Tamer S. Kaoud
- Molecular Biology top 10%
- Melanoma and MAPK Pathways 34
- Protein Kinase Regulation and GTPase Signaling 21
- Receptor Mechanisms and Signaling 13
- Organic Chemistry top 5%
- Synthesis and biological activity 12
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- Computational Drug Discovery Methods 15
- Spectroscopy top 5%
- Toxicology top 10%
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- Cancer-related Molecular Pathways 6
- Cytokine Signaling Pathways and Interactions 5
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- Cancer Mechanisms and Therapy 6
- Co-authors
- Kevin N. DalbyMohamed Abdel‐AzizVsevolod V. GurevichXuanzhi ZhanEric V. AnslynMangalika WarthakaPengyu RenChunli Yan
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesEgyptGermany
In The Last Decade
Tamer S. Kaoud
66 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 1.2k
- Organic Chemistry 468
- Computational Theory and Mathematics 227
- Spectroscopy 210
- Toxicology 31
Countries citing papers authored by Tamer S. Kaoud
This map shows the geographic impact of Tamer S. Kaoud'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 Tamer S. Kaoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamer S. Kaoud more than expected).
Fields of papers citing papers by Tamer S. Kaoud
This network shows the impact of papers produced by Tamer S. Kaoud. 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 Tamer S. Kaoud. The network helps show where Tamer S. Kaoud may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tamer S. Kaoud, 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 | 2022 | 14 | |
| 2 | 2021 | 36 | |
| 3 | 2021 | 21 | |
| 4 | 2019 | 20 | |
| 5 | 2019 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2017 | 56 | |
| 8 | 2017 | 8 | |
| 9 | 2016 | 16 | |
| 10 | 2016 | 47 | |
| 11 | 2015 | 17 | |
| 12 | 2014 | 38 | |
| 13 | 2014 | 14 | |
| 14 | 2014 | 45 | |
| 15 | 2013 | 67 | |
| 16 | 2013 | 27 | |
| 17 | 2012 | 19 | |
| 18 | 2012 | 13 | |
| 19 | 2012 | 19 | |
| 20 | 2012 | 20 |
About Tamer S. Kaoud
Tamer S. Kaoud is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (34 papers), Protein Kinase Regulation and GTPase Signaling (21 papers), Computational Drug Discovery Methods (15 papers), Receptor Mechanisms and Signaling (13 papers), Synthesis and biological activity (12 papers), Cancer-related Molecular Pathways (6 papers), Cancer Mechanisms and Therapy (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Organic Chemistry (468 citations) and Computational Theory and Mathematics (227 citations). Tamer S. Kaoud has collaborated with scholars based in United States, Egypt and Germany. Frequent co-authors include Kevin N. Dalby, Mohamed Abdel‐Aziz, Vsevolod V. Gurevich, Xuanzhi Zhan, Eric V. Anslyn, Mangalika Warthaka, Pengyu Ren, Chunli Yan, Jennifer S. Brodbelt and Clint D.J. Tavares. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.