Stephanie M. Fowler

745 citations

44 papers · 597 indexed · h-index 17

Animal Science and Zoology top 1%
- Meat and Animal Product Quality 34
- Animal Nutrition and Physiology 4
Analytical Chemistry top 1%
- Spectroscopy and Chemometric Analyses 24
Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research 13
Agronomy and Crop Science top 10%
Insect Science top 10%
- Bee Products Chemical Analysis 4
Molecular Biology
- Identification and Quantification in Food 5
Genetics
- Genetic and phenotypic traits in livestock 4
Ecology
- Agriculture Sustainability and Environmental Impact 4

Co-authors: David Hopkins Stephen Morris Heinar Schmidt Benjamin W.B. Holman Remy van de Ven Peter Wynn Leigh M. Schmidtke Shawn McGrath
Cited by: Animal Science and Zoology Analytical Chemistry Biophysics
Journals: Meat Science (25 papers)The Analyst (1 paper)Food Control (1 paper)
Partner nations: Australia Germany China

In The Last Decade

Stephanie M. Fowler

41 papers receiving 590 citations

Peers

Countries citing papers authored by Stephanie M. Fowler

Since Specialization

Citations

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

Fields of papers citing papers by Stephanie M. Fowler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie M. Fowler. 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 Stephanie M. Fowler. The network helps show where Stephanie M. Fowler may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Stephanie M. Fowler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephanie M. Fowler Line = papers co-authored together Stephanie M. Fowler links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Classification and Identification of Foodborne Bacteria in Beef by Utilising Surface-Enhanced Raman Spectroscopy Coupled with Chemometric Methods Foods ·Huixin Zuo,Yingying Sun,Mingming Huang,Stephanie M. Fowler,Jing Liu,Yimin Zhang,Yanwei Mao	2024	2
2	Continued development of a tool to measure intramuscular fat of Australian lamb carcases in commercial situations Meat Science ·Stephanie M. Fowler,Stephen Morris,S. I. Mortimer,David Hopkins	2024	2
3	Variation in fatty acid composition of subcutaneous fat from beef carcases commercially produced in Australia Proceedings of The Nutrition Society ·Stephanie M. Fowler,S. Morris,B.G. Logan,D. Hopkins	2023	1
4	Internal endpoint temperature (level of cooking doneness) effects on the fatty acid and mineral profiles of grilled lamb m. longissimus lumborum Meat Science ·Benjamin W.B. Holman,Stephanie M. Fowler,Kristy L. Bailes,Richard G. Meyer,David Hopkins,Edward Clayton	2023	6
5	Preliminary investigation into the prediction of indicators of beef spoilage using Raman and Fourier transform infrared spectroscopy Meat Science ·Qingsen Liu,Pengcheng Dong,Lemonia-Christina Fengou,George‐John E. Nychas,Stephanie M. Fowler,Yanwei Mao,Xin Luo,Yimin Zhang	2023	32
6	Assessing chemometric models developed using Raman spectroscopy and fatty acid data for Northern and Southern Australian beef production systems Meat Science ·Bridgette G. Logan,David Hopkins,Leigh M. Schmidtke,Stephanie M. Fowler	2022	9
7	Classification of Southern Australian Grass- and Grain-Fed Beef Food Analytical Methods ·Bridgette G. Logan,David Hopkins,Leigh M. Schmidtke,Stephen Morris,Stephanie M. Fowler	2021	5
8	Partial least squares and machine learning for the prediction of intramuscular fat content of lamb loin Meat Science ·Stephanie M. Fowler,David A. Wheeler,Stephen Morris,S. I. Mortimer,David Hopkins	2021	23
9	Intramuscular fat prediction of the semimembranosus muscle in hot lamb carcases using NIR Meat Science ·Tharcilla I. R. C. Alvarenga,David Hopkins,Stephen Morris,P. McGilchrist,Stephanie M. Fowler	2020	11
10	Preliminary investigation for the prediction of intramuscular fat content of lamb in-situ using a hand- held NIR spectroscopic device Meat Science ·Stephanie M. Fowler,Stephen Morris,David Hopkins	2020	25
11	Preliminary investigation into the use of Raman spectroscopy for the verification of Australian grass and grain fed beef Meat Science ·Bridgette G. Logan,David Hopkins,Leigh M. Schmidtke,Stephen Morris,Stephanie M. Fowler	2019	21
12	Nutritional composition of lamb retail cuts from the carcases of extensively finished lambs Meat Science ·Stephanie M. Fowler,Stephen Morris,David Hopkins	2019	33
13	Preliminary investigation of the use of Raman spectroscopy to predict meat and eating quality traits of beef loins Meat Science ·Stephanie M. Fowler,Heinar Schmidt,Remy van de Ven,David Hopkins	2018	30
14	Development of value-added lamb cuts for the modern consumer Proceedings of the New Zealand Society of Animal Production ·Stephanie M. Fowler,D.W. Pethick,D. L. Hopkins	2017	1
15	A GR/Impedance probe proves unsuitable for measuring GR depth in Australian lamb carcases Meat Science ·Stephanie M. Fowler,Jordan M. Hoban,Remy van de Ven,Mal Boyce,Andrew Williams,D.W. Pethick,David Hopkins	2017	2
16	The effect of lamb carcase weight and GR depth on the production of value-added cuts – A short communication Meat Science ·Stephanie M. Fowler,Jordan M. Hoban,Remy van de Ven,G.E. Gardner,D.W. Pethick,David Hopkins	2017	6
17	Are shear force methods adequately reported? Meat Science ·Benjamin W.B. Holman,Stephanie M. Fowler,David Hopkins	2016	24
18	Prediction of intramuscular fat content and major fatty acid groups of lamb M. longissimus lumborum using Raman spectroscopy Meat Science ·Stephanie M. Fowler,Eric N. Ponnampalam,Heinar Schmidt,Peter Wynn,David Hopkins	2015	44
19	Predicting meat quality traits of ovine m. semimembranosus, both fresh and following freezing and thawing, using a hand held Raman spectroscopic device Meat Science ·Stephanie M. Fowler,Heinar Schmidt,Remy van de Ven,Peter Wynn,David Hopkins	2015	26
20	Raman spectroscopy compared against traditional predictors of shear force in lamb m. longissimus lumborum Meat Science ·Stephanie M. Fowler,Heinar Schmidt,Remy van de Ven,Peter Wynn,David Hopkins	2014	25

About Stephanie M. Fowler

Stephanie M. Fowler is a scholar working on Animal Science and Zoology, Analytical Chemistry and Biophysics, having authored 44 papers that have together received 597 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (34 papers), Spectroscopy and Chemometric Analyses (24 papers), Spectroscopy Techniques in Biomedical and Chemical Research (13 papers), Identification and Quantification in Food (5 papers), Genetic and phenotypic traits in livestock (4 papers), Animal Nutrition and Physiology (4 papers), Agriculture Sustainability and Environmental Impact (4 papers) and Bee Products Chemical Analysis (4 papers). The work is most often cited by research in Animal Science and Zoology (412 citations), Analytical Chemistry (281 citations) and Biophysics (112 citations). Stephanie M. Fowler has collaborated with scholars based in Australia, Germany and China. Frequent co-authors include David Hopkins, Stephen Morris, Heinar Schmidt, Benjamin W.B. Holman, Remy van de Ven, Peter Wynn, Leigh M. Schmidtke, Shawn McGrath, Eric N. Ponnampalam and R.J. van de Ven. Their work appears in journals such as Meat Science, The Analyst and Food Control.

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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