Daniel E. Kadouri

59 papers receiving 4.2k citations

Daniel E. Kadouri's Hit Papers

Growing and Analyzing Static Biofilms 2005 · 910 citations
9100+7+14Years since publication250500750

Peers

Daniel E. Kadouri
Comparison fields: 5 of 148
  • Endocrinology 923
  • Molecular Medicine 539
  • Periodontics 226
  • Microbiology 259
  • Pollution 381
Replace Gregory T. Robertson with:
Gregory T. Robertson United States
Maria Olívia Pereira Portugal
Heidi B. Kaplan United States
Mickaël Desvaux France
Claus Sternberg Denmark
Kyoung‐Hee Choi South Korea
Paolo Landini Italy
Mette Burmølle Denmark
Roger Simm Norway
W. Florian Fricke United States
Daniel E. Kadouri relative to Gregory T. Robertson United States Gregory T. Robertson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Kadouri

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Kadouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Kadouri. 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 Daniel E. Kadouri. The network helps show where Daniel E. Kadouri may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Growing and Analyzing Static Biofilms
Hit paper breakdown →
2005910
2 2001383
3 2005211
4 2011197
5 2010196
6 2005180
7 2003165
8 2013160
9 1985142
10 201696
11 200985
12 201184
13 201379
14 201075
15 200672
16 201670
17 201565
18 200264
19 201164
20 201759

About Daniel E. Kadouri

Daniel E. Kadouri is a scholar working on Endocrinology, Molecular Medicine, Molecular Biology, Ecology and Genetics, having authored 59 papers that have together received 4.3k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (24 papers), Bacterial biofilms and quorum sensing (22 papers), Antibiotic Resistance in Bacteria (12 papers), Bacteriophages and microbial interactions (8 papers), Microbial Community Ecology and Physiology (6 papers), Bacterial Genetics and Biotechnology (5 papers), biodegradable polymer synthesis and properties (5 papers) and Ocular Infections and Treatments (4 papers). The work is most often cited by research in Endocrinology (923 citations), Molecular Medicine (539 citations), Periodontics (226 citations), Microbiology (259 citations) and Pollution (381 citations). Daniel E. Kadouri has collaborated with scholars based in United States, Israel and Mexico. Frequent co-authors include George A. O’Toole, Judith H. Merritt, Yaacov Okon, Robert M. Q. Shanks, Édouard Jurkevitch, Shilpi Gupta, Susana Castro‐Sowinski, Matthew Libera, Radoslaw Junka and Yohei Doi. Their work appears in journals such as Applied and Environmental Microbiology, Scientific Reports, Research in Microbiology, PLoS ONE and Current Protocols in Microbiology.

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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