Ken Zaret

20 total papers · 979 total citations
12 papers, 785 citations indexed

About

Ken Zaret is a scholar working on Molecular Biology, Hepatology and Surgery. According to data from OpenAlex, Ken Zaret has authored 12 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Hepatology and 3 papers in Surgery. Recurrent topics in Ken Zaret's work include RNA Research and Splicing (4 papers), Liver physiology and pathology (4 papers) and RNA and protein synthesis mechanisms (3 papers). Ken Zaret is often cited by papers focused on RNA Research and Splicing (4 papers), Liver physiology and pathology (4 papers) and RNA and protein synthesis mechanisms (3 papers). Ken Zaret collaborates with scholars based in United States. Ken Zaret's co-authors include Stephanie M. Cascio, C. Michael DiPersio, Yehudit Bergman, James K. Liu, Clifton E. McPherson, R.A. Horowitz, Chengyu Jiang, Christopher L. Woodcock, Alan P. Wolffe and Katherine C. Palozola and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Molecular and Cellular Biology.

In The Last Decade

Ken Zaret

12 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Ken Zaret 549 280 228 170 66 12 785
Ewa Wandzioch 499 0.9× 325 1.2× 182 0.8× 111 0.7× 79 1.2× 13 763
Olga Smirnova 369 0.7× 530 1.9× 218 1.0× 247 1.5× 59 0.9× 11 781
Shengda Lin 460 0.8× 124 0.4× 130 0.6× 72 0.4× 53 0.8× 16 712
Sota Kodama 319 0.6× 479 1.7× 232 1.0× 209 1.2× 134 2.0× 8 747
Masashi Horiguchi 335 0.6× 508 1.8× 236 1.0× 220 1.3× 145 2.2× 9 798
T. Kuhara 316 0.6× 478 1.7× 232 1.0× 209 1.2× 132 2.0× 6 755
Olivier Brégerie 474 0.9× 153 0.5× 120 0.5× 208 1.2× 103 1.6× 8 846
Brynn N. Radtke 470 0.9× 214 0.8× 81 0.4× 350 2.1× 76 1.2× 9 727
Paola Sterpetti 378 0.7× 123 0.4× 72 0.3× 49 0.3× 120 1.8× 11 646
Lucia Gandino 465 0.8× 173 0.6× 451 2.0× 45 0.3× 144 2.2× 14 778

Countries citing papers authored by Ken Zaret

Since Specialization
Citations

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

Fields of papers citing papers by Ken Zaret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Zaret

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