R.G. Kroll

2.1k total citations
50 papers, 1.6k citations indexed

About

R.G. Kroll is a scholar working on Molecular Biology, Biomedical Engineering and Biotechnology. According to data from OpenAlex, R.G. Kroll has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Biomedical Engineering and 15 papers in Biotechnology. Recurrent topics in R.G. Kroll's work include Listeria monocytogenes in Food Safety (14 papers), Biosensors and Analytical Detection (10 papers) and Identification and Quantification in Food (9 papers). R.G. Kroll is often cited by papers focused on Listeria monocytogenes in Food Safety (14 papers), Biosensors and Analytical Detection (10 papers) and Identification and Quantification in Food (9 papers). R.G. Kroll collaborates with scholars based in United Kingdom, Greece and Spain. R.G. Kroll's co-authors include Ian R. Booth, R.A. Patchett, Ubaldina M. Rodrigues, Alison Kelly, Joy L. Brooks, Kathleen A. Grant, Martin Payne, Gerasimos Anagnostopoulos, Gordon S.A.B. Stewart and A. Gilmour and has published in prestigious journals such as Applied and Environmental Microbiology, Biochemical Journal and Journal of Bacteriology.

In The Last Decade

R.G. Kroll

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.G. Kroll United Kingdom 23 666 585 470 350 171 50 1.6k
Roy Betts United Kingdom 21 574 0.9× 917 1.6× 662 1.4× 298 0.9× 324 1.9× 34 1.9k
P. Schmitt France 23 797 1.2× 498 0.9× 281 0.6× 191 0.5× 43 0.3× 34 1.4k
Paul V. Attfield Australia 24 1.6k 2.3× 692 1.2× 261 0.6× 648 1.9× 121 0.7× 50 2.3k
Noel W. Dunn Australia 22 997 1.5× 695 1.2× 283 0.6× 277 0.8× 48 0.3× 74 1.7k
Allan Beck Christensen Denmark 14 1.3k 1.9× 496 0.8× 290 0.6× 299 0.9× 247 1.4× 15 1.9k
Dominique Garmyn France 25 1.0k 1.6× 905 1.5× 849 1.8× 148 0.4× 72 0.4× 48 1.9k
Thomas A. McMeekin Australia 13 300 0.5× 426 0.7× 471 1.0× 122 0.3× 153 0.9× 14 1.2k
W.M. Waites United Kingdom 28 1.2k 1.8× 744 1.3× 809 1.7× 179 0.5× 113 0.7× 92 2.5k
Z. John Ordal United States 26 960 1.4× 677 1.2× 683 1.5× 160 0.5× 107 0.6× 91 2.0k
Bassam A. Annous United States 26 717 1.1× 1.1k 1.8× 1.2k 2.6× 413 1.2× 188 1.1× 60 2.4k

Countries citing papers authored by R.G. Kroll

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Kroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.G. Kroll. 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 R.G. Kroll. The network helps show where R.G. Kroll may publish in the future.

Co-authorship network of co-authors of R.G. Kroll

This figure shows the co-authorship network connecting the top 25 collaborators of R.G. Kroll. A scholar is included among the top collaborators of R.G. Kroll 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 R.G. Kroll. R.G. Kroll 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.
Patchett, R.A., Natalie A. Watson, Pablo Salvador Fernández Escámez, & R.G. Kroll. (1996). The effect of temperature and growth rate on the susceptibility of Listeria monocytogenes to environmental stress conditions. Letters in Applied Microbiology. 22(2). 121–124. 31 indexed citations
2.
Kroll, R.G., et al.. (1995). Polymerase chain reaction amplification of the flaA gene for the rapid identification of Listeria spp.. Letters in Applied Microbiology. 20(1). 65–68. 20 indexed citations
3.
Fenlon, D.R., et al.. (1995). Rapid RAPD analysis for distinguishing Listeria species and Listeria monocytogenes serotypes using a capillary air thermal cycler. Letters in Applied Microbiology. 20(3). 188–190. 13 indexed citations
4.
Patchett, R.A., Alison Kelly, & R.G. Kroll. (1994). Transport of glycine-betaine by Listeria monocytogenes. Archives of Microbiology. 162(3). 205–210. 25 indexed citations
6.
Grant, Kathleen A., et al.. (1993). Use of the polymerase chain reaction and 16S rRNA sequences for the rapid detection of Brochothrix spp. in foods. Journal of Applied Bacteriology. 74(3). 260–267. 31 indexed citations
7.
Kroll, R.G., et al.. (1993). Microbiological analysis of foods.. 565–587. 9 indexed citations
8.
Kroll, R.G., A. Gilmour, & M. Sussman. (1993). New techniques in food and beverage microbiology.. Medical Entomology and Zoology. 25 indexed citations
9.
Brooks, Joy L., et al.. (1992). Direct application to dairy foods of a Listeria-specific oligonucleotide probe to 16S rRNA. International Journal of Food Microbiology. 16(4). 303–312. 8 indexed citations
10.
Kroll, R.G. & R.A. Patchett. (1992). Induced acid tolerance in Listeria monocytogenes. Letters in Applied Microbiology. 14(5). 224–227. 122 indexed citations
11.
Kroll, R.G., et al.. (1992). An investigation of dye reduction by food‐borne bacteria. Journal of Applied Bacteriology. 72(6). 479–485. 17 indexed citations
12.
Brooks, Joy L., et al.. (1992). Experimental enzyme‐linked amperometric immunosensors for the detection of salmonellas in foods. Journal of Applied Bacteriology. 73(3). 189–196. 48 indexed citations
13.
Payne, Martin, et al.. (1992). The use of immobilized lectins in the separation of Staphylococcus aureus, Escherichia coli, Listeria and Salmonella spp. from pure cultures and foods. Journal of Applied Bacteriology. 73(1). 41–52. 47 indexed citations
14.
Pettipher, G. L., et al.. (1992). Preliminary evaluation of COBRA, an automated DEFT instrument, for the rapid enumeration of micro-organisms in cultures, raw milk, meat and fish. Letters in Applied Microbiology. 14(5). 206–209. 13 indexed citations
15.
Brooks, Joy L., et al.. (1990). Development and performance of an enzyme‐linked amperometric immunosensor for the detection of Staphylococcus aureus in foods. Journal of Applied Bacteriology. 68(6). 577–585. 19 indexed citations
16.
Kroll, R.G., et al.. (1989). A laser‐light pulse counting method for automatic and sensitive counting of bacteria stained with acridine orange. Journal of Applied Bacteriology. 66(2). 161–167. 4 indexed citations
17.
Litopoulou‐Tzanetaki, E., et al.. (1989). Adsorption of bacteria to ion-exchange materials. Letters in Applied Microbiology. 9(6). 219–222. 3 indexed citations
18.
Patchett, R.A., Alison Kelly, & R.G. Kroll. (1989). Investigation of a simple amperometric electrode system to rapidly quantify and detect bacteria in foods. Journal of Applied Bacteriology. 66(1). 49–55. 12 indexed citations
19.
Rodrigues, Ubaldina M. & R.G. Kroll. (1988). Rapid selective enumeration of bacteria in foods using a microcolony epifluorescence microscopy technique. Journal of Applied Bacteriology. 64(1). 65–78. 50 indexed citations
20.
Rodrigues, Ubaldina M. & R.G. Kroll. (1986). Use of the direct epifluorescent filter technique for the enumeration of yeasts. Journal of Applied Bacteriology. 61(2). 139–144. 25 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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