Jack Davis

3.1k citations
35 papers · 2.6k · h-index 19

Impact in

  • Food Science top 0.5%
    • Proteins in Food Systems
    • Microencapsulation and Drying Processes
    • Polysaccharides Composition and Applications
    • Meat and Animal Product Quality

Papers in

    • Proteins in Food Systems 11
    • Microencapsulation and Drying Processes 7
    • Peanut Plant Research Studies 9
    • Agricultural pest management studies 3

Jack Davis

33 papers receiving 2.5k citations

Peers

Jack Davis
Comparison fields: 5 of 116
  • Food Science 1.4k
  • Animal Science and Zoology 269
  • Electrochemistry 138
  • Nutrition and Dietetics 265
  • Materials Chemistry 816
Replace Yujuan Xu with:
Yujuan Xu China
Xiaodong Cao China
Yinji Chen China
Shotaro Yamaguchi Japan
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Guorong Wang China
K.V. Ragavan India
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Tiantian Wu China
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Citations per field
00.5×4.8×
Yujuan Xu · 1×
Citations per year

Countries citing papers authored by Jack Davis

Since Specialization
Citations

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

Fields of papers citing papers by Jack Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011384
2 2002362
3 2008344
4 2005328
5 1972207
6 2006116
7 2004113
8 200594
9 200485
10 201181
11 197180
12 200279
13 201462
14 200844
15 201233
16 200928
17 201324
18 200719
19 200718
20 201413

About Jack Davis

Jack Davis is a scholar working on Food Science, Plant Science, Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 35 papers that have together received 2.6k indexed citations. Recurring topics across this work include Proteins in Food Systems (11 papers), Peanut Plant Research Studies (9 papers), Microencapsulation and Drying Processes (7 papers), Pickering emulsions and particle stabilization (7 papers), Coconut Research and Applications (5 papers), Advanced Chemical Sensor Technologies (4 papers), Biodiesel Production and Applications (3 papers) and Agricultural pest management studies (3 papers). The work is most often cited by research in Food Science (1.4k citations), Animal Science and Zoology (269 citations), Electrochemistry (138 citations), Nutrition and Dietetics (265 citations) and Materials Chemistry (816 citations). Jack Davis has collaborated with scholars based in United States, Norway and Argentina. Frequent co-authors include E. Allen Foegeding, P.J. Luck, Dany Doucet, Allen J. Bard, Timothy H. Sanders, J.F. McGinnis, Sudipta Seal, William T. Self, R. Aggarwal and Ajay Karakoti. Their work appears in journals such as Journal of the American Oil Chemists Society, Journal of The Electrochemical Society, Food Hydrocolloids, Colloids and Surfaces B Biointerfaces and Journal of Food Science.

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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