Noeris K. Salam
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- Computational Drug Discovery Methods 3
- Molecular Biology top 10%
- Protein Structure and Dynamics 3
- Peroxisome Proliferator-Activated Receptors 3
- Chemical Synthesis and Analysis 2
- Cancer therapeutics and mechanisms 2
- Nicotinic Acetylcholine Receptors Study 2
- Organic Chemistry top 10%
- Pharmacology top 10%
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- Drug Transport and Resistance Mechanisms 2
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- Adipose Tissue and Metabolism 2
- Co-authors
- Woody ShermanRoberto NutiDavid E. HibbsKathryn LovingTom HuangBasil D. RoufogalisBhavani Prasad KotaDavid A. Pearlman
- Journals
- Journal of Medicinal Chemistry (3 papers)Biochemical Pharmacology (2 papers)Journal of Chemical Information and Modeling (2 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Noeris K. Salam
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Computational Theory and Mathematics 321
- Molecular Biology 724
- Organic Chemistry 300
- Pharmacology 167
- Oncology 173
Countries citing papers authored by Noeris K. Salam
This map shows the geographic impact of Noeris K. Salam'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 Noeris K. Salam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noeris K. Salam more than expected).
Fields of papers citing papers by Noeris K. Salam
This network shows the impact of papers produced by Noeris K. Salam. 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 Noeris K. Salam. The network helps show where Noeris K. Salam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noeris K. Salam, 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 | 2017 | 13 | |
| 2 | 2014 | 75 | |
| 3 | 2013 | 9 | |
| 4 | 2012 | 20 | |
| 5 | 2012 | 25 | |
| 6 | 2011 | 55 | |
| 7 | 2011 | 9 | |
| 8 | 2011 | 2 | |
| 9 | 2011 | 108 | |
| 10 | 2010 | 24 | |
| 11 | 2009 | 145 | |
| 12 | 2009 | 134 | |
| 13 | 2009 | 77 | |
| 14 | 2009 | 262 | |
| 15 | 2008 | 14 | |
| 16 | 2008 | 33 | |
| 17 | 2007 | 113 | |
| 18 | 2006 | 16 | |
| 19 | 2005 | 58 |
About Noeris K. Salam
Noeris K. Salam is a scholar working on Biological Psychiatry, Molecular Biology, Computational Theory and Mathematics, Clinical Biochemistry and Cell Biology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Chemical Synthesis and Analysis (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Adipose Tissue and Metabolism (2 papers), Cancer therapeutics and mechanisms (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Computational Theory and Mathematics (321 citations), Molecular Biology (724 citations), Organic Chemistry (300 citations), Pharmacology (167 citations) and Oncology (173 citations). Noeris K. Salam has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Woody Sherman, Roberto Nuti, David E. Hibbs, Kathryn Loving, Tom Huang, Basil D. Roufogalis, Bhavani Prasad Kota, David A. Pearlman, Yuhao Li and Richard A. Friesner. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemical Pharmacology, Journal of Chemical Information and Modeling, Molecular Cancer Therapeutics and ACS Medicinal Chemistry 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.