Maroun M. Sfeir

1.9k citations
39 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Antibiotic Resistance in Bacteria (15 papers)Antibiotic Use and Resistance (5 papers)Bacterial Identification and Susceptibility Testing (5 papers)

In The Last Decade

Maroun M. Sfeir

34 papers receiving 1.4k citations

Hit Papers

Ultrasensitive and visual detection of SARS-CoV-2 using a...20202026202220242020200400600

Peers

Maroun M. Sfeir
Comparison fields: 5 of 100
  • Molecular Biology 805
  • Infectious Diseases 466
  • Biomedical Engineering 458
  • Molecular Medicine 211
  • Epidemiology 190
Replace Christoph Schoen with:
Christoph Schoen Germany
Deborah Horst-Kreft Netherlands
Gemma L. Kay United Kingdom
Grégory Resch Switzerland
Biswajit Biswas United States
Rebecca Yee United States
Ryoichi Saito Japan
Natacha Couto Netherlands
Meritxell García‐Quintanilla Spain
Hélène Guet‐Revillet France
Maroun M. Sfeir relative to Christoph Schoen Germany Christoph Schoen's profile →
Citations per field
00.5×5.1×
Christoph Schoen · 1×
Citations per year

Countries citing papers authored by Maroun M. Sfeir

Since Specialization
Citations

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

Fields of papers citing papers by Maroun M. Sfeir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maroun M. Sfeir. 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 Maroun M. Sfeir. The network helps show where Maroun M. Sfeir may publish in the future.

Co-authorship network of co-authors of Maroun M. Sfeir

This figure shows the co-authorship network connecting the top 25 collaborators of Maroun M. Sfeir. A scholar is included among the top collaborators of Maroun M. Sfeir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maroun M. Sfeir. Maroun M. Sfeir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 0
5 1
6 0
7 5
8 29
9 72
10 108
11
Ultrasensitive and visual detection of SARS-CoV-2 using all-in-one dual CRISPR-Cas12a assaybreakdown →
672
12 4
13 29
14 19
15 69
16 43
17 32
18 4
19 28
20 9

About Maroun M. Sfeir

Maroun M. Sfeir is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Antibiotic Use and Resistance (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Molecular Medicine (211 citations), Applied Microbiology and Biotechnology (83 citations) and Infectious Diseases (466 citations). Maroun M. Sfeir has collaborated with scholars based in United States, Lebanon and France. Frequent co-authors include Changchun Liu, Ziyue Li, Kun Yin, Xiong Ding, Enrique Ballesteros, Rajesh V. Lalla, Michael J. Satlin, Gülce Askin, Paul J. Christos and Stephen G. Jenkins. Their work appears in journals such as New England Journal of Medicine, JAMA and Nature Communications.

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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