Thomas L. Fare

1.9k total citations
30 papers, 1.5k citations indexed

About

Thomas L. Fare is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Thomas L. Fare has authored 30 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Electrical and Electronic Engineering and 9 papers in Bioengineering. Recurrent topics in Thomas L. Fare's work include Analytical Chemistry and Sensors (9 papers), Electrochemical Analysis and Applications (6 papers) and Molecular Biology Techniques and Applications (5 papers). Thomas L. Fare is often cited by papers focused on Analytical Chemistry and Sensors (9 papers), Electrochemical Analysis and Applications (6 papers) and Molecular Biology Techniques and Applications (5 papers). Thomas L. Fare collaborates with scholars based in United States, Sweden and Germany. Thomas L. Fare's co-authors include David A. Stenger, Jacque H. Georger, Charles S. Dulcey, Jeffrey M. Calvert, Victor Krauthamer, Jason M. Johnson, Lee P. Lim, Nagaraja Muniappa, Joseph F. Sina and Kateřina Vlasáková and has published in prestigious journals such as Science, Applied Physics Letters and Analytical Chemistry.

In The Last Decade

Thomas L. Fare

29 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas L. Fare United States 15 775 462 377 289 151 30 1.5k
Takao Ono Japan 26 918 1.2× 218 0.5× 285 0.8× 369 1.3× 195 1.3× 97 1.8k
Chia‐Hsien Hsu Taiwan 24 792 1.0× 278 0.6× 256 0.7× 980 3.4× 47 0.3× 74 1.8k
Mònica Mir Spain 20 1.1k 1.4× 213 0.5× 407 1.1× 826 2.9× 48 0.3× 59 1.9k
R Eckert Switzerland 14 896 1.2× 245 0.5× 175 0.5× 315 1.1× 127 0.8× 52 1.7k
Zhongping Chen China 26 924 1.2× 463 1.0× 107 0.3× 689 2.4× 59 0.4× 93 2.0k
Stéphanie Descroix France 29 739 1.0× 174 0.4× 487 1.3× 2.1k 7.1× 37 0.2× 132 3.0k
Mon‐Juan Lee Taiwan 23 616 0.8× 107 0.2× 191 0.5× 285 1.0× 99 0.7× 66 1.4k
François Huber Switzerland 15 433 0.6× 50 0.1× 356 0.9× 380 1.3× 534 3.5× 27 1.5k
David Pastré France 28 1.6k 2.1× 48 0.1× 217 0.6× 266 0.9× 307 2.0× 74 2.3k

Countries citing papers authored by Thomas L. Fare

Since Specialization
Citations

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

Fields of papers citing papers by Thomas L. Fare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas L. Fare

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

All Works

20 of 20 papers shown
1.
Welch, Christopher J., et al.. (2010). Virtual conferences becoming a reality. Nature Chemistry. 2(3). 148–152. 18 indexed citations
2.
Duenwald, Sven, Mingjie Zhou, Yanqun Wang, et al.. (2009). Development of a microarray platform for FFPET profiling: application to the classification of human tumors. Journal of Translational Medicine. 7(1). 65–65. 14 indexed citations
3.
Malkov, Vladislav A., Kyle Serikawa, James Watters, et al.. (2009). Multiplexed measurements of gene signatures in different analytes using the Nanostring nCounter™ Assay System. BMC Research Notes. 2(1). 80–80. 120 indexed citations
4.
Laterza, Omar, Lee P. Lim, Philip W. Garrett-Engele, et al.. (2009). Plasma MicroRNAs as Sensitive and Specific Biomarkers of Tissue Injury. Clinical Chemistry. 55(11). 1977–1983. 495 indexed citations
5.
Wright, C. David, Donald A. Bergstrom, Hongyue Dai, et al.. (2007). Characterization of Globin RNA Interference in Gene Expression Profiling of Whole-Blood Samples. Clinical Chemistry. 54(2). 396–405. 34 indexed citations
6.
Bey, Paul P., et al.. (2005). Autonulling MOS bridge for sensor applications. 1595–1596. 1 indexed citations
7.
Parrish, Mark L, Nan Wei, Sven Duenwald, et al.. (2003). A microarray platform comparison for neuroscience applications. Journal of Neuroscience Methods. 132(1). 57–68. 13 indexed citations
8.
Fare, Thomas L., Ernest M. Coffey, Hongyue Dai, et al.. (2003). Effects of Atmospheric Ozone on Microarray Data Quality. Analytical Chemistry. 75(17). 4672–4675. 166 indexed citations
9.
Levine, Michael, et al.. (2003). A physiologic-based circuit model of excitation and inhibition in the postsynaptic neuron. 268–269. 1 indexed citations
10.
11.
Bey, Paul P., et al.. (2000). A DC autonulling bridge for real-time resistance measurement. IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications. 47(3). 273–278. 23 indexed citations
12.
Fare, Thomas L., et al.. (1998). Functional characterization of a conducting polymer-based immunoassay system. Biosensors and Bioelectronics. 13(3-4). 459–470. 9 indexed citations
13.
Fare, Thomas L., et al.. (1996). Cross-Reactivity Analysis Using a Four-Parameter Model Applied to Environmental Immunoassays. Bulletin of Environmental Contamination and Toxicology. 57(3). 367–374. 4 indexed citations
14.
Quong, Judy N., et al.. (1993). Measurement of acetylcholine receptor function in microcircuit-coupled myoblasts. IEEE Transactions on Biomedical Engineering. 40(11). 1122–1126. 2 indexed citations
15.
Fare, Thomas L., et al.. (1992). Immobilization of flavoproteins on silicon: effect of cross-linker chain length on enzyme activity. Biosensors and Bioelectronics. 7(5). 367–373. 16 indexed citations
16.
Levine, Michael, et al.. (1992). A physiologic-based circuit model of the postsynaptic region at the neuromuscular junction. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 1602–1603. 4 indexed citations
17.
Georger, Jacque H., David A. Stenger, Alan S. Rudolph, et al.. (1992). Coplanar patterns of self-assembled monolayers for selective cell adhesion and outgrowth. Thin Solid Films. 210-211. 716–719. 23 indexed citations
18.
Fare, Thomas L., et al.. (1992). Langmuir-Blodgett studies and atomic force microscope images of nicotinic acetylcholine receptor films. Langmuir. 8(12). 3116–3121. 14 indexed citations
19.
Fare, Thomas L., et al.. (1991). Langmuir-Blodgett deposited valinomycin-phospholipid films on platinum: an a.c. impedance response to potassium. Sensors and Actuators B Chemical. 3(1). 51–62. 12 indexed citations
20.
Stenger, David A., David H. Cribbs, & Thomas L. Fare. (1991). Modulation of a gated ion channel admittance in lipid bilayer membranes. Biosensors and Bioelectronics. 6(5). 425–430. 6 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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