Sara Aiman

403 total citations
19 papers, 275 citations indexed

About

Sara Aiman is a scholar working on Molecular Biology, Epidemiology and Biotechnology. According to data from OpenAlex, Sara Aiman has authored 19 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Biotechnology. Recurrent topics in Sara Aiman's work include vaccines and immunoinformatics approaches (8 papers), Transgenic Plants and Applications (4 papers) and Poxvirus research and outbreaks (4 papers). Sara Aiman is often cited by papers focused on vaccines and immunoinformatics approaches (8 papers), Transgenic Plants and Applications (4 papers) and Poxvirus research and outbreaks (4 papers). Sara Aiman collaborates with scholars based in China, Pakistan and Saudi Arabia. Sara Aiman's co-authors include Chunhua Li, Asifullah Khan, Zeeshan Shaukat, Luca Rastrelli, Noor Rahman, Yahya Alhamhoom, Asif Ali Khan, Sulaiman Shams, Fatemeh Azadegan‐Dehkordi and Abdulrahman Alshammari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sara Aiman

19 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Aiman China 11 201 58 54 45 40 19 275
Iona J. Taylor United Kingdom 8 156 0.8× 31 0.5× 20 0.4× 55 1.2× 42 1.1× 8 292
Sungwa Matondo Tanzania 6 149 0.7× 27 0.5× 17 0.3× 33 0.7× 42 1.1× 7 284
Daisuke Ito Japan 15 180 0.9× 65 1.1× 29 0.5× 26 0.6× 26 0.7× 36 591
Md Munan Shaik United States 8 188 0.9× 39 0.7× 151 2.8× 121 2.7× 28 0.7× 12 372
Magnus Haraldson Høie Denmark 6 345 1.7× 35 0.6× 13 0.2× 24 0.5× 34 0.8× 8 432
Q. May Wang United States 11 226 1.1× 153 2.6× 44 0.8× 133 3.0× 31 0.8× 14 481
Srijita Basak India 5 266 1.3× 39 0.7× 13 0.2× 138 3.1× 27 0.7× 6 308
Supanee Potisopon France 8 89 0.4× 27 0.5× 74 1.4× 169 3.8× 36 0.9× 9 386
Utkarsh Narsaria India 6 272 1.4× 40 0.7× 13 0.2× 142 3.2× 40 1.0× 8 314
Nabarun Chandra Das India 13 190 0.9× 61 1.1× 14 0.3× 218 4.8× 27 0.7× 18 431

Countries citing papers authored by Sara Aiman

Since Specialization
Citations

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

Fields of papers citing papers by Sara Aiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Aiman

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

All Works

19 of 19 papers shown
1.
Aiman, Sara, Abdul Malik, Rui Chen, et al.. (2025). Whole proteome-integrated and vaccinomics-based next generation mRNA vaccine design against Pseudomonas aeruginosa-A hierarchical subtractive proteomics approach. International Journal of Biological Macromolecules. 309(Pt 1). 142627–142627. 1 indexed citations
2.
3.
Aiman, Sara, et al.. (2023). Immunoinformatics-based multi-epitope vaccine design for the re-emerging monkeypox virus. International Immunopharmacology. 123. 110725–110725. 15 indexed citations
4.
Mahdi, Wael A., Sultan Alshehri, Sara Aiman, et al.. (2023). Annotation of Potential Vaccine Targets and Designing of mRNA-Based Multi-Epitope Vaccine against Lumpy Skin Disease Virus via Reverse Vaccinology and Agent-Based Modeling. Bioengineering. 10(4). 430–430. 20 indexed citations
5.
Aiman, Sara, Abida Khan, Mohd Imran, et al.. (2023). Comparative Proteomics and Genome-Wide Druggability Analyses Prioritized Promising Therapeutic Targets against Drug-Resistant Leishmania tropica. Microorganisms. 11(1). 228–228. 4 indexed citations
6.
Shahab, Muhammad, Sara Aiman, Abdulrahman Alshammari, et al.. (2023). Immunoinformatics-based potential multi-peptide vaccine designing against Jamestown Canyon Virus (JCV) capable of eliciting cellular and humoral immune responses. International Journal of Biological Macromolecules. 253(Pt 2). 126678–126678. 21 indexed citations
7.
Aiman, Sara, Zeeshan Shaukat, Asifullah Khan, et al.. (2023). A comprehensive protein interaction map and druggability investigation prioritized dengue virus NS1 protein as promising therapeutic candidate. PLoS ONE. 18(7). e0287905–e0287905. 4 indexed citations
8.
Aiman, Sara, Yasir Ali, Abdul Malik, et al.. (2023). Immunoinformatic-guided novel mRNA vaccine designing to elicit immunogenic responses against the endemic Monkeypox virus. Journal of Biomolecular Structure and Dynamics. 42(12). 6292–6306. 11 indexed citations
9.
Aiman, Sara, Asifullah Khan, Yasir Ali, et al.. (2023). Vaccinomics-aided next-generation novel multi-epitope-based vaccine engineering against multidrug resistant Shigella Sonnei: Immunoinformatics and chemoinformatics approaches. PLoS ONE. 18(11). e0289773–e0289773. 13 indexed citations
10.
Aiman, Sara, Azmat Ali Khan, Amer M. Alanazi, et al.. (2023). Vaccinomics-based next-generation multi-epitope chimeric vaccine models prediction against Leishmania tropica - a hierarchical subtractive proteomics and immunoinformatics approach. Frontiers in Immunology. 14. 1259612–1259612. 32 indexed citations
11.
Aiman, Sara, Shujaat Ahmad, Abdus Samad, et al.. (2022). Molecular Mimicry Analyses Unveiled the Human Herpes Simplex and Poxvirus Epitopes as Possible Candidates to Incite Autoimmunity. Pathogens. 11(11). 1362–1362. 6 indexed citations
12.
Aiman, Sara, Yahya Alhamhoom, Noor Rahman, et al.. (2022). Multi-epitope chimeric vaccine design against emerging Monkeypox virus via reverse vaccinology techniques- a bioinformatics and immunoinformatics approach. Frontiers in Immunology. 13. 985450–985450. 60 indexed citations
13.
Shaukat, Zeeshan, et al.. (2021). Protein-protein interactions: Methods, databases, and applications in virus-host study. World Journal of Virology. 10(6). 288–300. 34 indexed citations
14.
15.
Shaukat, Zeeshan, et al.. (2020). Inferring Virus-Host relationship between HPV and its host Homo sapiens using protein interaction network. Scientific Reports. 10(1). 8719–8719. 18 indexed citations
16.
Shaukat, Zeeshan, et al.. (2020). A systems biology-driven approach to construct a comprehensive protein interaction network of influenza A virus with its host. BMC Infectious Diseases. 20(1). 480–480. 7 indexed citations
17.
Shehroz, Muhammad, et al.. (2019). The In Silico Characterization of a Salicylic Acid Analogue Coding Gene Clusters in Selected Pseudomonas fluorescens Strains.. PubMed. 17(4). e2250–e2250. 2 indexed citations
18.
Aiman, Sara, et al.. (2018). Species-Wide Genome Mining of Pseudomonas putida for Potential Secondary Metabolites and Drug-Like Natural Products Characterization. Journal of Proteomics & Bioinformatics. 11(1). 10 indexed citations
19.
Khan, Asifullah, et al.. (2017). The in silico identification of small molecules for protein-protein interaction inhibition in AKAP-Lbc–RhoA signaling complex. Computational Biology and Chemistry. 67. 84–91. 3 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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