E. Salah
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Protein Kinase Regulation and GTPase Signaling
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Epigenetics and DNA Methylation 13
- RNA modifications and cancer 8
- Cancer-related gene regulation 8
- Protein Kinase Regulation and GTPase Signaling 4
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 3
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- Cancer, Hypoxia, and Metabolism 10
- Co-authors
- Stefan Knapp (14 shared papers)Christopher J. Schofield (29 shared papers)Anthony Tumber (24 shared papers)F. von Delft (2 shared papers)Giulio Superti‐Furga (2 shared papers)F. Niesen (1 shared paper)P. Rellos (1 shared paper)Wen‐Hwa Lee (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (8 papers)ChemMedChem (3 papers)RSC Chemical Biology (3 papers)Chemical Communications (2 papers)Chemical Science (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
E. Salah
44 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 95
- Molecular Biology 1.0k
- Cancer Research 149
- Computational Theory and Mathematics 153
- Oncology 239
- Cell Biology 139
Countries citing papers authored by E. Salah
This map shows the geographic impact of E. Salah'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 E. Salah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Salah more than expected).
Fields of papers citing papers by E. Salah
This network shows the impact of papers produced by E. Salah. 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 E. Salah. The network helps show where E. Salah may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Salah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 299 | |
| 2 | 2010 | 191 | |
| 3 | 2008 | 156 | |
| 4 | 2007 | 93 | |
| 5 | 2008 | 77 | |
| 6 | 2016 | 53 | |
| 7 | 2019 | 39 | |
| 8 | 2023 | 38 | |
| 9 | 2023 | 36 | |
| 10 | 2011 | 35 | |
| 11 | 2021 | 32 | |
| 12 | 2022 | 32 | |
| 13 | 2016 | 28 | |
| 14 | 2012 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2022 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2019 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2021 | 18 |
About E. Salah
E. Salah is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Oncology and Computational Theory and Mathematics, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Cancer, Hypoxia, and Metabolism (10 papers), RNA modifications and cancer (8 papers), Cancer-related gene regulation (8 papers), Computational Drug Discovery Methods (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Ubiquitin and proteasome pathways (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Cancer Research (149 citations), Computational Theory and Mathematics (153 citations), Oncology (239 citations) and Cell Biology (139 citations). E. Salah has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Stefan Knapp, Christopher J. Schofield, Anthony Tumber, F. von Delft, Giulio Superti‐Furga, F. Niesen, P. Rellos, Wen‐Hwa Lee, Lennart Brewitz and A.C.W. Pike. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, RSC Chemical Biology, Chemical Communications and Chemical Science.
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.