 0.4× 14 0.1× 54 0.5× 71 0.8× 525 6.0× 8 729
M. A. Fardin France 16 148 0.9× 10 0.1× 320 2.9× 263 3.0× 181 2.1× 19 997
Christof Thalhammer Germany 10 193 1.2× 51 0.4× 28 0.3× 120 1.4× 104 1.2× 11 642
Perry Liu United States 13 131 0.8× 12 0.1× 74 0.7× 34 0.4× 145 1.7× 29 822
Shencheng Ge United States 14 184 1.2× 14 0.1× 36 0.3× 62 0.7× 247 2.8× 21 593
José A. Rivera United States 12 201 1.3× 18 0.1× 111 1.0× 56 0.6× 229 2.6× 22 790

Countries citing papers authored by Matthew J. Whitfield

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Whitfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Whitfield

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

All Works

16 of 16 papers shown
1.
Manak, Michael S., et al.. (2020). Application of Artificial Intelligence/Machine Vision & Learning for the Development of a Live Single-cell Phenotypic Biomarker Test to Predict Prostate Cancer Tumor Aggressiveness.. PubMed. 22(4). 159–167. 1 indexed citations
2.
Mijailovic, Aleksandar S., Anna Jagielska, Matthew J. Whitfield, et al.. (2018). Probing Mechanical Properties of Brain in a Tuberous Sclerosis Model of Autism. Journal of Biomechanical Engineering. 141(3). 5 indexed citations
3.
Mijailovic, Aleksandar S., Anna Jagielska, Matthew J. Whitfield, et al.. (2016). Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry. Journal of Visualized Experiments. 30 indexed citations
4.
Mijailovic, Aleksandar S., et al.. (2016). Characterizing Multiscale Mechanical Properties of Brain Tissue Using Atomic Force Microscopy, Impact Indentation, and Rheometry. Journal of Visualized Experiments. 13 indexed citations
5.
Albala, David, Vladimir Mouraviev, Kimberly Rieger‐Christ, et al.. (2016). A live cell microfluidics device utilizing phenotypic biomarkers for prostate cancer.. Journal of Clinical Oncology. 34(2_suppl). 338–338. 1 indexed citations
6.
Albala, David, Vladimir Mouraviev, Kimberly Rieger‐Christ, et al.. (2016). MP07-17 CLINICAL VALIDATION OF A LIVE-CELL PHENOTYPIC BIOMARKER - BASED DIAGNOSTIC ASSAY FOR THE PREDICTION OF ADVERSE PATHOLOGY IN PROSTATE CANCER. The Journal of Urology. 195(4S). 1 indexed citations
7.
Martinelli, Roberta, Adam S. Zeiger, Matthew J. Whitfield, et al.. (2014). Probing the biomechanical contribution of the endothelium to lymphocyte migration: diapedesis by the path of least resistance. Journal of Cell Science. 127(Pt 17). 3720–34. 100 indexed citations
8.
Whitfield, Matthew J., David Bono, Lei Wei, & Krystyn J. Van Vliet. (2014). High-throughput corrosion quantification in varied microenvironments. Corrosion Science. 88. 481–486. 15 indexed citations
9.
Whitfield, Matthew J., et al.. (2013). Beating the bugs: roles of microbial biofilms in corrosion. Corrosion Reviews. 31(3-6). 73–84. 53 indexed citations
10.
Whitfield, Matthew J., et al.. (2013). Onset of heterogeneity in culture-expanded bone marrow stromal cells. Stem Cell Research. 11(3). 1365–1377. 5 indexed citations
11.
Whitfield, Matthew J., et al.. (2012). Directional cell migration in an extracellular pH gradient: A model study with an engineered cell line and primary microvascular endothelial cells. Experimental Cell Research. 319(4). 487–497. 36 indexed citations
12.
Thomas, Wendy E., et al.. (2011). Mechanical Regulation of Von Willebrand Factor A1 Domain. Biophysical Journal. 100(3). 480a–481a. 1 indexed citations
13.
Whitfield, Matthew J. & Wendy E. Thomas. (2011). A Nanoadhesive Composed of Receptor-Ligand Bonds. The Journal of Adhesion. 87(5). 427–446. 4 indexed citations
14.
Whitfield, Matthew J., et al.. (2010). Shear-Stabilized Rolling Behavior of E. coli Examined with Simulations. Biophysical Journal. 99(8). 2470–2478. 25 indexed citations
15.
Hartzell, Cynthia J., Matthew J. Whitfield, Terrence G. Oas, & Gary P. Drobny. (1988). ChemInform Abstract: Determination of the 15N and 13C Chemical Shift Tensors of L‐(13C)Alanyl‐L‐(15N)alanine from the Dipole‐Coupled Powder Patterns.. ChemInform. 19(3). 4 indexed citations
16.
Hartzell, Cynthia J., Matthew J. Whitfield, Terrence G. Oas, & Gary P. Drobny. (1987). Determination of the nitrogen-15 and carbon-13 chemical shift tensors of L-[13C]alanyl-L-[15N]alanine from the dipole-coupled powder patterns. Journal of the American Chemical Society. 109(20). 5966–5969. 162 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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