Peter Roupas

40 papers receiving 1.2k citations

Peers

Peter Roupas
Comparison fields: 5 of 143
  • Food Science 393
  • Endocrinology, Diabetes and Metabolism 292
  • Pharmacology 246
  • Nutrition and Dietetics 165
  • Animal Science and Zoology 107
Replace Chang‐Kee Hyun with:
Chang‐Kee Hyun South Korea
Meng‐Tsan Chiang Taiwan
Alessandro Colletti Italy
Ying Zhu China
Lianliang Liu China
Wenbing Yao China
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Guoyong Yu China
Gorla V. Reddy India
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Citations per year

Countries citing papers authored by Peter Roupas

Since Specialization
Citations

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

Fields of papers citing papers by Peter Roupas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Roupas, 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 Peter Roupas Line = papers co-authored together Peter Roupas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006237
2 2012207
3 201495
4 198980
5 200350
6 198845
7 198743
8 200443
9 198638
10 200337
11
Innovative food processing technologies : advances in multiphysics simulation
201137
12 201031
13 200826
14 199422
15 199122
16 200721
17
Effect of incorporation of denatured whey proteins on chemical composition and functionality of pizza cheese
200120
18 198620
19 201519
20 200419

About Peter Roupas

Peter Roupas is a scholar working on Endocrinology, Diabetes and Metabolism, Food Science, Molecular Biology, Physiology and Public Health, Environmental and Occupational Health, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Probiotics and Fermented Foods (9 papers), Proteins in Food Systems (7 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (5 papers), Nutritional Studies and Diet (4 papers), Fungal Biology and Applications (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Food Science (393 citations), Endocrinology, Diabetes and Metabolism (292 citations), Pharmacology (246 citations), Nutrition and Dietetics (165 citations) and Animal Science and Zoology (107 citations). Peter Roupas has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Adrian C. Herington, André Brodkorb, Geoffrey W. Smithers, Dereck E. W. Chatterton, Manny Noakes, Pennie Taylor, Jennifer Keogh, David W. Everett, Michelle K. Rowney and M. W. Hickey. Their work appears in journals such as International Dairy Journal, Australian Journal of Dairy Technology, Molecular and Cellular Endocrinology, Journal of Functional Foods and Journal of Dairy Science.

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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