Christopher J. Doona

1.1k citations
37 papers · 799 · h-index 17

Impact in

Papers in

    • Microbial Inactivation Methods 12
    • Listeria monocytogenes in Food Safety 4
    • Bacillus and Francisella bacterial research 8

Christopher J. Doona

37 papers receiving 760 citations

Peers

Christopher J. Doona
Comparison fields: 5 of 99
  • Biotechnology 270
  • Food Science 151
  • Electrochemistry 40
  • Physiology 23
  • Ecology 88
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Citations per year

Countries citing papers authored by Christopher J. Doona

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Doona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Doona. 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 Christopher J. Doona. The network helps show where Christopher J. Doona may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 199668
3 201352
4 201643
5 201239
6 202038
7 201034
8 200633
9 200332
10 201630
11 199328
12 199324
13
Case Studies in Novel Food Processing Technologies : Innovations in Processing, Packaging, and Predictive Modelling
201023
14 201522
15 201721
16 201821
17 199119
18 201216
19 199316
20 199314

About Christopher J. Doona

Christopher J. Doona is a scholar working on Biotechnology, Molecular Biology, Computer Networks and Communications, Building and Construction and Organic Chemistry, having authored 37 papers that have together received 799 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (12 papers), Bacillus and Francisella bacterial research (8 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Dyeing and Modifying Textile Fibers (5 papers), Electrochemical Analysis and Applications (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Listeria monocytogenes in Food Safety (4 papers) and Photopolymerization techniques and applications (3 papers). The work is most often cited by research in Biotechnology (270 citations), Food Science (151 citations), Electrochemistry (40 citations), Physiology (23 citations) and Ecology (88 citations). Christopher J. Doona has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Florence E. Feeherry, Peter Setlow, Kenneth Kustin, David M. Stanbury, Yong-qing Li, F. W. Schneider, Barbara Setlow, X. Philip Ye, Roger Ruan and Lingbo Kong. Their work appears in journals such as The Journal of Physical Chemistry, Applied and Environmental Microbiology, International Journal of Chemical Kinetics, Journal of the American Chemical Society and Polymers.

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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