Faruck Morcos
- Molecular Biology top 5%
- Protein Structure and Dynamics 26
- RNA and protein synthesis mechanisms 21
- Bioinformatics and Genomic Networks 11
- Microbial Metabolic Engineering and Bioproduction 10
- Genomics and Phylogenetic Studies 7
- Genetics top 5%
- Bacterial Genetics and Biotechnology 7
-
- Computational Drug Discovery Methods 6
- Virology top 10%
-
- Enzyme Structure and Function 7
- Co-authors
- José N. OnuchicTerence HwaMartin WeigtAndrea PagnaniRiccardo ZecchinaBryan LuntDebora S. MarksChris Sander
- Journals
- Proceedings of the National Academy of Sciences (14 papers)Biophysical Journal (8 papers)Nature Communications (3 papers)
- Partner nations
- United StatesIsraelBrazil
In The Last Decade
Faruck Morcos
64 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 2.3k
- Genetics 412
- Computational Theory and Mathematics 186
- Renewable Energy, Sustainability and the Environment 167
- Virology 44
Countries citing papers authored by Faruck Morcos
This map shows the geographic impact of Faruck Morcos'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 Faruck Morcos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faruck Morcos more than expected).
Fields of papers citing papers by Faruck Morcos
This network shows the impact of papers produced by Faruck Morcos. 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 Faruck Morcos. The network helps show where Faruck Morcos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Faruck Morcos, 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 | 2024 | 9 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 15 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 21 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 30 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 9 | |
| 15 | 2018 | 13 | |
| 16 | 2018 | 7 | |
| 17 | 2018 | 1 | |
| 18 | 2014 | 131 | |
| 19 | 2013 | 132 | |
| 20 | 2012 | 2 |
About Faruck Morcos
Faruck Morcos is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Biophysics and Renewable Energy, Sustainability and the Environment, having authored 66 papers that have together received 2.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (26 papers), RNA and protein synthesis mechanisms (21 papers), Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Genomics and Phylogenetic Studies (7 papers), Enzyme Structure and Function (7 papers), Bacterial Genetics and Biotechnology (7 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Genetics (412 citations), Computational Theory and Mathematics (186 citations), Renewable Energy, Sustainability and the Environment (167 citations) and Virology (44 citations). Faruck Morcos has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include José N. Onuchic, Terence Hwa, Martin Weigt, Andrea Pagnani, Riccardo Zecchina, Bryan Lunt, Debora S. Marks, Chris Sander, Ryan R. Cheng and Biman Jana. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, Nature Communications, Nucleic Acids Research and PLoS ONE.
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.