Mark T. Morgan

3.0k total citations · 1 hit paper
71 papers, 2.1k citations indexed

About

Mark T. Morgan is a scholar working on Biotechnology, Food Science and Biomedical Engineering. According to data from OpenAlex, Mark T. Morgan has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biotechnology, 17 papers in Food Science and 16 papers in Biomedical Engineering. Recurrent topics in Mark T. Morgan's work include Listeria monocytogenes in Food Safety (15 papers), Biosensors and Analytical Detection (13 papers) and Microbial Inactivation Methods (10 papers). Mark T. Morgan is often cited by papers focused on Listeria monocytogenes in Food Safety (15 papers), Biosensors and Analytical Detection (13 papers) and Microbial Inactivation Methods (10 papers). Mark T. Morgan collaborates with scholars based in United States, South Korea and Netherlands. Mark T. Morgan's co-authors include Viacheslav I. Adamchuk, J. W. Hummel, Shrini K. Upadhyaya, R.H. Linton, Valentina Trinetta, Arun K. Bhunia, Daniel R. Ess, Tao Geng, Martin R. Okos and J. C. Forrest and has published in prestigious journals such as Applied and Environmental Microbiology, Applied Microbiology and Biotechnology and Sensors.

In The Last Decade

Mark T. Morgan

69 papers receiving 1.9k citations

Hit Papers

On-the-go soil sensors for precision agriculture 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark T. Morgan United States 26 451 444 423 404 398 71 2.1k
Gopal Chandra Paul United Kingdom 26 158 0.4× 187 0.4× 210 0.5× 291 0.7× 563 1.4× 52 1.9k
S.J. Lister United Kingdom 18 451 1.0× 361 0.8× 697 1.6× 57 0.1× 950 2.4× 32 4.5k
M.S. Dhanoa United Kingdom 15 444 1.0× 361 0.8× 699 1.7× 54 0.1× 736 1.8× 32 4.2k
William R. Windham United States 35 516 1.1× 104 0.2× 885 2.1× 242 0.6× 900 2.3× 165 3.9k
Klein E. Ileleji United States 21 332 0.7× 105 0.2× 521 1.2× 143 0.4× 436 1.1× 80 1.8k
Romdhane Karoui France 41 1.6k 3.5× 176 0.4× 340 0.8× 216 0.5× 1.1k 2.7× 151 4.5k
Phil Williams Canada 19 891 2.0× 312 0.7× 1.1k 2.6× 93 0.2× 567 1.4× 48 4.1k
Dirk E. Maier United States 27 629 1.4× 61 0.1× 1.2k 2.7× 213 0.5× 235 0.6× 143 2.6k
Xuebin Xu China 34 1.4k 3.1× 92 0.2× 202 0.5× 360 0.9× 176 0.4× 230 3.7k

Countries citing papers authored by Mark T. Morgan

Since Specialization
Citations

This map shows the geographic impact of Mark T. Morgan'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 Mark T. Morgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Morgan more than expected).

Fields of papers citing papers by Mark T. Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Morgan. 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 Mark T. Morgan. The network helps show where Mark T. Morgan may publish in the future.

Co-authorship network of co-authors of Mark T. Morgan

This figure shows the co-authorship network connecting the top 25 collaborators of Mark T. Morgan. A scholar is included among the top collaborators of Mark T. Morgan 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 Mark T. Morgan. Mark T. Morgan 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.
Morgan, Mark T., et al.. (2025). Comprehensive evaluation of microwave reheating performance using predictive complementary relative phase shifting strategy in a solid-state system. Innovative Food Science & Emerging Technologies. 104. 104113–104113.
2.
Baumann, Aaron A., Ashley D. Wise, Benjamin M. Rosenthal, et al.. (2025). UV radiation at 222, 254, and 282 nm inhibits sporulation and suppresses infectivity of Eimeria acervulina oocysts. Microbiology Spectrum. 13(3). e0243924–e0243924.
3.
Baumann, Aaron A., Benjamin M. Rosenthal, Mark C. Jenkins, et al.. (2024). Aqueous Ozone Exposure Inhibits Sporulation in the Cyclospora cayetanensis Surrogate Eimeria acervulina. Journal of Food Protection. 87(5). 100260–100260. 4 indexed citations
4.
Yang, Ran, et al.. (2023). An integrated numerical and analytical model to understand the effect of relative phase in a dual-port solid-state microwave heating process. Journal of Food Engineering. 367. 111869–111869. 10 indexed citations
5.
Wu, Tao, et al.. (2022). Quality analysis of all‐purpose wheat flour pasteurized with radiofrequency‐assisted hot air heating. Journal of Food Process Engineering. 45(9). 3 indexed citations
6.
Yang, Ran, Mark T. Morgan, Aly E. Fathy, et al.. (2022). A Comprehensive Evaluation of Microwave Reheating Performance Using Dynamic Complementary-Frequency Shifting Strategy in a Solid-State System. Food and Bioprocess Technology. 16(5). 1061–1075. 15 indexed citations
7.
Yang, Ran, et al.. (2022). Development of online closed-loop frequency shifting strategies to improve heating performance of foods in a solid-state microwave system. Food Research International. 154. 110985–110985. 24 indexed citations
8.
Yang, Ran, et al.. (2021). Development of a complementary-frequency strategy to improve microwave heating of gellan gel in a solid-state system. Journal of Food Engineering. 314. 110763–110763. 32 indexed citations
9.
Morgan, Mark T., et al.. (2020). Heat sensitization of hepatitis A virus and Tulane virus using grape seed extract, gingerol and curcumin. Food Microbiology. 90. 103461–103461. 32 indexed citations
10.
Myer, Phillip R., et al.. (2016). The effect of a novel low temperature-short time (LTST) process to extend the shelf-life of fluid milk. SpringerPlus. 5(1). 660–660. 10 indexed citations
11.
Kaur, Simran, David J. Smith, & Mark T. Morgan. (2015). Chloroxyanion Residue Quantification in Cantaloupes Treated with Chlorine Dioxide Gas. Journal of Food Protection. 78(9). 1708–1718. 18 indexed citations
13.
Scheffler, T.L., J. M. Scheffler, Clyde Don, et al.. (2013). Moisture absorption early postmortem predicts ultimate drip loss in fresh pork. Meat Science. 96(2). 971–976. 12 indexed citations
15.
Kim, Gi‐Young, et al.. (2009). Rapid Detection of Salmonella enteritidis in Pork Samples with Impedimetric Biosensor: Effect of Electrode Spacing on Sensitivity. Food Science and Biotechnology. 18(1). 89–94. 5 indexed citations
16.
Kim, Gi‐Young, et al.. (2007). An Automated Fiber-optic Biosensor Based Binding Inhibition Assay for the Detection of Listeria Monocytogenes. Food Science and Biotechnology. 16(3). 337–342. 5 indexed citations
17.
Hayes, K.D., et al.. (2007). Comparison of Kinetic Profile of Free and Immobilized Glucose Oxidase, Immobilized on Low‐Density Polyethylene Using UV Polymerization. Journal of Food Science. 72(9). C478–82. 6 indexed citations
18.
Banerjee, Pratik, Mark T. Morgan, Jenna L. Rickus, et al.. (2006). Hybridoma Ped-2E9 cells cultured under modified conditions can sensitively detect Listeria monocytogenes and Bacillus cereus. Applied Microbiology and Biotechnology. 73(6). 1423–1434. 11 indexed citations
19.
Morgan, Mark T., et al.. (2000). Assessment of fresh pork color with color machine vision.. Journal of Animal Science. 78(12). 3078–3078. 25 indexed citations
20.
Forrest, J. C., et al.. (2000). Development of technology for the early post mortem prediction of water holding capacity and drip loss in fresh pork. Meat Science. 55(1). 115–122. 61 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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