Shimaa Eissa

3.9k total citations · 1 hit paper
70 papers, 3.1k citations indexed

About

Shimaa Eissa is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shimaa Eissa has authored 70 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 25 papers in Biomedical Engineering and 17 papers in Electrical and Electronic Engineering. Recurrent topics in Shimaa Eissa's work include Advanced biosensing and bioanalysis techniques (46 papers), Biosensors and Analytical Detection (20 papers) and Electrochemical sensors and biosensors (13 papers). Shimaa Eissa is often cited by papers focused on Advanced biosensing and bioanalysis techniques (46 papers), Biosensors and Analytical Detection (20 papers) and Electrochemical sensors and biosensors (13 papers). Shimaa Eissa collaborates with scholars based in Saudi Arabia, United Arab Emirates and Canada. Shimaa Eissa's co-authors include Mohammed Zourob, Mohamed Siaj, Laila Layqah, Raja Chinnappan, Andy Ng, Chaker Tlili, Hani A. Alhadrami, Ana C. Tavares, Lamia L’Hocine and Anas M. Abdel Rahman and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Analytical Biochemistry.

In The Last Decade

Shimaa Eissa

69 papers receiving 3.0k citations

Hit Papers

An electrochemical immunosensor for the corona virus asso... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shimaa Eissa Saudi Arabia 32 2.0k 1.5k 736 687 540 70 3.1k
María Isabel Pividori Spain 39 2.3k 1.1× 1.9k 1.3× 991 1.3× 224 0.3× 356 0.7× 115 3.9k
Shijia Ding China 44 5.3k 2.6× 2.7k 1.9× 836 1.1× 318 0.5× 1.0k 1.9× 209 6.3k
Qiang Zhao China 34 2.8k 1.4× 1.7k 1.2× 419 0.6× 103 0.1× 430 0.8× 135 3.4k
Danke Xu China 35 3.3k 1.6× 2.2k 1.5× 926 1.3× 156 0.2× 718 1.3× 127 4.4k
Beate Strehlitz Germany 25 2.6k 1.3× 1.3k 0.9× 796 1.1× 183 0.3× 194 0.4× 35 3.3k
John G. Bruno United States 28 2.7k 1.3× 1.7k 1.2× 282 0.4× 365 0.5× 290 0.5× 96 3.4k
Wei Cheng China 42 4.0k 2.0× 2.2k 1.5× 632 0.9× 239 0.3× 691 1.3× 143 4.7k
Xiaoyuan Ma China 37 2.8k 1.4× 2.4k 1.6× 300 0.4× 392 0.6× 779 1.4× 87 3.8k
C. Raman Suri India 35 1.7k 0.8× 1.2k 0.9× 930 1.3× 119 0.2× 809 1.5× 90 3.3k
Lisa C. Shriver‐Lake United States 31 1.6k 0.8× 1.5k 1.0× 502 0.7× 134 0.2× 206 0.4× 94 3.0k

Countries citing papers authored by Shimaa Eissa

Since Specialization
Citations

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

Fields of papers citing papers by Shimaa Eissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shimaa Eissa

This figure shows the co-authorship network connecting the top 25 collaborators of Shimaa Eissa. A scholar is included among the top collaborators of Shimaa 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 Shimaa Eissa. Shimaa Eissa 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
1.
Kanagavalli, Pandiyaraj, et al.. (2025). SELEX-derived DNA aptamer utilized for sensitive electrochemical biosensing of Toxoplasma gondii surface antigen 1. International Journal of Biological Macromolecules. 310(Pt 4). 143530–143530. 2 indexed citations
2.
Khan, Muhammad Umair, et al.. (2025). Brain inspired iontronic fluidic memristive and memcapacitive device for self-powered electronics. Microsystems & Nanoengineering. 11(1). 37–37. 10 indexed citations
4.
Kanagavalli, Pandiyaraj, et al.. (2025). Reduced graphene oxide-based electrochemical aptasensor for the multiplexed detection of imidacloprid, thiamethoxam, and clothianidin in food samples. Scientific Reports. 15(1). 10329–10329. 6 indexed citations
5.
Eissa, Shimaa, et al.. (2024). Aptamer-based biosensors for the detection of neonicotinoid insecticides in environmental samples: A systematic review. Talanta. 275. 126190–126190. 14 indexed citations
6.
Chrouda, Amani, et al.. (2024). Selection of a new aptamer targeting amoxicillin for utilization in a label-free electrochemical biosensor. Talanta. 276. 126245–126245. 17 indexed citations
7.
Kanagavalli, Pandiyaraj & Shimaa Eissa. (2024). Exploring various carbon nanomaterials-based electrodes modified with polymelamine for the reagentless electrochemical immunosensing of Claudin18.2. Biosensors and Bioelectronics. 259. 116388–116388. 15 indexed citations
8.
Eissa, Shimaa, et al.. (2023). Paper-Based Biosensor for the Detection of Sepsis Using MMP-9 Biomarker in FIP Mice Model. Biosensors. 13(8). 804–804. 4 indexed citations
9.
Cialla‐May, Dana, Qasem Ramadan, Shimaa Eissa, et al.. (2023). Biosensing Platform for the Detection of Biomarkers for ALI/ARDS in Bronchoalveolar Lavage Fluid of LPS Mice Model. Biosensors. 13(7). 676–676. 4 indexed citations
11.
Eissa, Shimaa, et al.. (2020). Probing the influence of graphene oxide sheets size on the performance of label-free electrochemical biosensors. Scientific Reports. 10(1). 13612–13612. 30 indexed citations
12.
Eissa, Shimaa & Mohammed Zourob. (2020). Ultrasensitive peptide-based multiplexed electrochemical biosensor for the simultaneous detection of Listeria monocytogenes and Staphylococcus aureus. Microchimica Acta. 187(9). 486–486. 61 indexed citations
13.
Layqah, Laila & Shimaa Eissa. (2019). An electrochemical immunosensor for the corona virus associated with the Middle East respiratory syndrome using an array of gold nanoparticle-modified carbon electrodes. Microchimica Acta. 186(4). 224–224. 300 indexed citations breakdown →
14.
Eissa, Shimaa, et al.. (2019). A comparison of the performance of voltammetric aptasensors for glycated haemoglobin on different carbon nanomaterials-modified screen printed electrodes. Materials Science and Engineering C. 101. 423–430. 33 indexed citations
16.
Chinnappan, Raja, et al.. (2017). Fluorometric graphene oxide-based detection of Salmonella enteritis using a truncated DNA aptamer. Microchimica Acta. 185(1). 61–61. 72 indexed citations
17.
Eissa, Shimaa & Mohammed Zourob. (2016). In vitro selection of DNA aptamers targeting β-lactoglobulin and their integration in graphene-based biosensor for the detection of milk allergen. Biosensors and Bioelectronics. 91. 169–174. 98 indexed citations
18.
Eissa, Shimaa, Mohamed Siaj, & Mohammed Zourob. (2015). Aptamer-based competitive electrochemical biosensor for brevetoxin‐2. Biosensors and Bioelectronics. 69. 148–154. 107 indexed citations
19.
Eissa, Shimaa, Lamia L’Hocine, Mohamed Siaj, & Mohammed Zourob. (2013). A graphene-based label-free voltammetric immunosensor for sensitive detection of the egg allergen ovalbumin. The Analyst. 138(15). 4378–4378. 77 indexed citations
20.
Radi, Abd‐Elgawad & Shimaa Eissa. (2011). Voltammetric and spectrophotometric Study on the inclusion complex of glipizide with β-cyclodextrin. Eurasian Journal of Analytical Chemistry. 6(1). 13–21. 5 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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