Amar Drawid
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Fungal and yeast genetics research
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Mitochondrial Function and Pathology
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
Papers in
-
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 1
-
- IL-33, ST2, and ILC Pathways 1
- Co-authors
- Mark Gerstein (2 shared papers)Ronald Jansen (2 shared papers)John A. Heyman (1 shared paper)Anuj Kumar (1 shared paper)Kei-Hoi Cheung (1 shared paper)Mark Gerstein (1 shared paper)Seema Agarwal (1 shared paper)Perry L. Miller (1 shared paper)
- Journals
- Genes & Development (1 paper)BMC Bioinformatics (1 paper)Trends in Genetics (1 paper)Annals of the New York Academy of Sciences (1 paper)Journal of Chemical Information and Modeling (1 paper)
- Partner nations
- United States
In The Last Decade
Amar Drawid
7 papers receiving 782 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 735
- Spectroscopy 116
- Cell Biology 72
- Biophysics 25
- Biochemistry 22
Countries citing papers authored by Amar Drawid
This map shows the geographic impact of Amar Drawid'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 Amar Drawid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amar Drawid more than expected).
Fields of papers citing papers by Amar Drawid
This network shows the impact of papers produced by Amar Drawid. 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 Amar Drawid. The network helps show where Amar Drawid may publish in the future.
Co-authors
The 23 scholars most cited alongside Amar Drawid, 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 | Subcellular localization of the yeast proteome Hit paper breakdown → | 2002 | 597 |
| 2 | 2000 | 115 | |
| 3 | 2000 | 57 | |
| 4 | 2008 | 15 | |
| 5 | 2009 | 10 | |
| 6 | 2002 | 8 | |
| 7 | 2014 | 7 |
About Amar Drawid
Amar Drawid is a scholar working on Molecular Biology, Immunology, Cancer Research, Pharmacology and Physiology, having authored 7 papers that have together received 809 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), NF-κB Signaling Pathways (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (1 paper), Asthma and respiratory diseases (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Molecular Biology (735 citations), Spectroscopy (116 citations), Cell Biology (72 citations), Biophysics (25 citations) and Biochemistry (22 citations). Amar Drawid has collaborated with scholars based in United States. Frequent co-authors include Mark Gerstein, Ronald Jansen, John A. Heyman, Anuj Kumar, Kei-Hoi Cheung, Mark Gerstein, Seema Agarwal, Perry L. Miller, Matthew Heidtman and Yang Liu. Their work appears in journals such as Genes & Development, BMC Bioinformatics, Trends in Genetics, Annals of the New York Academy of Sciences and Journal of Chemical Information and Modeling.
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.