Rafik Salama

2.9k total citations · 1 hit paper
21 papers, 1.9k citations indexed

About

Rafik Salama is a scholar working on Molecular Biology, Cancer Research and Information Systems. According to data from OpenAlex, Rafik Salama has authored 21 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Information Systems. Recurrent topics in Rafik Salama's work include RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (5 papers). Rafik Salama is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Epigenetics and DNA Methylation (5 papers). Rafik Salama collaborates with scholars based in United Kingdom, Saudi Arabia and United States. Rafik Salama's co-authors include Masashi Narita, Matthew Hoare, Mahito Sadaie, Kosuke Tomimatsu, Peter J. Ratcliffe, David R. Mole, Inês de Santiago, Thomas S Carroll, Rory Stark and Ziwei Liang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genes & Development.

In The Last Decade

Rafik Salama

19 papers receiving 1.8k citations

Hit Papers

Cellular senescence and its effector programs 2014 2026 2018 2022 2014 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cellular senescence and its effector programs
    2014 664 citations Rafik Salama, Mahito Sadaie et al. Genes & Development profile →

Peers

Rafik Salama
Abdulmohammad Pezeshki United States
Michela Borghesan United Kingdom
Deepavali Chakravarti United States
Katerina I. Leonova United States
Manuela Ferreira Portugal
Jeremy D. Henson Australia
Min Luo China
Domhnall McHugh United Kingdom
Marieke van de Ven Netherlands
Erik B. van den Akker Netherlands
Abdulmohammad Pezeshki United States
Rafik Salama
Citations per year, relative to Rafik Salama Rafik Salama (= 1×) peers Abdulmohammad Pezeshki

Countries citing papers authored by Rafik Salama

Since Specialization
Citations

This map shows the geographic impact of Rafik Salama'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 Rafik Salama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafik Salama more than expected).

Fields of papers citing papers by Rafik Salama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafik Salama. 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 Rafik Salama. The network helps show where Rafik Salama may publish in the future.

Co-authorship network of co-authors of Rafik Salama

This figure shows the co-authorship network connecting the top 25 collaborators of Rafik Salama. A scholar is included among the top collaborators of Rafik Salama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rafik Salama. Rafik Salama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Salama, Rafik, et al.. (2024). Longitudinal Retrospective Study of a Wearable NMES System to Determine the Effects on Arm Usage in Hemiparetic and Hemiplegic Patients. JPO Journal of Prosthetics and Orthotics. 37(1). 53–63.
2.
Li, Ran, Rafik Salama, Leandro M. Colli, et al.. (2019). Co-incidence of RCC-susceptibility polymorphisms with HIF cis-acting sequences supports a pathway tuning model of cancer. Scientific Reports. 9(1). 18768–18768. 8 indexed citations
3.
Smythies, James, Min Sun, Norma Masson, et al.. (2018). Inherent DNA ‐binding specificities of the HIF ‐1α and HIF ‐2α transcription factors in chromatin. EMBO Reports. 20(1). 140 indexed citations
4.
Grampp, Steffen, Rafik Salama, James Smythies, et al.. (2017). Multiple renal cancer susceptibility polymorphisms modulate the HIF pathway. PLoS Genetics. 13(7). e1006872–e1006872. 25 indexed citations
5.
Grampp, Steffen, Rafik Salama, Sven Wach, et al.. (2016). Genetic variation at the 8q24.21 renal cancer susceptibility locus affects HIF binding to a MYC enhancer. Nature Communications. 7(1). 13183–13183. 62 indexed citations
6.
Salama, Rafik, James Smythies, Hani Choudhry, et al.. (2016). Capture‐C reveals preformed chromatin interactions between HIF ‐binding sites and distant promoters. EMBO Reports. 17(10). 1410–1421. 52 indexed citations
7.
Hoare, Matthew, Yoko Itō, Tae-Won Kang, et al.. (2016). NOTCH1 mediates a switch between two distinct secretomes during senescence. Nature Cell Biology. 18(9). 979–992. 366 indexed citations
8.
Salama, Rafik, Norma Masson, Peter Simpson, et al.. (2015). Heterogeneous Effects of Direct Hypoxia Pathway Activation in Kidney Cancer. PLoS ONE. 10(8). e0134645–e0134645. 39 indexed citations
9.
10.
Salama, Rafik, Mahito Sadaie, Matthew Hoare, & Masashi Narita. (2014). Cellular senescence and its effector programs. Genes & Development. 28(2). 99–114. 664 indexed citations breakdown →
11.
Carroll, Thomas S, Ziwei Liang, Rafik Salama, Rory Stark, & Inês de Santiago. (2014). Impact of artifact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data. Frontiers in Genetics. 5. 75–75. 146 indexed citations
12.
Tadros, George, et al.. (2014). modelimprovement and cost savings: the Birmingham RAID Impact of an integrated rapid response psychiatric liaison team. 2 indexed citations
13.
Sadaie, Mahito, Rafik Salama, Thomas Carroll, et al.. (2013). Redistribution of the Lamin B1 genomic binding profile affects rearrangement of heterochromatic domains and SAHF formation during senescence. Genes & Development. 27(16). 1800–1808. 227 indexed citations
14.
Salama, Rafik & Dov J. Stekel. (2013). A non-independent energy-based multiple sequence alignment improves prediction of transcription factor binding sites. Bioinformatics. 29(21). 2699–2704. 5 indexed citations
15.
Tadros, George, et al.. (2013). Impact of an integrated rapid response psychiatric liaison team on quality improvement and cost savings: the Birmingham RAID model. The Psychiatrist. 37(1). 4–10. 70 indexed citations
16.
Antoun, Ayman, Rafik Salama, Guy Pratt, et al.. (2012). The genotype of RAET1L (ULBP6), a ligand for human NKG2D (KLRK1), markedly influences the clinical outcome of allogeneic stem cell transplantation. British Journal of Haematology. 159(5). 589–598. 16 indexed citations
17.
Salama, Rafik & Dov J. Stekel. (2010). Inclusion of neighboring base interdependencies substantially improves genome-wide prokaryotic transcription factor binding site prediction. Nucleic Acids Research. 38(12). e135–e135. 18 indexed citations
18.
Salama, Rafik & Sherif G. Aly. (2008). A Decision Making Tool for the Selection of Service Oriented-Based Legacy Systems Modernization Strategies.. Software Engineering Research and Practice. 396–402. 4 indexed citations
19.
Salama, Rafik. (2007). Automated selection of legacy systems SOA modernization strategies using decision theory. 1 indexed citations
20.
Salama, Rafik & Ahmed Sameh. (2007). Potential Performance Improvement of Collective Operations in UPC.. 413–422. 6 indexed citations

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.

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