David M. Truong

42 total papers · 1.9k total citations
25 papers, 1.4k citations indexed

About

David M. Truong is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, David M. Truong has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Plant Science. Recurrent topics in David M. Truong's work include CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (7 papers) and RNA and protein synthesis mechanisms (5 papers). David M. Truong is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Genomics and Chromatin Dynamics (7 papers) and RNA and protein synthesis mechanisms (5 papers). David M. Truong collaborates with scholars based in United States, France and Russia. David M. Truong's co-authors include Jessica K. Tyler, Sanjay K. Nigám, Stephanie K. Williams, Gregory Kaler, Satish A. Eraly, Chandrima Das, Jef D. Boeke, Joshua J. Carson, Jeffrey S. Kieft and Troy A. A. Harkness and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David M. Truong

25 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
David M. Truong 950 389 177 119 106 25 1.4k
Lisa D. Marroquin 1.0k 1.1× 187 0.5× 58 0.3× 126 1.1× 194 1.8× 19 1.6k
Gerald L. Forrest 836 0.9× 201 0.5× 77 0.4× 91 0.8× 82 0.8× 28 1.3k
Doriane Trompier 913 1.0× 566 1.5× 118 0.7× 60 0.5× 78 0.7× 37 1.6k
José R. Godoy 1.0k 1.1× 252 0.6× 90 0.5× 68 0.6× 21 0.2× 23 1.6k
Andreas Geerts 530 0.6× 254 0.7× 97 0.5× 22 0.2× 151 1.4× 19 1.2k
Lina Zhuang 583 0.6× 262 0.7× 90 0.5× 26 0.2× 20 0.2× 24 1.1k
Jon A. Gangoiti 710 0.7× 265 0.7× 264 1.5× 15 0.1× 113 1.1× 41 1.6k
Christoph Sauvant 650 0.7× 363 0.9× 138 0.8× 225 1.9× 54 0.5× 36 1.6k
Katherine S. Koch 828 0.9× 229 0.6× 39 0.2× 40 0.3× 103 1.0× 44 1.7k
Sosamma J. Berger 1.1k 1.1× 590 1.5× 42 0.2× 73 0.6× 19 0.2× 34 1.7k

Countries citing papers authored by David M. Truong

Since Specialization
Citations

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

Fields of papers citing papers by David M. Truong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Truong

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