Maya S. Eissa

905 citations
70 papers · 710 · h-index 17

Impact in

    • Analytical Methods in Pharmaceuticals
    • Analytical chemistry methods development
    • Analytical Chemistry and Chromatography

Papers in

    • Analytical Methods in Pharmaceuticals 39
    • Spectroscopy and Chemometric Analyses 9
    • Analytical Chemistry and Chromatography 22

Maya S. Eissa

69 papers receiving 693 citations

Peers

Maya S. Eissa
Comparison fields: 5 of 85
  • Analytical Chemistry 460
  • Spectroscopy 252
  • Bioengineering 78
  • Pharmacology 175
  • Electrochemistry 63
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Citations per field
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Magda Elhenawee · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202038
2 202027
3 201726
4 202425
5 202124
6 202023
7 201722
8 201622
9 202122
10 202121
11 202020
12 202419
13 202018
14 202017
15 201916
16 202316
17 202016
18 202314
19 202213
20 201813

About Maya S. Eissa

Maya S. Eissa is a scholar working on Analytical Chemistry, Spectroscopy, Pharmacology, Food Science and Bioengineering, having authored 70 papers that have together received 710 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (39 papers), Analytical Chemistry and Chromatography (22 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers), Pesticide Residue Analysis and Safety (11 papers), Spectroscopy and Chemometric Analyses (9 papers), Analytical Chemistry and Sensors (8 papers), Electrochemical sensors and biosensors (7 papers) and Electrochemical Analysis and Applications (7 papers). The work is most often cited by research in Analytical Chemistry (460 citations), Spectroscopy (252 citations), Bioengineering (78 citations), Pharmacology (175 citations) and Electrochemistry (63 citations). Maya S. Eissa has collaborated with scholars based in Egypt, Iraq and Saudi Arabia. Frequent co-authors include Ahmed Elsonbaty, Hala E. Zaazaa, Basma M. Eltanany, Wаfаа S. Hаssаn, Khaled Attala, Magda Elhenawee, Soad S. Abd El‐Hay, Ahmed M. Abdel‐Raoof, Maha A. Hegazy and Mohamed Hasan. Their work appears in journals such as Journal of AOAC International, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Microchemical Journal, Journal of Chromatographic Science and Journal of The Electrochemical Society.

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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