Ben Cocks

742 total citations
10 papers, 548 citations indexed

About

Ben Cocks is a scholar working on Molecular Biology, Agronomy and Crop Science and Nutrition and Dietetics. According to data from OpenAlex, Ben Cocks has authored 10 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Agronomy and Crop Science and 5 papers in Nutrition and Dietetics. Recurrent topics in Ben Cocks's work include Ruminant Nutrition and Digestive Physiology (4 papers), Gut microbiota and health (3 papers) and Fatty Acid Research and Health (3 papers). Ben Cocks is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (4 papers), Gut microbiota and health (3 papers) and Fatty Acid Research and Health (3 papers). Ben Cocks collaborates with scholars based in Australia, United Kingdom and United States. Ben Cocks's co-authors include Zhiqian Liu, Simone Rochfort, Peter J. Moate, Ben J. Hayes, Elizabeth M. Ross, Leah C. Marett, C. Richard Bath, Vilnis Ezernieks, Kathryn M. Guthridge and Tim Sawbridge and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Ben Cocks

10 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ben Cocks Australia	10	238	174	170	104	82	10	548
H.Y. Wei China	13	182 0.8×	213 1.2×	334 2.0×	163 1.6×	134 1.6×	23	700
Marco Antônio Sundfeld da Gama Brazil	16	102 0.4×	315 1.8×	296 1.7×	132 1.3×	125 1.5×	68	746
Cinzia Ballabio Italy	21	197 0.8×	161 0.9×	35 0.2×	51 0.5×	60 0.7×	42	1.2k
Kara R Stewart United States	13	69 0.3×	86 0.5×	132 0.8×	93 0.9×	212 2.6×	69	547
Grzegorz Zwierzchowski Poland	13	98 0.4×	51 0.3×	143 0.8×	84 0.8×	106 1.3×	38	391
Umesh K. Shandilya Canada	14	176 0.7×	81 0.5×	86 0.5×	72 0.7×	125 1.5×	47	493
Suzanna M. Dunn Canada	13	185 0.8×	29 0.2×	585 3.4×	208 2.0×	165 2.0×	19	727
R.S. Kensinger United States	19	93 0.4×	82 0.5×	472 2.8×	337 3.2×	347 4.2×	35	957
Ruth Blauwiekel United States	14	102 0.4×	109 0.6×	400 2.4×	204 2.0×	173 2.1×	19	660
Marcello Abbondio Italy	13	496 2.1×	53 0.3×	46 0.3×	46 0.4×	19 0.2×	27	728

Countries citing papers authored by Ben Cocks

Since Specialization

Citations

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

Fields of papers citing papers by Ben Cocks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Cocks

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

All Works

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10 of 10 papers shown

Liu, Zhiqian, Simone Rochfort, & Ben Cocks. (2018). Milk lipidomics: What we know and what we don't. Progress in Lipid Research. 71. 70–85. 137 indexed citations

Liu, Zhiqian, Vilnis Ezernieks, Simone Rochfort, & Ben Cocks. (2018). Comparison of methylation methods for fatty acid analysis of milk fat. Food Chemistry. 261. 210–215. 36 indexed citations

Liu, Zhiqian, et al.. (2016). Identification and quantification of phosphatidylinositol in infant formulas by liquid chromatography–mass spectrometry. Food Chemistry. 205. 178–186. 11 indexed citations

Liu, Zhiqian, Peter J. Moate, Ben Cocks, & Simone Rochfort. (2014). Comprehensive polar lipid identification and quantification in milk by liquid chromatography–mass spectrometry. Journal of Chromatography B. 978-979. 95–102. 53 indexed citations

Liu, Zhiqian, Peter J. Moate, Ben Cocks, & Simone Rochfort. (2014). Simple Liquid Chromatography–Mass Spectrometry Method for Quantification of Major Free Oligosaccharides in Bovine Milk. Journal of Agricultural and Food Chemistry. 62(47). 11568–11574. 37 indexed citations

Ross, Elizabeth M., Peter J. Moate, Leah C. Marett, Ben Cocks, & Ben J. Hayes. (2013). Investigating the effect of two methane-mitigating diets on the rumen microbiome using massively parallel sequencing. Journal of Dairy Science. 96(9). 6030–6046. 51 indexed citations

Ross, Elizabeth M., Peter J. Moate, Leah C. Marett, Ben Cocks, & Ben J. Hayes. (2013). Metagenomic Predictions: From Microbiome to Complex Health and Environmental Phenotypes in Humans and Cattle. PLoS ONE. 8(9). e73056–e73056. 85 indexed citations

Bath, C. Richard, Mark Morrison, Elizabeth M. Ross, Ben J. Hayes, & Ben Cocks. (2013). The symbiotic rumen microbiome and cattle performance: a brief review. Animal Production Science. 53(9). 876–881. 15 indexed citations

Ross, Elizabeth M., Peter J. Moate, C. Richard Bath, et al.. (2012). High throughput whole rumen metagenome profiling using untargeted massively parallel sequencing. BMC Genetics. 13(1). 53–53. 64 indexed citations

10.

Plager, Douglas A., David A. Loegering, Deborah A. Weiler, et al.. (1999). A Novel and Highly Divergent Homolog of Human Eosinophil Granule Major Basic Protein. Journal of Biological Chemistry. 274(20). 14464–14473. 59 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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