Ziad M. Eletr
Impact in
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- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
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- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
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- Ubiquitin and proteasome pathways 6
- Protein Structure and Dynamics 6
- Protein Degradation and Inhibitors 4
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Oncology 6
- Cancer-related Molecular Pathways 5
- Co-authors
- Keith D. Wilkinson (4 shared papers)Brian Kuhlman (7 shared papers)Carrie Purbeck (3 shared papers)Brenda A. Schulman (1 shared paper)Danny T. Huang (1 shared paper)David M. Duda (1 shared paper)Deanne W. Sammond (2 shared papers)Randall J. Kimple (1 shared paper)
- Journals
- Journal of Molecular Biology (4 papers)Biochemical and Biophysical Research Communications (1 paper)The FASEB Journal (1 paper)Nature Structural & Molecular Biology (1 paper)FEBS Letters (1 paper)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Ziad M. Eletr
13 papers receiving 730 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 631
- Oncology 190
- Cell Biology 71
- Biotechnology 35
- Epidemiology 90
Countries citing papers authored by Ziad M. Eletr
This map shows the geographic impact of Ziad M. Eletr'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 Ziad M. Eletr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziad M. Eletr more than expected).
Fields of papers citing papers by Ziad M. Eletr
This network shows the impact of papers produced by Ziad M. Eletr. 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 Ziad M. Eletr. The network helps show where Ziad M. Eletr may publish in the future.
Co-authors
The 25 scholars most cited alongside Ziad M. Eletr, 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 | 2013 | 154 | |
| 2 | 2005 | 129 | |
| 3 | 2011 | 93 | |
| 4 | 2007 | 81 | |
| 5 | 2006 | 74 | |
| 6 | 2007 | 58 | |
| 7 | 2006 | 40 | |
| 8 | 2013 | 38 | |
| 9 | 2009 | 30 | |
| 10 | 2006 | 24 | |
| 11 | 2009 | 17 | |
| 12 | 2018 | 2 | |
| 13 | 2015 | 1 |
About Ziad M. Eletr
Ziad M. Eletr is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 13 papers that have together received 741 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Protein Structure and Dynamics (6 papers), Cancer-related Molecular Pathways (5 papers), Enzyme Structure and Function (4 papers), Protein Degradation and Inhibitors (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (631 citations), Oncology (190 citations), Cell Biology (71 citations), Biotechnology (35 citations) and Epidemiology (90 citations). Ziad M. Eletr has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Keith D. Wilkinson, Brian Kuhlman, Carrie Purbeck, Brenda A. Schulman, Danny T. Huang, David M. Duda, Deanne W. Sammond, Randall J. Kimple, David P. Siderovski and Yangmee Kim. Their work appears in journals such as Journal of Molecular Biology, Biochemical and Biophysical Research Communications, The FASEB Journal, Nature Structural & Molecular Biology and FEBS Letters.
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.