Bee K. May

838 citations
24 papers · 716 · h-index 14

Impact in

    • Probiotics and Fermented Foods
    • Microencapsulation and Drying Processes
    • Food Drying and Modeling
    • Proteins in Food Systems
    • Food composition and properties
    • Microbial Metabolites in Food Biotechnology

Papers in

    • Probiotics and Fermented Foods 9
    • Microencapsulation and Drying Processes 6
    • Food Drying and Modeling 5
    • Proteins in Food Systems 4

Bee K. May

24 papers receiving 693 citations

Peers

Bee K. May
Comparison fields: 5 of 81
  • Food Science 572
  • Nutrition and Dietetics 159
  • Biotechnology 78
  • Animal Science and Zoology 44
  • Pharmacy 16
Replace Serge Méjean with:
Serge Méjean France
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V. An‐Erl King Taiwan
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Amir Ghandi Australia
R. Rajam India
Cristina Fernández Spain
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Divyasree Arepally India
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Bee K. May relative to Serge Méjean France Serge Méjean's profile →
Citations per field
00.5×1.5×
Serge Méjean · 1×
Citations per year

Countries citing papers authored by Bee K. May

Since Specialization
Citations

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

Fields of papers citing papers by Bee K. May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bee K. May. 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 Bee K. May. The network helps show where Bee K. May may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015105
2 200297
3 201564
4 202057
5 201453
6 201152
7 200148
8 201642
9 201039
10 201931
11 201822
12 201520
13 201116
14 200614
15 200310
16 19999
17 20189
18 20198
19 20187
20
A study of drying characteristics of foods using a thermogravimetric analyser
19974

About Bee K. May

Bee K. May is a scholar working on Food Science, Molecular Biology, Biotechnology, Nutrition and Dietetics and Plant Science, having authored 24 papers that have together received 716 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (9 papers), Microencapsulation and Drying Processes (6 papers), Food Drying and Modeling (5 papers), Proteins in Food Systems (4 papers), Infant Nutrition and Health (2 papers), Microbial Inactivation Methods (2 papers), Meat and Animal Product Quality (2 papers) and Microbial Metabolites in Food Biotechnology (2 papers). The work is most often cited by research in Food Science (572 citations), Nutrition and Dietetics (159 citations), Biotechnology (78 citations), Animal Science and Zoology (44 citations) and Pharmacy (16 citations). Bee K. May has collaborated with scholars based in Australia, France and China. Frequent co-authors include Darryl M. Small, Patrick Perré, Thi Thu Hao Van, Oliver A.H. Jones, Meng Wai Woo, Xiao Dong Chen, Vipul Bansal, Andrew Smith, Nicholas A. Williamson and Ben Vezina. Their work appears in journals such as Drying Technology, Food Chemistry, Journal of Food Engineering, Molecular Simulation and LWT.

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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