Naim Nazef
Impact in
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- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
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- Porphyrin Metabolism and Disorders
- Chemical Synthesis and Analysis
- Receptor Mechanisms and Signaling
Papers in
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- Receptor Mechanisms and Signaling 1
- Porphyrin Metabolism and Disorders 1
- Protein purification and stability 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Huw M. Nash (3 shared papers)Cheng‐Chi Chuang (2 shared papers)D. Allen Annis (2 shared papers)Margaret Porter Scott (1 shared paper)Robert D. M. Davies (1 shared paper)Michael F. Greaney (1 shared paper)Martin L. Koser (1 shared paper)Cheng-Jung Lai (1 shared paper)
- Journals
- SLAS DISCOVERY (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)Molecular Therapy (1 paper)Organic Letters (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Naim Nazef
5 papers receiving 255 citations
Peers
Comparison fields: 5 of 61
- Spectroscopy 47
- Molecular Biology 185
- Pulmonary and Respiratory Medicine 51
- Rehabilitation 9
- Organic Chemistry 43
Countries citing papers authored by Naim Nazef
This map shows the geographic impact of Naim Nazef'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 Naim Nazef with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naim Nazef more than expected).
Fields of papers citing papers by Naim Nazef
This network shows the impact of papers produced by Naim Nazef. 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 Naim Nazef. The network helps show where Naim Nazef may publish in the future.
Co-authors
The 25 scholars most cited alongside Naim Nazef, 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 | 2004 | 91 | |
| 2 | 2018 | 84 | |
| 3 | 2012 | 33 | |
| 4 | 2009 | 26 | |
| 5 | 2006 | 26 |
About Naim Nazef
Naim Nazef is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Rehabilitation and Pulmonary and Respiratory Medicine, having authored 5 papers that have together received 260 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Magnolia and Illicium research (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Kidney Stones and Urolithiasis Treatments (1 paper), Receptor Mechanisms and Signaling (1 paper), Porphyrin Metabolism and Disorders (1 paper), Cassava research and cyanide (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Spectroscopy (47 citations), Molecular Biology (185 citations), Pulmonary and Respiratory Medicine (51 citations), Rehabilitation (9 citations) and Organic Chemistry (43 citations). Naim Nazef has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Huw M. Nash, Cheng‐Chi Chuang, D. Allen Annis, Margaret Porter Scott, Robert D. M. Davies, Michael F. Greaney, Martin L. Koser, Cheng-Jung Lai, Rohan Diwanji and Michael Dills. Their work appears in journals such as SLAS DISCOVERY, Combinatorial Chemistry & High Throughput Screening, Molecular Therapy, Organic Letters and Journal of the American Chemical Society.
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.