Zeina Kais

12 total papers · 451 total citations
6 papers, 325 citations indexed

About

Zeina Kais is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Zeina Kais has authored 6 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Oncology. Recurrent topics in Zeina Kais's work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and BRCA gene mutations in cancer (2 papers). Zeina Kais is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and BRCA gene mutations in cancer (2 papers). Zeina Kais collaborates with scholars based in United States and Japan. Zeina Kais's co-authors include Jeffrey D. Parvin, Beatrice Rondinelli, Colin O’Leary, David Kozono, Amie L. Holmes, Alan D. D’Andrea, Raphaël Ceccaldi, Kun Huang, Natsuko Chiba and Chikashi Ishioka and has published in prestigious journals such as Oncogene, Cell Reports and PLoS Computational Biology.

In The Last Decade

Zeina Kais

6 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
Zeina Kais 288 114 63 61 47 6 325
Herman H. H. B. M. van Haagen 250 0.9× 40 0.4× 58 0.9× 65 1.1× 34 0.7× 7 356
Kallol Ray 265 0.9× 130 1.1× 56 0.9× 30 0.5× 30 0.6× 8 337
Aikaterini Chatzipli 145 0.5× 48 0.4× 70 1.1× 39 0.6× 20 0.4× 8 223
Alejandro Fernandez-Woodbridge 251 0.9× 62 0.5× 59 0.9× 25 0.4× 48 1.0× 7 343
Bartosz Tarkowski 257 0.9× 78 0.7× 43 0.7× 27 0.4× 38 0.8× 9 362
Angela Incassati 222 0.8× 190 1.7× 44 0.7× 44 0.7× 61 1.3× 6 332
Stephanie H. Shirley 226 0.8× 182 1.6× 65 1.0× 57 0.9× 52 1.1× 9 348
Kyusam Choi 223 0.8× 84 0.7× 77 1.2× 31 0.5× 45 1.0× 8 329
Kamil Lipiński 181 0.6× 51 0.4× 113 1.8× 59 1.0× 30 0.6× 7 288
Yanzhe Gao 282 1.0× 84 0.7× 73 1.2× 23 0.4× 47 1.0× 14 314

Countries citing papers authored by Zeina Kais

Since Specialization
Citations

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

Fields of papers citing papers by Zeina Kais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeina Kais

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