Matthew Piccini

555 total citations
11 papers, 197 citations indexed

About

Matthew Piccini is a scholar working on Physiology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Matthew Piccini has authored 11 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Matthew Piccini's work include Spaceflight effects on biology (4 papers), Space Exploration and Technology (2 papers) and Biosensors and Analytical Detection (2 papers). Matthew Piccini is often cited by papers focused on Spaceflight effects on biology (4 papers), Space Exploration and Technology (2 papers) and Biosensors and Analytical Detection (2 papers). Matthew Piccini collaborates with scholars based in United States. Matthew Piccini's co-authors include Anup K. Singh, Chung‐Yan Koh, Bruce C. Towe, Meiye Wu, Kit S. Lam, Luisa W. Cheng, Easwaran Ravichandran, Greg J. Sommer, Larry H. Stanker and Ulrich Y. Schaff and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Biosensors and Bioelectronics.

In The Last Decade

Matthew Piccini

10 papers receiving 192 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Piccini United States	8	105	54	27	24	19	11	197
Rachael Gregson United Kingdom	7	82 0.8×	49 0.9×	21 0.8×	71 3.0×	32 1.7×	14	242
Yuan Zhong China	6	38 0.4×	67 1.2×	24 0.9×	68 2.8×	18 0.9×	9	197
Jesse Q. Zhang United States	4	247 2.4×	77 1.4×	5 0.2×	72 3.0×	2 0.1×	7	369
S. Jeong South Korea	5	26 0.2×	60 1.1×	5 0.2×	39 1.6×	9 0.5×	10	244
Agnese Codutti Germany	8	145 1.4×	89 1.6×	27 1.0×	8 0.3×	2 0.1×	15	288
Qingjie Cui China	10	35 0.3×	60 1.1×	7 0.3×	178 7.4×	29 1.5×	22	362
Sadie E. Munter United States	4	60 0.6×	48 0.9×	5 0.2×	28 1.2×	11 0.6×	8	244
Xiaoyang Qiao China	6	96 0.9×	21 0.4×	3 0.1×	10 0.4×	12 0.6×	14	162
J.-Y. Park South Korea	8	45 0.4×	24 0.4×	6 0.2×	43 1.8×	2 0.1×	9	286
Arnaud Muller France	9	69 0.7×	40 0.7×	42 1.6×	9 0.4×	3 0.2×	15	239

Countries citing papers authored by Matthew Piccini

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Piccini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Piccini

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

All Works

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11 of 11 papers shown

1.

Padgen, Michael R., et al.. (2020). The EcAMSat fluidic system to study antibiotic resistance in low earth orbit: Development and lessons learned from space flight. Acta Astronautica. 173. 449–459. 22 indexed citations

2.

Piccini, Matthew, et al.. (2016). Rapid, Portable, Multiplexed Detection of Bacterial Pathogens Directly from Clinical Sample Matrices. Biosensors. 6(4). 49–49. 15 indexed citations

3.

Wu, Meiye, Matthew Piccini, & Anup K. Singh. (2014). miRNA Detection at Single-Cell Resolution Using Microfluidic LNA Flow-FISH. Methods in molecular biology. 1211. 245–260. 7 indexed citations

4.

Koh, Chung‐Yan, Ulrich Y. Schaff, Matthew Piccini, et al.. (2014). Centrifugal Microfluidic Platform for Ultrasensitive Detection of Botulinum Toxin. Analytical Chemistry. 87(2). 922–928. 55 indexed citations

5.

Abhyankar, Vinay V., et al.. (2013). Rapid detection of trace bacteria in biofluids using porous monoliths in microchannels. Biosensors and Bioelectronics. 54. 435–441. 16 indexed citations

6.

Wu, Meiye, Matthew Piccini, Chung‐Yan Koh, Kit S. Lam, & Anup K. Singh. (2013). Single Cell MicroRNA Analysis Using Microfluidic Flow Cytometry. PLoS ONE. 8(1). e55044–e55044. 38 indexed citations

7.

Straume, T., David J. Loftus, Jing Li, et al.. (2013). Biomarker-Detection Technologies for Comprehensive Medical Diagnosis During Deep-Space Missions. 3(1). 13–23. 9 indexed citations

8.

Tan, Ming X., Matthew Piccini, & Antonio J. Ricco. (2011). INTEGRATED FLUIDIC SYSTEM FOR GROWTH AND FLUORESCENCE IMAGING OF MULTICELLULAR ORGANISMS IN NANOSATELLITE APPLICATIONS.

9.

Ricco, Antonio J., Macarena Parra, David W. Niesel, et al.. (2010). PHARMASAT: DRUG DOSE DEPENDENCE RESULTS FROM AN AUTONOMOUS MICROSYSTEM-BASED SMALL SATELLITE IN LOW EARTH ORBIT. 110–113. 8 indexed citations

10.

Piccini, Matthew & Bruce C. Towe. (2006). A shape memory alloy microvalve with flow sensing. Sensors and Actuators A Physical. 128(2). 344–349. 26 indexed citations

11.

Towe, Bruce C., et al.. (2004). A microfluidic bioreporter system for space flight monitoring. 43. 2991–2994. 1 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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