Daniel E. Kadouri

59 papers receiving 4.1k citations

Daniel E. Kadouri's Hit Papers

Growing and Analyzing Static Biofilms 2005 · 903 citations
9030+7+14Years since publication250500750

Peers

Daniel E. Kadouri
Comparison fields: 5 of 147
  • Endocrinology 915
  • Molecular Medicine 535
  • Periodontics 227
  • Microbiology 257
  • Pollution 379
Replace Alex Toftgaard Nielsen with:
Alex Toftgaard Nielsen Denmark
Gregory T. Robertson United States
Heidi B. Kaplan United States
Mickaël Desvaux France
Paolo Landini Italy
Claus Sternberg Denmark
Kyoung‐Hee Choi South Korea
R. Elizabeth Sockett United Kingdom
Carla Pruzzo Italy
Daniel E. Kadouri relative to Alex Toftgaard Nielsen Denmark Alex Toftgaard Nielsen's profile →
Citations per field
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Alex Toftgaard Nielsen · 1×
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 →
2005903
2 2001380
3 2005213
4 2010192
5 2011192
6 2005177
7 2003164
8 2013155
9 1985142
10 201691
11 201184
12 200983
13 201379
14 201074
15 200672
16 201665
17 201563
18 200263
19 201163
20 201757

About Daniel E. Kadouri

Daniel E. Kadouri is a scholar working on Molecular Biology, Endocrinology, Ecology, Molecular Medicine and Genetics, having authored 59 papers that have together received 4.2k 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), biodegradable polymer synthesis and properties (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Biofuel production and bioconversion (4 papers). The work is most often cited by research in Endocrinology (915 citations), Molecular Medicine (535 citations), Periodontics (227 citations), Microbiology (257 citations) and Pollution (379 citations). Daniel E. Kadouri has collaborated with scholars based in United States, Israel and Belgium. Frequent co-authors include George A. O’Toole, Judith H. Merritt, Yaacov Okon, Édouard Jurkevitch, Robert M. Q. Shanks, 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 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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