Amin A. Aqel

659 citations
26 papers · 461 indexed · h-index 10

Amin A. Aqel

24 papers receiving 444 citations

Peers

Amin A. Aqel
Comparison fields: 5 of 85
  • Modeling and Simulation 85
  • Applied Microbiology and Biotechnology 25
  • Molecular Medicine 56
  • Clinical Biochemistry 72
  • Infectious Diseases 153
Replace Hamed Alzoubi with:
Hamed Alzoubi Jordan
Vivek Kak United States
Oliver Kacelnik Norway
Carlos L. Correa-Martínez Germany
Lou Ann Bruno‐Murtha United States
Romain Martischang Switzerland
Naïma Hammami Belgium
Rania M. El-Lababidi United States
Emmanuel Lecorché France
Giorgio Graziano Italy
Amin A. Aqel relative to Hamed Alzoubi Jordan Hamed Alzoubi's profile →
Citations per field
00.5×1.5×1.9×
Hamed Alzoubi · 1×
Citations per year

Countries citing papers authored by Amin A. Aqel

Since Specialization
Citations

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

Fields of papers citing papers by Amin A. Aqel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20235
4 20231
5 20232
6 20225
7 20211
8 2020204
9 201916
10 20185
11 201818
12 201733
13 201625
14 20151
15 201516
16 201436
17 201414
18 20134
19
Effect of Salvia triloba L. f. extracts on neoplastic cell lines.
20105
20 20081

About Amin A. Aqel

Amin A. Aqel is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 26 papers that have together received 461 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial Identification and Susceptibility Testing (6 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial biofilms and quorum sensing (5 papers), Antibiotic Use and Resistance (4 papers), Bacillus and Francisella bacterial research (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Modeling and Simulation (85 citations), Applied Microbiology and Biotechnology (25 citations) and Molecular Medicine (56 citations). Amin A. Aqel has collaborated with scholars based in Jordan, United States and Egypt. Frequent co-authors include Hamed Alzoubi, Mohammad Abu Lubad, Asma’a Al-Mnayyis, Nedal Alnawaiseh, Hani Al-Shagahin, Asem Shehabi, Wael A. Al-Zereini, Bruno Pichon, Angela Kearns and Anna Vickers. Their work appears in journals such as SHILAP Revista de lepidopterología, Antibiotics and Microorganisms.

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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