Peter L. Mage

507 total citations
8 papers, 359 citations indexed

About

Peter L. Mage is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter L. Mage has authored 8 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Biomedical Engineering and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Peter L. Mage's work include Advanced biosensing and bioanalysis techniques (3 papers), Single-cell and spatial transcriptomics (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Peter L. Mage is often cited by papers focused on Advanced biosensing and bioanalysis techniques (3 papers), Single-cell and spatial transcriptomics (2 papers) and Microfluidic and Bio-sensing Technologies (2 papers). Peter L. Mage collaborates with scholars based in United States, Switzerland and Germany. Peter L. Mage's co-authors include H. Tom Soh, Michael Eisenstein, Andrew T. Csordas, Kuangwen Hsieh, B. Scott Ferguson, Tod E. Kippin, Kyle L. Ploense, Aaron J. Tyznik, Daniel Klinger and Craig J. Hawker and has published in prestigious journals such as Nature Materials, Analytical Chemistry and Chemical Communications.

In The Last Decade

Peter L. Mage

8 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter L. Mage United States	7	229	226	39	38	21	8	359
Eric J. M. Blondeel Canada	13	204 0.9×	291 1.3×	44 1.1×	38 1.0×	21 1.0×	13	526
Joung‐Hwan Cho South Korea	7	327 1.4×	282 1.2×	64 1.6×	52 1.4×	40 1.9×	7	512
Annu Sindhu India	5	234 1.0×	195 0.9×	45 1.2×	22 0.6×	11 0.5×	7	322
Dongjuan Chen China	12	365 1.6×	425 1.9×	37 0.9×	37 1.0×	6 0.3×	28	642
Sarah A. Goodchild United Kingdom	13	98 0.4×	228 1.0×	93 2.4×	47 1.2×	17 0.8×	23	441
Yan Deng China	4	300 1.3×	218 1.0×	44 1.1×	114 3.0×	8 0.4×	8	444
Chew Chai United States	6	172 0.8×	151 0.7×	32 0.8×	31 0.8×	10 0.5×	10	378
Taylor Phillips United States	15	357 1.6×	564 2.5×	39 1.0×	84 2.2×	15 0.7×	24	671
Shah Mukim Uddin Australia	8	322 1.4×	181 0.8×	46 1.2×	48 1.3×	8 0.4×	11	382
Amy C. Richards United States	7	145 0.6×	97 0.4×	43 1.1×	78 2.1×	26 1.2×	8	337

Countries citing papers authored by Peter L. Mage

Since Specialization

Citations

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

Fields of papers citing papers by Peter L. Mage

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter L. Mage. 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 Peter L. Mage. The network helps show where Peter L. Mage may publish in the future.

Co-authorship network of co-authors of Peter L. Mage

This figure shows the co-authorship network connecting the top 25 collaborators of Peter L. Mage. A scholar is included among the top collaborators of Peter L. Mage 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 Peter L. Mage. Peter L. Mage 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

1.

Mage, Peter L., et al.. (2024). OMIP‐102: 50‐color phenotyping of the human immune system with in‐depth assessment of T cells and dendritic cells. Cytometry Part A. 105(6). 430–436. 27 indexed citations

2.

Ferrer‐Font, Laura, et al.. (2024). The consequence of mismatched buffers in purity checks when spectral cell sorting. Cytometry Part A. 105(12). 909–914. 1 indexed citations

3.

Feagin, Trevor, Peter L. Mage, Alexandra E. Rangel, et al.. (2023). Flow-Cell-Based Technology for Massively Parallel Characterization of Base-Modified DNA Aptamers. Analytical Chemistry. 95(5). 2645–2652. 17 indexed citations

4.

Chien, Jun‐Chau, Peter L. Mage, H. Tom Soh, & Amin Arbabian. (2019). An Aptamer-based Electrochemical-Sensing Implant for Continuous Therapeutic- Drug Monitoring in vivo. C312–C313. 14 indexed citations

5.

Mage, Peter L., Andrew T. Csordas, Tyler Brown, et al.. (2018). Shape-based separation of synthetic microparticles. Nature Materials. 18(1). 82–89. 37 indexed citations

6.

McGivney, James B., Andrew T. Csordas, Faye Walker, et al.. (2018). Strategy for Generating Sequence-Defined Aptamer Reagent Sets for Detecting Protein Contaminants in Biotherapeutics. Analytical Chemistry. 90(5). 3262–3269. 7 indexed citations

7.

Mage, Peter L., et al.. (2017). Closed-loop control of circulating drug levels in live animals. Nature Biomedical Engineering. 1(5). 92 indexed citations

8.

Hsieh, Kuangwen, Peter L. Mage, Andrew T. Csordas, Michael Eisenstein, & H. Tom Soh. (2014). Simultaneous elimination of carryover contamination and detection of DNA with uracil-DNA-glycosylase-supplemented loop-mediated isothermal amplification (UDG-LAMP). Chemical Communications. 50(28). 3747–3747. 164 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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