Maya S. Eissa

866 total citations
70 papers, 678 citations indexed

About

Maya S. Eissa is a scholar working on Analytical Chemistry, Spectroscopy and Pharmacology. According to data from OpenAlex, Maya S. Eissa has authored 70 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Analytical Chemistry, 31 papers in Spectroscopy and 21 papers in Pharmacology. Recurrent topics in Maya S. Eissa's work include Analytical Methods in Pharmaceuticals (47 papers), Analytical Chemistry and Chromatography (29 papers) and Antibiotics Pharmacokinetics and Efficacy (17 papers). Maya S. Eissa is often cited by papers focused on Analytical Methods in Pharmaceuticals (47 papers), Analytical Chemistry and Chromatography (29 papers) and Antibiotics Pharmacokinetics and Efficacy (17 papers). Maya S. Eissa collaborates with scholars based in Egypt, Iraq and Saudi Arabia. Maya S. Eissa's co-authors include Ahmed Elsonbaty, Wаfаа S. Hаssаn, Basma M. Eltanany, Hala E. Zaazaa, Magda Elhenawee, Soad S. Abd El‐Hay, Ahmed M. Abdel‐Raoof, Maha A. Hegazy, Mohamed Hasan and Hanaa Saleh and has published in prestigious journals such as Journal of The Electrochemical Society, Scientific Reports and TrAC Trends in Analytical Chemistry.

In The Last Decade

Maya S. Eissa

69 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya S. Eissa Egypt	16	475	261	184	106	88	70	678
Yasmin M. Fayez Egypt	14	422 0.9×	241 0.9×	112 0.6×	117 1.1×	104 1.2×	68	600
Dina T. El-Sherbiny Egypt	14	412 0.9×	278 1.1×	174 0.9×	77 0.7×	74 0.8×	51	619
Rasha M. Youssef Egypt	18	534 1.1×	353 1.4×	226 1.2×	105 1.0×	96 1.1×	50	839
Khalid A.M. Attia Egypt	18	609 1.3×	352 1.3×	255 1.4×	122 1.2×	97 1.1×	91	904
Eman I. El‐Kimary Egypt	19	387 0.8×	274 1.0×	214 1.2×	76 0.7×	64 0.7×	42	656
Ahmed El‐Olemy Egypt	17	349 0.7×	218 0.8×	169 0.9×	76 0.7×	53 0.6×	60	537
Nouruddin W. Ali Egypt	13	344 0.7×	246 0.9×	139 0.8×	79 0.7×	59 0.7×	60	537
Eglal A. Abdelaleem Egypt	16	514 1.1×	331 1.3×	175 1.0×	150 1.4×	119 1.4×	69	847
Khadiga M. Kelani Egypt	16	426 0.9×	268 1.0×	166 0.9×	142 1.3×	79 0.9×	65	723
Said A. Hassan Egypt	19	549 1.2×	261 1.0×	195 1.1×	164 1.5×	125 1.4×	52	812

Countries citing papers authored by Maya S. Eissa

Since Specialization

Citations

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

Fields of papers citing papers by Maya S. Eissa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya S. Eissa

This figure shows the co-authorship network connecting the top 25 collaborators of Maya S. Eissa. A scholar is included among the top collaborators of Maya S. Eissa 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 Maya S. Eissa. Maya S. Eissa 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

Eissa, Maya S., Mohamed S. Imam, Mohamed Abdelrahman, et al.. (2024). Magnetic molecularly imprinted polymers and carbon dots molecularly imprinted polymers for green micro-extraction and analysis of pharmaceuticals in a variety of matrices. Microchemical Journal. 205. 111235–111235. 19 indexed citations

Abdel‐Raoof, Ahmed M., et al.. (2024). Solid Contact Microfabricated Electrode for Point-of-Care Electrochemical Determination of a Parasitic Infection Managing Medication Based on a Transducer Layer Prussian Blue Analogue Decorated with Multi-Walled Carbon Nanotubes. Journal of The Electrochemical Society. 171(10). 107504–107504. 6 indexed citations

Fayez, Yasmin M., et al.. (2023). Mini Review on Different Analytical Approaches Applied on some Selected GIT acting Combination. 2(2). 222–236.

Hashem, Hisham, et al.. (2023). Stability-indicating HPLC-DAD and TLC-densitometry methods for the quantification of bupivacaine and meloxicam in their co-formulated mixture. Microchemical Journal. 190. 108683–108683. 9 indexed citations

Eissa, Maya S., et al.. (2023). Development and validation of chemometric-assisted spectrophotometric models for efficient quantitation of a binary mixture of supportive treatments in COVID-19 in the presence of its toxic impurities: a comparative study for eco-friendly assessment. BMC Chemistry. 17(1). 177–177. 5 indexed citations

Eissa, Maya S., et al.. (2023). Computer-Aided Design of Eco-Friendly Imprinted Polymer Decorated Sensors Augmented by Self-Validated Ensemble Modeling Designs for the Quantitation of Drotaverine Hydrochloride in Dosage Form and Human Plasma. Journal of AOAC International. 106(5). 1361–1373. 13 indexed citations

Elsonbaty, Ahmed, et al.. (2023). Miniaturized Chip Integrated Ecological Sensor for the Quantitation of Milnacipran Hydrochloride in the Presence of Its Impurities in Dosage Form and Human Plasma. Journal of The Electrochemical Society. 170(8). 87504–87504. 8 indexed citations

Eissa, Maya S., et al.. (2023). Expeditive Chromatographic Methods for Quantification of Solifenacin Succinate along with its Official Impurity as the Possible Acid Degradation Product. Journal of Chromatographic Science. 62(1). 85–91. 4 indexed citations

Hashem, Hisham, et al.. (2023). Manipulation and Processing of Spectral Signals for the Assay of the Newly Authorized Mixture of Bupivacaine/Meloxicam Using Fully Green Solvents and a Comparative Green Evaluation Supporting the Greenness and Sustainability of the Developed Smart Spectrophotometric Methods. Journal of AOAC International. 106(4). 1056–1069. 6 indexed citations

10.

Eissa, Maya S., et al.. (2022). Chemometric Quality Assessment of Doxylamine Succinate With Its Degradation Product: Implementation of Two Predictive Models on UV-Spectrophotometric Data of Anti-Emetic Binary Mixture. Journal of AOAC International. 106(1). 221–227. 3 indexed citations

11.

Atty, Shimaa A., et al.. (2022). Analytical Eco-Scale for Evaluating the Uniqueness of Voltammetric Method used for Determination of Antiemetic Binary Mixture Containing Doxylamine Succinate in Presence of its Toxic Metabolite. Electrocatalysis. 13(6). 731–746. 11 indexed citations

12.

Hegazy, Maha A., et al.. (2021). HPLC-UV and TLC-Densitometry Methods for Simultaneous Determination of Sofosbuvir and Daclatasvir: Application to Darvoni® Tablet. Journal of Chromatographic Science. 60(6). 606–612. 3 indexed citations

13.

El‐Hay, Soad S. Abd, et al.. (2021). Spectral analysis of severely overlapping spectra based on newly developed mathematical filtration techniques and ratio spectra manipulations: An application to the concurrent determination of dapoxetine and sildenafil in combined dosage form. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 255. 119715–119715. 11 indexed citations

14.

Hegazy, Maha A., et al.. (2021). Three Smart and Original Spectrophotometric Data Processing Ratio Techniques for Resolving the Partial Overlapped Spectra of the Binary Antiviral Mixture Daclatasvir/Sofosbuvir: Application to Combined Dosage Form Darvoni® Tablets. Journal of AOAC International. 105(2). 612–622. 5 indexed citations

15.

Hegazy, Maha A., et al.. (2021). Smart Mathematical Manipulation οf Spectral Signals: Stability Indicating, fοr the Estimation of Sοlifenacin Succinate: Anti-Muscarinic Drug, in Existence οf Its Acid Degradatiοn Product. Journal of AOAC International. 105(1). 323–331. 9 indexed citations

16.

Abdel‐Raoof, Ahmed M., et al.. (2021). Potentiometric determination of amprolium drug at a carbon nanotubes/nickel oxide nanoparticles paste electrode. Microchemical Journal. 165. 106185–106185. 19 indexed citations

17.

Eissa, Maya S., et al.. (2020). Smart TLC–densitometric methods for determination of ophthalmic ternary mixture containing chloramphenicol in the presence of its synthetic precursor: Comparative eco-scaling for greenness assessment. Journal of Planar Chromatography – Modern TLC. 33(5). 501–509. 16 indexed citations

18.

Eissa, Maya S., et al.. (2020). Chromatographic Separation of the Novel Hypoglycemic Drug Mitiglinide in its Bulk Powder and Pharmaceutical Formulation: Forced Degradation and Validated Stability-Indicating HPTLC/Densitometry and HPLC/UV Methods. Journal of AOAC International. 103(3). 736–742. 1 indexed citations

19.

Abdel‐Raoof, Ahmed M., et al.. (2020). Simultaneous determination of citalopram and tadalafil by the second derivative synchronous fluorescence method in biological fluids; application of Box–Behnken optimization design. Luminescence. 36(1). 57–65. 12 indexed citations

20.

Eissa, Maya S., et al.. (2017). Innovative spectrophotometric methods for simultaneous estimation of the novel two-drug combination: Sacubitril/Valsartan through two manipulation approaches and a comparative statistical study. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 193. 365–374. 22 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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