Ibrahim E. Elsemman
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Fungal and yeast genetics research
- Gene Regulatory Network Analysis
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
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- Microbial Metabolic Engineering and Bioproduction 5
- Fungal and yeast genetics research 3
- Bioinformatics and Genomic Networks 2
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- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 1
- Co-authors
- Jens Nielsen (6 shared papers)Taysir Hassan A. Soliman (6 shared papers)Agata Smialowska (1 shared paper)Benjamín J. Sánchez (1 shared paper)Sergo Kasvandik (1 shared paper)Francesco Gatto (1 shared paper)Petri‐Jaan Lahtvee (1 shared paper)Saeed Shoaie (2 shared papers)
In The Last Decade
Ibrahim E. Elsemman
12 papers receiving 348 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 314
- Biotechnology 16
- Biomedical Engineering 80
- Food Science 25
- Spectroscopy 20
Countries citing papers authored by Ibrahim E. Elsemman
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
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-authors
The 25 scholars most cited alongside Ibrahim E. Elsemman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 135 | |
| 2 | 2014 | 83 | |
| 3 | 2022 | 57 | |
| 4 | 2022 | 41 | |
| 5 | 2016 | 21 | |
| 6 | 2024 | 5 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2024 | 0 |
About Ibrahim E. Elsemman
Ibrahim E. Elsemman is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Epidemiology and Biomedical Engineering, having authored 13 papers that have together received 355 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (5 papers), Fungal and yeast genetics research (3 papers), Spam and Phishing Detection (2 papers), Biofuel production and bioconversion (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Bioinformatics and Genomic Networks (2 papers), Complex Network Analysis Techniques (1 paper) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Molecular Biology (314 citations), Biotechnology (16 citations), Biomedical Engineering (80 citations), Food Science (25 citations) and Spectroscopy (20 citations). Ibrahim E. Elsemman has collaborated with scholars based in Egypt, Sweden and Denmark. Frequent co-authors include Jens Nielsen, Taysir Hassan A. Soliman, Agata Smialowska, Benjamín J. Sánchez, Sergo Kasvandik, Francesco Gatto, Petri‐Jaan Lahtvee, Saeed Shoaie, Fredrik Karlsson and Intawat Nookaew. Their work appears in journals such as Nature Communications, BMC Microbiology, Scientific Reports, BMC Systems Biology and Electronics.
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.