Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Invited Review: Perspectives on the Basis of the Rheology and Texture Properties of Cheese
2003534 citationsJ.A. Lucey, M.E. Johnson et al.Journal of Dairy Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of M.E. Johnson'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 M.E. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.E. Johnson more than expected).
This network shows the impact of papers produced by M.E. Johnson. 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 M.E. Johnson. The network helps show where M.E. Johnson may publish in the future.
Co-authorship network of co-authors of M.E. Johnson
This figure shows the co-authorship network connecting the top 25 collaborators of M.E. Johnson.
A scholar is included among the top collaborators of M.E. Johnson 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 M.E. Johnson. M.E. Johnson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Watson, Charles C. & M.E. Johnson. (2014). Design, Implementation and Operation of a Modular Integrated Tropical Cyclone Hazard Model.1 indexed citations
Govindasamy-Lucey, S., et al.. (2011). Impact of grating size on the texture and melting properties of reformed non-fat cheese.. Milk science international/Milchwissenschaft. 66(2). 169–172.1 indexed citations
Govindasamy-Lucey, S., et al.. (2010). Impact of camel chymosin on the texture and sensory properties of low-fat cheddar cheese. Australian Journal of Dairy Technology. 65(3). 139–142.18 indexed citations
Johnson, M.E., J. L. Steele, Jeffery R. Broadbent, & Bart C. Weimer. (1998). Manufacture of gouda and flavour development in reduced-fat cheddar cheese. Australian Journal of Dairy Technology. 53(2). 67–69.10 indexed citations
14.
Broadbent, Jeffery R., Charlotte Brennand, M.E. Johnson, et al.. (1997). Startercontribution to reduced fat Cheddar. Digital Commons - USU (Utah State University). 62(2). 35–39.8 indexed citations
Johnson, M.E. & Elmer H. Marth. (1989). Characteristics of Cheddar cheese made with mutant strains of lactic streptococci as adjunct sources of enzymes. Milk science international/Milchwissenschaft. 44(6). 343–346.27 indexed citations
18.
Johnson, M.E., et al.. (1987). Accelerated ripening of Gouda cheese 1. Effect of Heat-shocked thermophilic lactobacilli and streptococci on proteolysis and flavour development. Milk science international/Milchwissenschaft. 42(2). 83–88.76 indexed citations
19.
Johnson, M.E., et al.. (1987). Accelerated ripening of Gouda cheese. 2. Effect of freeze-shocked Lactobacillus helveticus on proteolysis and flavor development.. Milk science international/Milchwissenschaft. 42(3). 139–144.90 indexed citations
20.
Johnson, M.E., et al.. (1969). ANALYSIS OF PROPAGATION MEASUREMENTS OVER IRREGULAR TERRAIN IN THE 76-TO 9200-MHz RANGE.. Defense Technical Information Center (DTIC).2 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.