David Z. Rudner

143 total papers · 10.5k total citations
106 papers, 7.6k citations indexed

About

David Z. Rudner is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, David Z. Rudner has authored 106 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Genetics, 78 papers in Molecular Biology and 54 papers in Ecology. Recurrent topics in David Z. Rudner's work include Bacterial Genetics and Biotechnology (82 papers), Bacteriophages and microbial interactions (53 papers) and RNA and protein synthesis mechanisms (32 papers). David Z. Rudner is often cited by papers focused on Bacterial Genetics and Biotechnology (82 papers), Bacteriophages and microbial interactions (53 papers) and RNA and protein synthesis mechanisms (32 papers). David Z. Rudner collaborates with scholars based in United States, France and United Kingdom. David Z. Rudner's co-authors include Richard Losick, Xindan Wang, Kathleen A. Marquis, Thomas G. Bernhardt, Paula Montero Llopis, Donald C. Rio, Sigal Ben‐Yehuda, Alexander J. Meeske, Keith Ireton and Alan D. Grossman and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David Z. Rudner

103 papers receiving 7.6k citations

Hit Papers

Construction and Analysis... 2016 2026 2019 2022 2017 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
David Z. Rudner 5.6k 4.3k 2.7k 853 594 106 7.6k
Leendert W. Hamoen 4.6k 0.8× 3.4k 0.8× 2.0k 0.7× 436 0.5× 534 0.9× 91 6.4k
Juan C. Alonso 5.0k 0.9× 4.1k 0.9× 2.5k 0.9× 806 0.9× 677 1.1× 221 6.8k
Michael T. Laub 6.9k 1.2× 4.6k 1.1× 2.5k 0.9× 922 1.1× 767 1.3× 120 9.1k
Susan T. Lovett 7.1k 1.3× 4.4k 1.0× 1.6k 0.6× 710 0.8× 598 1.0× 197 8.5k
William Margolin 6.1k 1.1× 5.0k 1.1× 3.1k 1.1× 855 1.0× 482 0.8× 139 8.4k
Jun-ichi Tomizawa 7.6k 1.4× 4.1k 0.9× 2.5k 0.9× 577 0.7× 896 1.5× 108 9.0k
Kit Pogliano 4.1k 0.7× 2.7k 0.6× 2.4k 0.9× 731 0.9× 337 0.6× 93 6.3k
Thomas G. Bernhardt 4.6k 0.8× 4.6k 1.0× 2.5k 0.9× 726 0.9× 1.3k 2.2× 107 7.7k
Jay D. Gralla 8.5k 1.5× 4.8k 1.1× 2.1k 0.8× 695 0.8× 362 0.6× 132 9.8k
Hironori Niki 5.3k 1.0× 4.0k 0.9× 1.9k 0.7× 660 0.8× 711 1.2× 121 6.7k

Countries citing papers authored by David Z. Rudner

Since Specialization
Citations

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

Fields of papers citing papers by David Z. Rudner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Z. Rudner. 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 David Z. Rudner. The network helps show where David Z. Rudner may publish in the future.

Co-authorship network of co-authors of David Z. Rudner

This figure shows the co-authorship network connecting the top 25 collaborators of David Z. Rudner. A scholar is included among the top collaborators of David Z. Rudner 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 David Z. Rudner. David Z. Rudner 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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