Ahmad S. Khalil

8.7k citations
67 papers · 5.6k indexed · 3 hit papers · h-index 33
Topics
CRISPR and Genetic Engineering (19 papers)Gene Regulatory Network Analysis (17 papers)Viral Infectious Diseases and Gene Expression in Insects (6 papers)

In The Last Decade

Ahmad S. Khalil

63 papers receiving 5.5k citations

Hit Papers

Synthetic biology: applications come of age2010202620152020201020142015250500750

Peers

Ahmad S. Khalil
Comparison fields: 5 of 166
  • Molecular Biology 3.9k
  • Genetics 983
  • Biomedical Engineering 864
  • Molecular Medicine 582
  • Ecology 346
Replace Lingchong You with:
Lingchong You United States
Matteo Dal Peraro Switzerland
Balázs Papp Hungary
Mikhail M. Savitski Germany
Pei Zhou United States
Tristan I. Croll United Kingdom
Matthias Heinemann Netherlands
Sergey Ovchinnikov United States
Gerardo Tauriello Switzerland
Stephen W. Turner United States
Ahmad S. Khalil relative to Lingchong You United States Lingchong You's profile →
Citations per field
00.5×1.5×
Lingchong You · 1×
Citations per year

Countries citing papers authored by Ahmad S. Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Ahmad S. Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ahmad S. Khalil. 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 Ahmad S. Khalil. The network helps show where Ahmad S. Khalil may publish in the future.

Co-authorship network of co-authors of Ahmad S. Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Ahmad S. Khalil. A scholar is included among the top collaborators of Ahmad S. Khalil 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 Ahmad S. Khalil. Ahmad S. Khalil 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 2
2 12
3 38
4 1
5 13
6 21
7 90
8 15
9 69
10 11
11 24
12 29
13 40
14 3
15 8
16 153
17
Antibiotic efficacy is linked to bacterial cellular respirationbreakdown →
539
18
Antibiotics induce redox-related physiological alterations as part of their lethalitybreakdown →
695
19 335
20
Molecular studies and antibiotic resistance of E. coli isolated from different hosts.
1

About Ahmad S. Khalil

Ahmad S. Khalil is a scholar working on Aging, Molecular Medicine and Molecular Biology, having authored 67 papers that have together received 5.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (19 papers), Gene Regulatory Network Analysis (17 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). The work is most often cited by research in Molecular Medicine (582 citations), Molecular Biology (3.9k citations) and Endocrinology (222 citations). Ahmad S. Khalil has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include James J. Collins, Timothy K. Lu, Kyle R. Allison, Caleb J. Bashor, Jason H. Yang, Michael A. Lobritz, Peter Belenky, Daniel J. Dwyer, Szilvia Kiriakov and Nic M. Vega. Their work appears in journals such as Nature, Science and Cell.

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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