M. Vaisey‐Genser

32 total papers · 718 total citations
20 papers, 542 citations indexed

About

M. Vaisey‐Genser is a scholar working on Food Science, Organic Chemistry and Animal Science and Zoology. According to data from OpenAlex, M. Vaisey‐Genser has authored 20 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Food Science, 6 papers in Organic Chemistry and 6 papers in Animal Science and Zoology. Recurrent topics in M. Vaisey‐Genser's work include Meat and Animal Product Quality (6 papers), Edible Oils Quality and Analysis (6 papers) and Advanced Chemical Sensor Technologies (3 papers). M. Vaisey‐Genser is often cited by papers focused on Meat and Animal Product Quality (6 papers), Edible Oils Quality and Analysis (6 papers) and Advanced Chemical Sensor Technologies (3 papers). M. Vaisey‐Genser collaborates with scholars based in Canada and Netherlands. M. Vaisey‐Genser's co-authors include N.A.M. Eskin, Linda Malcolmson, G.L. Ylimaki, Roman Przybylski, Donna Ryland, Susan D. Arntfield, Brian T. Johnston, Bruce E. McDonald, A. S. Atwal and Sarah Johnson and has published in prestigious journals such as Food Research International, Journal of Food Science and Journal of the American Oil Chemists Society.

In The Last Decade

M. Vaisey‐Genser

20 papers receiving 494 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. Vaisey‐Genser 241 213 158 139 116 20 542
Masni Mat Yusoff 114 0.5× 269 1.3× 87 0.6× 105 0.8× 62 0.5× 30 523
Clément Fritsch 302 1.3× 192 0.9× 109 0.7× 83 0.6× 101 0.9× 12 583
Frank T. Orthoefer 102 0.4× 196 0.9× 135 0.9× 115 0.8× 78 0.7× 22 509
Sanghwa Yoon 202 0.8× 160 0.8× 84 0.5× 99 0.7× 64 0.6× 17 589
Gabriel D. Fernandes 116 0.5× 226 1.1× 122 0.8× 73 0.5× 57 0.5× 24 520
R. J. Peterson 203 0.8× 205 1.0× 118 0.7× 54 0.4× 231 2.0× 16 584
Harry E. Snyder 98 0.4× 170 0.8× 80 0.5× 99 0.7× 102 0.9× 20 470
Gudrun Laskawy 97 0.4× 236 1.1× 128 0.8× 133 1.0× 57 0.5× 18 568
Yini Yang 104 0.4× 228 1.1× 94 0.6× 120 0.9× 65 0.6× 28 509
Heidrun Unterweger 135 0.6× 237 1.1× 153 1.0× 123 0.9× 42 0.4× 10 566

Countries citing papers authored by M. Vaisey‐Genser

Since Specialization
Citations

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

Fields of papers citing papers by M. Vaisey‐Genser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Vaisey‐Genser. 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. Vaisey‐Genser. The network helps show where M. Vaisey‐Genser may publish in the future.

Co-authorship network of co-authors of M. Vaisey‐Genser

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

All Works

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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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