Rima Hajjo

76 total papers · 1.5k total citations
43 papers, 995 citations indexed

About

Rima Hajjo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Rima Hajjo has authored 43 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 8 papers in Infectious Diseases. Recurrent topics in Rima Hajjo's work include Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Rima Hajjo is often cited by papers focused on Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Rima Hajjo collaborates with scholars based in Jordan, United States and United Arab Emirates. Rima Hajjo's co-authors include Dima A. Sabbah, Kamal Sweidan, Sanaa K. Bardaweel, Alexander Tropsha, Abdel Qader Al Bawab, Bryan L. Roth, Vincent Setola, Walid Al-Zyoud, Ahmed Abu‐Siniyeh and Haizhen A. Zhong and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Rima Hajjo

40 papers receiving 977 citations

Hit Papers

Review on Epidermal Growt... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Rima Hajjo 465 161 155 130 124 43 995
Yingke He 447 1.0× 144 0.9× 138 0.9× 141 1.1× 179 1.4× 23 1.2k
Yaxue Zhao 776 1.7× 104 0.6× 121 0.8× 157 1.2× 68 0.5× 43 1.2k
Shuo Zhou 412 0.9× 86 0.5× 84 0.5× 188 1.4× 111 0.9× 55 1.0k
Yan Guan 595 1.3× 79 0.5× 94 0.6× 81 0.6× 166 1.3× 26 1.0k
John T.-A. Hsu 490 1.1× 201 1.2× 139 0.9× 78 0.6× 100 0.8× 32 1.1k
Tina Ritschel 627 1.3× 183 1.1× 89 0.6× 115 0.9× 223 1.8× 32 1.1k
Wenyu Wu 460 1.0× 68 0.4× 107 0.7× 168 1.3× 80 0.6× 62 1.1k
Michael Dodds 284 0.6× 89 0.6× 232 1.5× 81 0.6× 51 0.4× 51 1.2k
Katherine Ververis 561 1.2× 64 0.4× 163 1.1× 72 0.6× 90 0.7× 22 1.1k
Haneen Amawi 461 1.0× 120 0.7× 188 1.2× 201 1.5× 78 0.6× 46 1.1k

Countries citing papers authored by Rima Hajjo

Since Specialization
Citations

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

Fields of papers citing papers by Rima Hajjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rima Hajjo

This figure shows the co-authorship network connecting the top 25 collaborators of Rima Hajjo. A scholar is included among the top collaborators of Rima Hajjo 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 Rima Hajjo. Rima Hajjo 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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