Ibrahim E. Elsemman

586 total citations
13 papers, 355 citations indexed

About

Ibrahim E. Elsemman is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ibrahim E. Elsemman has authored 13 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Ibrahim E. Elsemman's work include Microbial Metabolic Engineering and Bioproduction (5 papers), Fungal and yeast genetics research (3 papers) and Spam and Phishing Detection (2 papers). Ibrahim E. Elsemman is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), Fungal and yeast genetics research (3 papers) and Spam and Phishing Detection (2 papers). Ibrahim E. Elsemman collaborates with scholars based in Egypt, Sweden and Denmark. Ibrahim E. Elsemman's co-authors include Jens Nielsen, Taysir Hassan A. Soliman, Petri‐Jaan Lahtvee, Francesco Gatto, Agata Smialowska, Sergo Kasvandik, Benjamín J. Sánchez, Saeed Shoaie, Fredrik Karlsson and Intawat Nookaew and has published in prestigious journals such as Nature Communications, Scientific Reports and BMC Microbiology.

In The Last Decade

Ibrahim E. Elsemman

12 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ibrahim E. Elsemman Egypt 6 314 80 25 20 20 13 355
Tushar H. More Germany 11 203 0.6× 32 0.4× 18 0.7× 21 1.1× 31 1.6× 28 315
Renate Keßler Germany 11 359 1.1× 44 0.6× 23 0.9× 20 1.0× 17 0.8× 21 432
Mihail Anton Sweden 8 666 2.1× 198 2.5× 33 1.3× 47 2.4× 14 0.7× 10 735
Suresh Selvarasu Singapore 7 454 1.4× 152 1.9× 18 0.7× 5 0.3× 13 0.7× 8 487
Hossein Lanjanian Iran 11 159 0.5× 33 0.4× 17 0.7× 13 0.7× 6 0.3× 37 315
Bettina Seeger Germany 8 88 0.3× 43 0.5× 26 1.0× 13 0.7× 6 0.3× 21 240
Karl Alex Hedin Denmark 8 296 0.9× 31 0.4× 53 2.1× 26 1.3× 7 0.3× 10 374
Xavier Grandier‐Vazeille France 10 363 1.2× 42 0.5× 26 1.0× 9 0.5× 32 1.6× 20 430
Alex S. Hebert United States 7 309 1.0× 18 0.2× 10 0.4× 31 1.6× 47 2.4× 9 360
Tamara de la Spain 6 342 1.1× 67 0.8× 21 0.8× 7 0.3× 6 0.3× 8 407

Countries citing papers authored by Ibrahim E. Elsemman

Since Specialization
Citations

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

Fields of papers citing papers by Ibrahim E. Elsemman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ibrahim E. Elsemman. 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 Ibrahim E. Elsemman. The network helps show where Ibrahim E. Elsemman may publish in the future.

Co-authorship network of co-authors of Ibrahim E. Elsemman

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

All Works

13 of 13 papers shown
1.
Soliman, Taysir Hassan A., et al.. (2025). A novel in silico molecular tool for comprehensive differentiation of Mycobacterium species. Scientific Reports. 15(1). 4981–4981. 1 indexed citations
2.
Ji, Boyang, et al.. (2024). Transcriptomic meta-analysis to identify potential antifungal targets in Candida albicans. BMC Microbiology. 24(1). 66–66. 5 indexed citations
3.
4.
Elsemman, Ibrahim E., et al.. (2023). Developing Analytical Tools for Arabic Sentiment Analysis of COVID-19 Data. Algorithms. 16(7). 318–318. 1 indexed citations
5.
Elsemman, Ibrahim E., et al.. (2023). Embedding-Based Deep Neural Network and Convolutional Neural Network Graph Classifiers. Electronics. 12(12). 2715–2715. 3 indexed citations
6.
Elsemman, Ibrahim E., Pranas Grigaitis, Manuel Garcia‐Albornoz, et al.. (2022). Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies. Nature Communications. 13(1). 801–801. 57 indexed citations
7.
Li, Feiran, Yu Chen, Yanyan Wang, et al.. (2022). Improving recombinant protein production by yeast through genome-scale modeling using proteome constraints. Nature Communications. 13(1). 2969–2969. 41 indexed citations
8.
Elsemman, Ibrahim E., et al.. (2021). Constraint‐based models for dominating protein interaction networks. IET Systems Biology. 15(5). 148–162. 5 indexed citations
9.
Elsemman, Ibrahim E., et al.. (2020). MEMETIC PROGRAMMING WITH THE ATOMIC REPRESENTATION FOR EXTRACTING LOGICAL CLASSIFICATION RULES. 49(1). 1–17. 2 indexed citations
10.
Elsemman, Ibrahim E., et al.. (2019). SOLVING TWO-CLASS CLASSIFICATION PROBLEM USING MEMETIC PROGRAMMING. 48(1). 58–71. 1 indexed citations
11.
Lahtvee, Petri‐Jaan, Benjamín J. Sánchez, Agata Smialowska, et al.. (2017). Absolute Quantification of Protein and mRNA Abundances Demonstrate Variability in Gene-Specific Translation Efficiency in Yeast. Cell Systems. 4(5). 495–504.e5. 135 indexed citations
12.
Elsemman, Ibrahim E., Adil Mardinoğlu, Saeed Shoaie, Taysir Hassan A. Soliman, & Jens Nielsen. (2016). Systems biology analysis of hepatitis C virus infection reveals the role of copy number increases in regions of chromosome 1q in hepatocellular carcinoma metabolism. Molecular BioSystems. 12(5). 1496–1506. 21 indexed citations
13.
Elsemman, Ibrahim E., Fredrik Karlsson, Saeed Shoaie, et al.. (2014). Genome-scale metabolic reconstructions of Bifidobacterium adolescentis L2-32 and Faecalibacterium prausnitzii A2-165 and their interaction. BMC Systems Biology. 8(1). 41–41. 83 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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