Daniel Wechsler

1.6k total citations
40 papers, 1.1k citations indexed

About

Daniel Wechsler is a scholar working on Food Science, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Daniel Wechsler has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Food Science, 21 papers in Molecular Biology and 11 papers in Animal Science and Zoology. Recurrent topics in Daniel Wechsler's work include Probiotics and Fermented Foods (25 papers), Protein Hydrolysis and Bioactive Peptides (11 papers) and Meat and Animal Product Quality (9 papers). Daniel Wechsler is often cited by papers focused on Probiotics and Fermented Foods (25 papers), Protein Hydrolysis and Bioactive Peptides (11 papers) and Meat and Animal Product Quality (9 papers). Daniel Wechsler collaborates with scholars based in Switzerland, Austria and United Kingdom. Daniel Wechsler's co-authors include R. Sieber, Ueli Bütikofer, Marie‐Therese Fröhlich‐Wyder, Stefan Irmler, Marius Collomb, Alexandra Schmid, Hélène Berthoud, Barbara Walther, Eeva‐Liisa Ryhänen and Dominik Guggisberg and has published in prestigious journals such as The American Naturalist, Food Chemistry and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Daniel Wechsler

39 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wechsler Switzerland 18 615 560 323 224 119 40 1.1k
D.L. Van Hekken United States 24 383 0.6× 985 1.8× 334 1.0× 267 1.2× 93 0.8× 60 1.3k
Rosario Gómez Spain 22 764 1.2× 1.1k 2.1× 360 1.1× 416 1.9× 79 0.7× 35 1.7k
Caroline N. Almada Brazil 14 512 0.8× 762 1.4× 186 0.6× 365 1.6× 54 0.5× 15 1.1k
Safinaz El‐Shibiny Egypt 13 438 0.7× 663 1.2× 161 0.5× 210 0.9× 103 0.9× 46 979
T. Uniacke‐Lowe Ireland 11 352 0.6× 740 1.3× 212 0.7× 306 1.4× 223 1.9× 18 1.2k
Fergal P. Rattray Denmark 19 654 1.1× 655 1.2× 151 0.5× 144 0.6× 33 0.3× 33 962
F. W. Bodyfelt United States 17 403 0.7× 1.1k 1.9× 406 1.3× 398 1.8× 79 0.7× 35 1.4k
Didier Viala France 17 304 0.5× 256 0.5× 207 0.6× 128 0.6× 114 1.0× 41 878
Christophe Monnet France 24 977 1.6× 927 1.7× 161 0.5× 198 0.9× 54 0.5× 50 1.5k
Timothy P. Guinee Ireland 22 510 0.8× 1.3k 2.3× 495 1.5× 317 1.4× 147 1.2× 29 1.5k

Countries citing papers authored by Daniel Wechsler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wechsler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wechsler

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wechsler. A scholar is included among the top collaborators of Daniel Wechsler 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 Daniel Wechsler. Daniel Wechsler 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.
Meola, Marco, et al.. (2022). High-throughput qPCR and 16S rRNA gene amplicon sequencing as complementary methods for the investigation of the cheese microbiota. BMC Microbiology. 22(1). 48–48. 32 indexed citations
2.
Berthoud, Hélène, Daniel Wechsler, & Stefan Irmler. (2022). Production of Putrescine and Cadaverine by Paucilactobacillus wasatchensis. Frontiers in Microbiology. 13. 842403–842403. 14 indexed citations
3.
Berthoud, Hélène, et al.. (2021). Development of a High-Throughput Microfluidic qPCR System for the Quantitative Determination of Quality-Relevant Bacteria in Cheese. Frontiers in Microbiology. 11. 619166–619166. 12 indexed citations
4.
Berthoud, Hélène, et al.. (2020). SpeciesPrimer: a bioinformatics pipeline dedicated to the design of qPCR primers for the quantification of bacterial species. PeerJ. 8. e8544–e8544. 17 indexed citations
5.
Wechsler, Daniel, Stefan Irmler, Hélène Berthoud, et al.. (2020). Influence of the inoculum level of Lactobacillus parabuchneri in vat milk and of the cheese-making conditions on histamine formation during ripening. International Dairy Journal. 113. 104883–104883. 13 indexed citations
6.
Wechsler, Daniel & Jordi Bascompte. (2018). Thresholds in the resilience of modular social networks to invasion by defectors. Journal of Theoretical Biology. 460. 56–63. 4 indexed citations
7.
Wüthrich, Daniel, et al.. (2017). The Histidine Decarboxylase Gene Cluster of Lactobacillus parabuchneri Was Gained by Horizontal Gene Transfer and Is Mobile within the Species. Frontiers in Microbiology. 8. 218–218. 34 indexed citations
8.
9.
Schaeren, W., et al.. (2016). Fast detection and quantification of four dairy propionic acid bacteria in milk samples using real-time quantitative polymerase chain reaction. International Dairy Journal. 61. 37–43. 14 indexed citations
10.
Girard, Marion, et al.. (2015). Ability of 3 tanniferous forage legumes to modify quality of milk and Gruyère-type cheese. Journal of Dairy Science. 99(1). 205–220. 30 indexed citations
11.
Fröhlich‐Wyder, Marie‐Therese, Walter Bisig, Dominik Guggisberg, et al.. (2015). Influence of low pH on the metabolic activity of Lactobacillus buchneri and Lactobacillus parabuchneri strains in Tilsit-type model cheese. Dairy Science and Technology. 95(5). 569–585. 23 indexed citations
12.
Bisig, Walter, Marie‐Therese Fröhlich‐Wyder, Ernst Jakob, & Daniel Wechsler. (2010). Comparison between emmentaler PDo and generic emmental cheese production in europe. Australian Journal of Dairy Technology. 65(3). 206–213. 13 indexed citations
13.
Meyer, J, Ueli Bütikofer, Barbara Walther, Daniel Wechsler, & R. Sieber. (2009). Hot topic: Changes in angiotensin-converting enzyme inhibition and concentrations of the tripeptides Val-Pro-Pro and Ile-Pro-Pro during ripening of different Swiss cheese varieties. Journal of Dairy Science. 92(3). 826–836. 53 indexed citations
14.
Sieber, R., Ueli Bütikofer, Lotti Egger, et al.. (2009). ACE-inhibitory activity and ACE-inhibiting peptides in different cheese varieties. Dairy Science and Technology. 90(1). 47–73. 75 indexed citations
15.
Schmid, Alexandra, Marius Collomb, G. Bee, et al.. (2008). Effect of dietary alpine butter rich in conjugated linoleic acid on milk fat composition of lactating sows. British Journal Of Nutrition. 100(1). 54–60. 4 indexed citations
16.
Guggisberg, Dominik, et al.. (2007). Calcium in raclette cheese: importance of pH value and complexing. 1 indexed citations
17.
Bütikofer, Ueli, J Meyer, R. Sieber, Barbara Walther, & Daniel Wechsler. (2007). Occurrence of the Angiotensin-Converting Enzyme–Inhibiting Tripeptides Val-Pro-Pro and Ile-Pro-Pro in Different Cheese Varieties of Swiss Origin. Journal of Dairy Science. 91(1). 29–38. 58 indexed citations
18.
Casey, Michael G., et al.. (2006). Characterisation of the non-starter lactic acid bacteria (NSLAB) of Gruyère PDO cheese. Le Lait. 86(6). 407–414. 24 indexed citations
19.
Beer, Michael, et al.. (1991). Stability of polydextrose solutions to heat treatment and storage under acid conditions. LWT. 24(3). 245–251. 5 indexed citations
20.
Wechsler, Daniel, et al.. (1981). Earthquake catalog for Northern New Mexico. 1 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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