M.R.L. Scheeder

2.0k total citations
50 papers, 1.6k citations indexed

About

M.R.L. Scheeder is a scholar working on Animal Science and Zoology, Nutrition and Dietetics and Agronomy and Crop Science. According to data from OpenAlex, M.R.L. Scheeder has authored 50 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Animal Science and Zoology, 16 papers in Nutrition and Dietetics and 14 papers in Agronomy and Crop Science. Recurrent topics in M.R.L. Scheeder's work include Meat and Animal Product Quality (29 papers), Animal Nutrition and Physiology (19 papers) and Fatty Acid Research and Health (15 papers). M.R.L. Scheeder is often cited by papers focused on Meat and Animal Product Quality (29 papers), Animal Nutrition and Physiology (19 papers) and Fatty Acid Research and Health (15 papers). M.R.L. Scheeder collaborates with scholars based in Switzerland, Austria and Germany. M.R.L. Scheeder's co-authors include Michael Kreuzer, C. Wenk, Pierre-Alain Dufey, H.‐R. Wettstein, Florian Leiber, Nadine Gerber, C.R. Soliva, Ratchaneewan Khiaosa‐ard, F. Sutter and Jürg H. Beer and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

In The Last Decade

M.R.L. Scheeder

49 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M.R.L. Scheeder 951 617 466 328 196 50 1.6k
Catherine Hurtaud 469 0.5× 983 1.6× 453 1.0× 471 1.4× 383 2.0× 65 1.5k
Sara Minieri 498 0.5× 613 1.0× 453 1.0× 205 0.6× 183 0.9× 48 1.3k
Noelia Aldai 1.7k 1.8× 655 1.1× 812 1.7× 381 1.2× 304 1.6× 101 2.6k
Payam Vahmani 649 0.7× 390 0.6× 376 0.8× 155 0.5× 124 0.6× 69 1.2k
P. S. Mir 964 1.0× 1.2k 2.0× 656 1.4× 542 1.7× 152 0.8× 108 2.5k
Z. Mir 675 0.7× 1.3k 2.0× 527 1.1× 417 1.3× 123 0.6× 80 1.9k
Eleni Kasapidou 1.8k 1.9× 419 0.7× 470 1.0× 288 0.9× 391 2.0× 35 2.4k
Marius Collomb 479 0.5× 558 0.9× 718 1.5× 205 0.6× 242 1.2× 20 1.2k
D. I. Givens 367 0.4× 572 0.9× 712 1.5× 239 0.7× 183 0.9× 54 1.5k
P. Secchiari 451 0.5× 589 1.0× 503 1.1× 499 1.5× 130 0.7× 46 1.2k

Countries citing papers authored by M.R.L. Scheeder

Since Specialization
Citations

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

Fields of papers citing papers by M.R.L. Scheeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.R.L. Scheeder. 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.R.L. Scheeder. The network helps show where M.R.L. Scheeder may publish in the future.

Co-authorship network of co-authors of M.R.L. Scheeder

This figure shows the co-authorship network connecting the top 25 collaborators of M.R.L. Scheeder. A scholar is included among the top collaborators of M.R.L. Scheeder 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.R.L. Scheeder. M.R.L. Scheeder 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.
2.
Kaufmann, Daniel E., et al.. (2016). Déterminer la qualité de la graisse du porc pour l’estimation de la valeur d’élevage. Agrarforschung Schweiz. 7(4). 180–187. 2 indexed citations
3.
Scheeder, M.R.L., et al.. (2015). Prediction of pork quality at the slaughter line using a portable Raman device. Meat Science. 103. 96–103. 22 indexed citations
4.
Stephan, Roger, et al.. (2011). Visual and microbiological process analysis of pig slaughtering in a small-scale abattoir. Archiv für Lebensmittelhygiene. 62(2). 1 indexed citations
5.
Leiber, Florian, et al.. (2010). Two cases of grazing sheep with abundance of trans octadeca fatty acids in milk fat.. Milk science international/Milchwissenschaft. 65(1). 73–76. 5 indexed citations
6.
Hadorn, R., et al.. (2010). The effects of early post-mortem pH and ultimate pH on level and amount of destructured zones in cooked cured hams. Meat Science. 85(4). 632–639. 11 indexed citations
7.
Hadorn, R., Dominik Guggisberg, Paolo Silacci, et al.. (2009). Destructured zones in cooked cured hams: chemical and physical characterisation of destructured areas in cooked cured hams.. ˜Die œFleischwirtschaft. 89(1). 86–91. 3 indexed citations
8.
Khiaosa‐ard, Ratchaneewan, M.R.L. Scheeder, H.‐R. Wettstein, et al.. (2008). Evidence for the inhibition of the terminal step of ruminal α-linolenic acid biohydrogenation by condensed tannins. Journal of Dairy Science. 92(1). 177–188. 188 indexed citations
9.
Gerber, Nadine, M.R.L. Scheeder, & C. Wenk. (2008). The influence of cooking and fat trimming on the actual nutrient intake from meat. Meat Science. 81(1). 148–154. 159 indexed citations
10.
Kreuzer, Michael, et al.. (2006). Quality of retail beef from two grass-based production systems in comparison with conventional beef. Meat Science. 73(2). 351–361. 82 indexed citations
11.
Raber, Martin N., et al.. (2005). The content and composition of lipids in the digital cushion of the bovine claw with respect to age and location – A preliminary report. The Veterinary Journal. 172(1). 173–177. 50 indexed citations
12.
Fillies, Marion, M.R.L. Scheeder, M. Cristina Cardoso, et al.. (2005). CPT1α over-expression increases long-chain fatty acid oxidation and reduces cell viability with incremental palmitic acid concentration in 293T cells. Biochemical and Biophysical Research Communications. 338(2). 757–761. 21 indexed citations
13.
Kreuzer, Michael, M.R.L. Scheeder, B. Jeangros, et al.. (2004). Quality of beef from grass-based production systems compared with beef from intensive production systems.. 1151–1153. 3 indexed citations
14.
Scheeder, M.R.L., et al.. (2003). Meat quality of Angus, Simmental, Charolais and Limousin steers compared at the same intramuscular fat content. Meat Science. 63(4). 491–500. 212 indexed citations
15.
Wenk, C., et al.. (2002). Effect of Dietary Mono- and Polyunsaturated Fatty Acids on the Fatty Acid Composition of Pigs' Adipose Tissues. Archiv für Tierernaehrung. 56(1). 51–65. 19 indexed citations
16.
17.
Scheeder, M.R.L., et al.. (2001). Fatty acid composition, cooking loss and texture of beef patties from meat of bulls fed different fats. Meat Science. 58(3). 321–328. 65 indexed citations
18.
Marti, Sarah, M. Kreuzer, & M.R.L. Scheeder. (2000). Analysis of the effects on fibre quality of South American camelids by the rapid OFDA method based on video image analysis.. Züchtungskunde. 72(5). 389–400. 2 indexed citations
19.
Scheeder, M.R.L., et al.. (2000). Comparative evaluation of rumen‐protected fat, coconut oil and various oilseeds supplemented to fattening bulls. Archiv für Tierernaehrung. 53(1). 25–44. 18 indexed citations
20.
Sutter, F., et al.. (2000). Comparative evaluation of rumen‐protected fat, coconut oil and various oilseeds supplemented to fattening bulls. Archiv für Tierernaehrung. 53(1). 1–23. 35 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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