Rami Sukarieh

37 total papers · 1.5k total citations
14 papers, 1.2k citations indexed

About

Rami Sukarieh is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rami Sukarieh has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rami Sukarieh's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Polyamine Metabolism and Applications (3 papers) and Viral Infections and Immunology Research (3 papers). Rami Sukarieh is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Polyamine Metabolism and Applications (3 papers) and Viral Infections and Immunology Research (3 papers). Rami Sukarieh collaborates with scholars based in Canada, Singapore and United States. Rami Sukarieh's co-authors include Nahum Sonenberg, Jerry Pelletier, Avak Kahvejian, Yuri V. Svitkin, Randal J. Kaufman, Junichi Tanaka, Imed‐Eddine Gallouzi, Rachid Mazrouï, Peter T. Northcote and Chen‐Ju Lin and has published in prestigious journals such as Genes & Development, PLoS ONE and Cancer Research.

In The Last Decade

Rami Sukarieh

14 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rami Sukarieh 1.0k 133 86 86 75 14 1.2k
Marc E. Van Eden 579 0.6× 183 1.4× 91 1.1× 65 0.8× 45 0.6× 13 935
Modem Suhasini 643 0.6× 99 0.7× 135 1.6× 80 0.9× 53 0.7× 22 918
Tilman Schneider‐Poetsch 1.1k 1.0× 52 0.4× 93 1.1× 94 1.1× 102 1.4× 19 1.3k
Lucas C. Reineke 1.1k 1.1× 198 1.5× 170 2.0× 71 0.8× 179 2.4× 23 1.4k
D Latchman 762 0.8× 151 1.1× 137 1.6× 52 0.6× 120 1.6× 20 1.1k
Weihai He 1.0k 1.0× 72 0.5× 127 1.5× 121 1.4× 48 0.6× 9 1.4k
Maja Hemmings-Mieszczak 890 0.9× 48 0.4× 111 1.3× 80 0.9× 84 1.1× 14 1.2k
Moonsun Hwang 877 0.9× 258 1.9× 123 1.4× 50 0.6× 190 2.5× 11 1.2k
Stefanie Wortelkamp 830 0.8× 66 0.5× 57 0.7× 62 0.7× 137 1.8× 11 1.2k
Caitlin Hall 576 0.6× 89 0.7× 50 0.6× 73 0.8× 105 1.4× 13 951

Countries citing papers authored by Rami Sukarieh

Since Specialization
Citations

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

Fields of papers citing papers by Rami Sukarieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rami Sukarieh

This figure shows the co-authorship network connecting the top 25 collaborators of Rami Sukarieh. A scholar is included among the top collaborators of Rami Sukarieh 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 Rami Sukarieh. Rami Sukarieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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