Sarah Mubeen
- Molecular Biology
- Computational Theory and Mathematics top 10%
- Artificial Intelligence
- Pharmacology
- Plant Science
- Co-authors
- Daniel Domingo‐FernándézMartin Hofmann‐ApitiusCharles Tapley HoytAlpha Tom KodamullilHolger FröhlichYojana GadiyaAntónio J. PretoMatthew D. Healy
- Topics
- Bioinformatics and Genomic Networks (14 papers)Computational Drug Discovery Methods (5 papers)Gene expression and cancer classification (5 papers)
In The Last Decade
Sarah Mubeen
18 papers receiving 267 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 193
- Computational Theory and Mathematics 71
- Artificial Intelligence 20
- Pharmacology 19
- Plant Science 19
Countries citing papers authored by Sarah Mubeen
This map shows the geographic impact of Sarah Mubeen'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 Sarah Mubeen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Mubeen more than expected).
Fields of papers citing papers by Sarah Mubeen
This network shows the impact of papers produced by Sarah Mubeen. 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 Sarah Mubeen. The network helps show where Sarah Mubeen may publish in the future.
Co-authorship network of co-authors of Sarah Mubeen
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Mubeen. A scholar is included among the top collaborators of Sarah Mubeen 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 Sarah Mubeen. Sarah Mubeen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 31 | |
| 3 | 12 | |
| 4 | 15 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 32 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 18 | |
| 18 | 71 | |
| 19 | 32 |
About Sarah Mubeen
Sarah Mubeen is a scholar working on Biological Psychiatry, Computational Theory and Mathematics and Molecular Biology, having authored 19 papers that have together received 277 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (14 papers), Computational Drug Discovery Methods (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Computational Theory and Mathematics (71 citations), Health Informatics (4 citations) and Molecular Biology (193 citations). Sarah Mubeen has collaborated with scholars based in Germany, Spain and Italy. Frequent co-authors include Daniel Domingo‐Fernándéz, Martin Hofmann‐Apitius, Charles Tapley Hoyt, Alpha Tom Kodamullil, Holger Fröhlich, Yojana Gadiya, António J. Preto, Matthew D. Healy, Shaurya Chanana and Bryan H. Norman. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.
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.