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 3
- Genomics and Phylogenetic Studies 2
- Genomics and Chromatin Dynamics 2
- Machine Learning in Bioinformatics 2
- RNA Research and Splicing 1
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- T-cell and Retrovirus Studies 1
- Co-authors
- Mark Gerstein (2 shared papers)Ronald Jansen (2 shared papers)John A. Heyman (1 shared paper)Matthew Heidtman (1 shared paper)Yang Liu (1 shared paper)Perry L. Miller (1 shared paper)G. Shirleen Roeder (1 shared paper)M Snyder (1 shared paper)
- Journals
- BMC Bioinformatics (1 paper)Journal of Molecular Biology (1 paper)Trends in Genetics (1 paper)Annals of the New York Academy of Sciences (1 paper)Cancer Research (1 paper)
- Partner nations
- United States
In The Last Decade
Amar Drawid
7 papers receiving 809 citations
Amar Drawid's Hit Papers
Peers
Comparison fields: 5 of 76
- Molecular Biology 738
- Spectroscopy 113
- Biophysics 27
- Cell Biology 71
- Biochemistry 23
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 | 619 |
| 2 | 2000 | 122 | |
| 3 | 2000 | 57 | |
| 4 | 2008 | 16 | |
| 5 | 2009 | 10 | |
| 6 | 2002 | 8 | |
| 7 | 2014 | 7 |
About Amar Drawid
Amar Drawid is a scholar working on Molecular Biology, Immunology, Pharmacology, Physiology and Genetics, having authored 7 papers that have together received 839 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Machine Learning in Bioinformatics (2 papers), Estrogen and related hormone effects (1 paper), T-cell and Retrovirus Studies (1 paper), NF-κB Signaling Pathways (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Molecular Biology (738 citations), Spectroscopy (113 citations), Biophysics (27 citations), Cell Biology (71 citations) and Biochemistry (23 citations). Amar Drawid has collaborated with scholars based in United States. Frequent co-authors include Mark Gerstein, Ronald Jansen, John A. Heyman, Matthew Heidtman, Yang Liu, Perry L. Miller, G. Shirleen Roeder, M Snyder, Mark Gerstein and Anuj Kumar. Their work appears in journals such as BMC Bioinformatics, Journal of Molecular Biology, Trends in Genetics, Annals of the New York Academy of Sciences and Cancer Research.
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.