M. Vaisey‐Genser

718 citations
20 papers · 543 indexed · h-index 12
Topics
Edible Oils Quality and Analysis (6 papers)Meat and Animal Product Quality (6 papers)Advanced Chemical Sensor Technologies (3 papers)
Partner nations
CanadaNetherlands

In The Last Decade

M. Vaisey‐Genser

20 papers receiving 496 citations

Peers

M. Vaisey‐Genser
Comparison fields: 5 of 73
  • Organic Chemistry 241
  • Food Science 213
  • Nutrition and Dietetics 158
  • Plant Science 139
  • Animal Science and Zoology 116
Replace S. Paul with:
S. Paul Canada
Gabriel D. Fernandes Brazil
Maria Teresa Bilancia Italy
L. deMan Canada
J. M. Olías Spain
J. D. Selman United Kingdom
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M. Vaisey‐Genser relative to S. Paul Canada S. Paul's profile →
Citations per field
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S. Paul · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 55
2
Availability and labeling of flaxseed food products and supplements.
6
3 21
4 22
5
Baking with canola oil products.
8
6 35
7 13
8
The selection of levels of canola oil, water, and an emulsifier system in cake formulations by response-surface methodology.
26
9 1
10 10
11 1
12 27
13 211
14 1
15 52
16
The effects of phytate on nitrogen utilization and zinc metabolism in young rats.
20
17 11
18
Note on the estimation of choline in plant protein sources.
6
19 3
20 14

About M. Vaisey‐Genser

M. Vaisey‐Genser is a scholar working on Animal Science and Zoology, Food Science and Nutrition and Dietetics, having authored 20 papers that have together received 543 indexed citations. Recurring topics across this work include Edible Oils Quality and Analysis (6 papers), Meat and Animal Product Quality (6 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Food Science (213 citations), Animal Science and Zoology (116 citations) and Nutrition and Dietetics (158 citations). M. Vaisey‐Genser has collaborated with scholars based in Canada and Netherlands. Frequent 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, Sarah Johnson and A. S. Atwal. Their work appears in journals such as Food Research International, Journal of Food Science and Journal of the American Oil Chemists Society.

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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