David C. Bean

34 papers receiving 798 citations

Peers

David C. Bean
Comparison fields: 5 of 88
  • Molecular Medicine 366
  • Applied Microbiology and Biotechnology 74
  • Endocrinology 130
  • Clinical Biochemistry 77
  • Pollution 122
Replace Usha Govinden with:
Usha Govinden South Africa
Floriana Gona Italy
Kira Kondratyeva Israel
Mohammad Reza Nahaei Iran
Mai M. Zafer Egypt
João Botelho Portugal
Alaric W. D’Souza United States
María Camila Montealegre United States
Mohamed Abd El-Gawad El-Sayed Ahmed Egypt
Marija Tonkić Croatia
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Citations per year

Countries citing papers authored by David C. Bean

Since Specialization
Citations

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

Fields of papers citing papers by David C. Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Bean. 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 David C. Bean. The network helps show where David C. Bean may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008136
2 2008102
3 200596
4 202194
5 200874
6 200654
7 201743
8 200640
9 201630
10 201617
11 200515
12 200215
13 202314
14 200612
15 200812
16 202210
17 202010
18 20199
19 20208
20 20177

About David C. Bean

David C. Bean is a scholar working on Molecular Medicine, Food Science, Infectious Diseases, Molecular Biology and Epidemiology, having authored 34 papers that have together received 846 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Salmonella and Campylobacter epidemiology (4 papers), Probiotics and Fermented Foods (4 papers), Pneumonia and Respiratory Infections (3 papers), Microbial infections and disease research (3 papers), Escherichia coli research studies (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Molecular Medicine (366 citations), Applied Microbiology and Biotechnology (74 citations), Endocrinology (130 citations), Clinical Biochemistry (77 citations) and Pollution (122 citations). David C. Bean has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include D. Krahé, Lucinda M. C. Hall, David M. Livermore, David W. Wareham, Lara Wakeling, Stephen R. Giddens, M. Millar, Enid Hennessy, John D. Klena and Lynette Phee. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology, Annals of Clinical Microbiology and Antimicrobials, Zoonoses and Public Health and International Journal of Infectious Diseases.

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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