Omar H. Ismail

1.0k total citations
27 papers, 830 citations indexed

About

Omar H. Ismail is a scholar working on Spectroscopy, Biomedical Engineering and Analytical Chemistry. According to data from OpenAlex, Omar H. Ismail has authored 27 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Spectroscopy, 14 papers in Biomedical Engineering and 12 papers in Analytical Chemistry. Recurrent topics in Omar H. Ismail's work include Analytical Chemistry and Chromatography (21 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers) and Chromatography in Natural Products (9 papers). Omar H. Ismail is often cited by papers focused on Analytical Chemistry and Chromatography (21 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers) and Chromatography in Natural Products (9 papers). Omar H. Ismail collaborates with scholars based in Italy, Switzerland and United States. Omar H. Ismail's co-authors include Francesco Gasparrini, Alberto Cavazzini, Claudio Villani, Alessia Ciogli, Martina Catani, Luisa Pasti, Simona Felletti, Giulia Mazzoccanti, David S. Bell and Nicola Marchetti and has published in prestigious journals such as Analytical Chemistry, Chemical Communications and Journal of Chromatography A.

In The Last Decade

Omar H. Ismail

26 papers receiving 817 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Omar H. Ismail Italy	19	689	449	301	188	90	27	830
George L. Reid United States	12	569 0.8×	429 1.0×	231 0.8×	148 0.8×	88 1.0×	19	864
Simona Felletti Italy	18	467 0.7×	304 0.7×	148 0.5×	388 2.1×	73 0.8×	49	913
Marianna Kele United States	16	1.0k 1.5×	667 1.5×	598 2.0×	355 1.9×	122 1.4×	21	1.2k
Chiara De Luca Italy	17	368 0.5×	245 0.5×	122 0.4×	398 2.1×	55 0.6×	44	816
Pamela C. Iraneta United States	14	599 0.9×	359 0.8×	302 1.0×	178 0.9×	145 1.6×	18	754
Peter Sajonz United States	20	967 1.4×	563 1.3×	482 1.6×	445 2.4×	176 2.0×	38	1.2k
Jianyi Ni China	22	852 1.2×	661 1.5×	255 0.8×	395 2.1×	46 0.5×	37	1.2k
Cadapakam J. Venkatramani United States	14	478 0.7×	350 0.8×	270 0.9×	150 0.8×	33 0.4×	21	620
C. Dewaele Belgium	21	736 1.1×	562 1.3×	344 1.1×	219 1.2×	95 1.1×	65	1.3k
Xingye Su China	15	515 0.7×	206 0.5×	372 1.2×	371 2.0×	37 0.4×	17	881

Countries citing papers authored by Omar H. Ismail

Since Specialization

Citations

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

Fields of papers citing papers by Omar H. Ismail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omar H. Ismail. 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 Omar H. Ismail. The network helps show where Omar H. Ismail may publish in the future.

Co-authorship network of co-authors of Omar H. Ismail

This figure shows the co-authorship network connecting the top 25 collaborators of Omar H. Ismail. A scholar is included among the top collaborators of Omar H. Ismail 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 Omar H. Ismail. Omar H. Ismail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ismail, Omar H., Chao Zheng, Thomas W. Chamberlain, et al.. (2024). An experimental study on flow behaviour of pharmaceutical powders during suction filling. International Journal of Pharmaceutics. 662. 124527–124527. 1 indexed citations

Ismail, Omar H., Martina Catani, Giulia Mazzoccanti, et al.. (2022). Boosting the enantioresolution of zwitterionic-teicoplanin chiral stationary phases by moving to wide-pore core-shell particles. Journal of Chromatography A. 1676. 463190–463190. 8 indexed citations

Mazzoccanti, Giulia, Antônio Ricci, Walter Cabri, et al.. (2020). Boosting basic-peptide separation through dynamic electrostatic-repulsion reversed-phase (d-ERRP) liquid chromatography. RSC Advances. 10(21). 12604–12610. 5 indexed citations

Losacco, Gioacchino Luca, Omar H. Ismail, Julian Pezzatti, et al.. (2020). Applicability of Supercritical fluid chromatography–Mass spectrometry to metabolomics. II–Assessment of a comprehensive library of metabolites and evaluation of biological matrices. Journal of Chromatography A. 1620. 461021–461021. 36 indexed citations

Ismail, Omar H., et al.. (2019). Modular and conservative procedure for the quantification of amino functionalities bonded to solid porous matrices. Analytica Chimica Acta. 1068. 120–130.

Ismail, Omar H., Simona Felletti, Chiara De Luca, et al.. (2018). The Way to Ultrafast, High-Throughput Enantioseparations of Bioactive Compounds in Liquid and Supercritical Fluid Chromatography. Molecules. 23(10). 2709–2709. 31 indexed citations

Felletti, Simona, Chiara De Luca, Omar H. Ismail, et al.. (2018). On the effect of chiral selector loading and mobile phase composition on adsorption properties of latest generation fully- and superficially-porous Whelk-O1 particles for high-efficient ultrafast enantioseparations. Journal of Chromatography A. 1579. 41–48. 25 indexed citations

Catani, Martina, Simona Felletti, Omar H. Ismail, et al.. (2018). New frontiers and cutting edge applications in ultra high performance liquid chromatography through latest generation superficially porous particles with particular emphasis to the field of chiral separations. Analytical and Bioanalytical Chemistry. 410(10). 2457–2465. 31 indexed citations

Ismail, Omar H., Michela Antonelli, Alessia Ciogli, et al.. (2018). Direct analysis of chiral active pharmaceutical ingredients and their counterions by ultra high performance liquid chromatography with macrocyclic glycopeptide-based chiral stationary phases. Journal of Chromatography A. 1576. 42–50. 32 indexed citations

10.

Mazzoccanti, Giulia, Omar H. Ismail, Ilaria D’Acquarica, et al.. (2017). Cannabis through the looking glass: chemo- and enantio-selective separation of phytocannabinoids by enantioselective ultra high performance supercritical fluid chromatography. Chemical Communications. 53(91). 12262–12265. 49 indexed citations

11.

Ismail, Omar H., Michela Antonelli, Alessia Ciogli, et al.. (2017). Future perspectives in high efficient and ultrafast chiral liquid chromatography through zwitterionic teicoplanin-based 2-μm superficially porous particles. Journal of Chromatography A. 1520. 91–102. 41 indexed citations

12.

Sommella, Eduardo, Omar H. Ismail, Francesco Pagano, et al.. (2017). Development of an improved online comprehensive hydrophilic interaction chromatography × reversed‐phase ultra‐high‐pressure liquid chromatography platform for complex multiclass polyphenolic sample analysis. Journal of Separation Science. 40(10). 2188–2197. 45 indexed citations

13.

Ismail, Omar H., Martina Catani, Luisa Pasti, et al.. (2016). Experimental evidence of the kinetic performance achievable with columns packed with new 1.9μm fully porous particles of narrow particle size distribution. Journal of Chromatography A. 1454. 86–92. 31 indexed citations

14.

Catani, Martina, Omar H. Ismail, Alberto Cavazzini, et al.. (2016). Rationale behind the optimum efficiency of columns packed with new 1.9μm fully porous particles of narrow particle size distribution. Journal of Chromatography A. 1454. 78–85. 52 indexed citations

15.

Ismail, Omar H., Luisa Pasti, Alessia Ciogli, et al.. (2016). Pirkle-type chiral stationary phase on core–shell and fully porous particles: Are superficially porous particles always the better choice toward ultrafast high-performance enantioseparations?. Journal of Chromatography A. 1466. 96–104. 62 indexed citations

16.

Bonamore, Alessandra, Andrea Calcaterra, Omar H. Ismail, et al.. (2016). A Novel Enzymatic Strategy for the Synthesis of Substituted Tetrahydroisoquinolines. ChemistrySelect. 1(8). 1525–1528. 21 indexed citations

17.

Ismail, Omar H., Alessia Ciogli, Claudio Villani, et al.. (2015). Ultra-fast high-efficiency enantioseparations by means of a teicoplanin-based chiral stationary phase made on sub-2μm totally porous silica particles of narrow size distribution. Journal of Chromatography A. 1427. 55–68. 74 indexed citations

18.

Ismail, Omar H., Alessia Ciogli, Dorina Kotoni, et al.. (2015). Expanding the potential of chiral chromatography for high-throughput screening of large compound libraries by means of sub–2μm Whelk-O 1 stationary phase in supercritical fluid conditions. Journal of Chromatography A. 1383. 160–168. 43 indexed citations

19.

Sommella, Eduardo, Giacomo Pepe, Francesco Pagano, et al.. (2014). Evaluation of two sub-2μm stationary phases, core–shell and totally porous monodisperse, in the second dimension of on-line comprehensive two dimensional liquid chromatography, a case study: Separation of milk peptides after expiration date. Journal of Chromatography A. 1375. 54–61. 25 indexed citations

20.

Hassan, Yahaya, et al.. (2007). Bioequivalence evaluation of two different formulations of ciprofloxacin tablets in healthy volunteers.. PubMed. 48(9). 819–23. 11 indexed citations

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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