Ikramy A. Khalil

3.9k citations
37 papers · 3.3k indexed · 1 hit paper · h-index 27
Topics
RNA Interference and Gene Delivery (31 papers)Advanced biosensing and bioanalysis techniques (22 papers)Virus-based gene therapy research (16 papers)
Partner nations
JapanEgyptUnited Kingdom

In The Last Decade

Ikramy A. Khalil

37 papers receiving 3.2k citations

Hit Papers

Uptake Pathways and Subsequent Intracellular Trafficking ...200620262012201920062505007501000

Peers

Ikramy A. Khalil
Comparison fields: 5 of 112
  • Molecular Biology 2.7k
  • Genetics 705
  • Biomaterials 646
  • Biomedical Engineering 437
  • Immunology 326
Replace Kevin G. Rice with:
Kevin G. Rice United States
Stephany Y. Tzeng United States
Jean-Serge Rémy France
Yuriko Higuchi Japan
Ishan Capila United States
Tatyana Levchenko United States
Steven M. Ansell United States
Shaohui Cui China
Kevin Kauffman United States
Carsten Rudolph Germany
Ikramy A. Khalil relative to Kevin G. Rice United States Kevin G. Rice's profile →
Citations per field
00.5×3.6×
Kevin G. Rice · 1×
Citations per year

Countries citing papers authored by Ikramy A. Khalil

Since Specialization
Citations

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

Fields of papers citing papers by Ikramy A. Khalil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikramy A. Khalil

This figure shows the co-authorship network connecting the top 25 collaborators of Ikramy A. Khalil. A scholar is included among the top collaborators of Ikramy A. 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 Ikramy A. Khalil. Ikramy A. 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 3
2 90
3 42
4 36
5 36
6 26
7 45
8 18
9 51
10 20
11 118
12 166
13 90
14 153
15 56
16
Uptake Pathways and Subsequent Intracellular Trafficking in Nonviral Gene Deliverybreakdown →
1035
17 334
18 25
19 145
20 143

About Ikramy A. Khalil

Ikramy A. Khalil is a scholar working on Genetics, Molecular Biology and Hepatology, having authored 37 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (31 papers), Advanced biosensing and bioanalysis techniques (22 papers) and Virus-based gene therapy research (16 papers). The work is most often cited by research in Biomaterials (646 citations), Molecular Biology (2.7k citations) and Genetics (705 citations). Ikramy A. Khalil has collaborated with scholars based in Japan, Egypt and United Kingdom. Frequent co-authors include Hideyoshi Harashima, Kentaro Kogure, Hidetaka Akita, Shiroh Futaki, Seigo Kimura, Mahmoud A. Younis, Yaser Hosny Ali Elewa, Ayman El‐Sayed, Yusuke Sato and Rie Ito. Their work appears in journals such as Journal of Biological Chemistry, Biomaterials and Advanced Functional Materials.

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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