Travis N. Mavrich

19 total papers · 3.5k total citations
13 papers, 2.2k citations indexed

About

Travis N. Mavrich is a scholar working on Molecular Biology, Ecology and Epidemiology. According to data from OpenAlex, Travis N. Mavrich has authored 13 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Ecology and 3 papers in Epidemiology. Recurrent topics in Travis N. Mavrich's work include Genomics and Phylogenetic Studies (7 papers), Bacteriophages and microbial interactions (7 papers) and Genomics and Chromatin Dynamics (6 papers). Travis N. Mavrich is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Bacteriophages and microbial interactions (7 papers) and Genomics and Chromatin Dynamics (6 papers). Travis N. Mavrich collaborates with scholars based in United States, Germany and China. Travis N. Mavrich's co-authors include B. Franklin Pugh, Stephan C. Schuster, Lynn P. Tomsho, István Albert, Ji Qi, Graham F. Hatfull, Cizhong Jiang, Bryan J. Venters, Sara J. Zanton and Ilya Ioshikhes and has published in prestigious journals such as Nature, Molecular Cell and Bioinformatics.

In The Last Decade

Travis N. Mavrich

13 papers receiving 2.2k citations

Hit Papers

Nucleosome organization i... 2007 2026 2013 2019 2008 2007 2008 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Travis N. Mavrich 2.0k 509 354 156 113 13 2.2k
Kenta Nakai 2.1k 1.0× 461 0.9× 193 0.5× 374 2.4× 47 0.4× 17 2.6k
Mikkel A. Algire 2.4k 1.2× 213 0.4× 305 0.9× 503 3.2× 118 1.0× 19 2.8k
Nicholas R. Pannunzio 2.0k 1.0× 337 0.7× 468 1.3× 350 2.2× 91 0.8× 26 2.5k
John T. Halladay 2.2k 1.1× 541 1.1× 164 0.5× 246 1.6× 20 0.2× 9 2.6k
Lars Kiemer 1.3k 0.6× 243 0.5× 121 0.3× 169 1.1× 96 0.8× 13 1.9k
Matthew Boitano 1.3k 0.7× 363 0.7× 312 0.9× 537 3.4× 193 1.7× 20 2.0k
Max W. Shen 1.6k 0.8× 243 0.5× 178 0.5× 365 2.3× 27 0.2× 18 1.9k
Pier Paolo Di Nocera 1.3k 0.6× 526 1.0× 141 0.4× 300 1.9× 78 0.7× 43 1.6k
Michaela Rode 1.5k 0.8× 122 0.2× 113 0.3× 149 1.0× 72 0.6× 15 1.7k
Marjorie Thomas 1.6k 0.8× 483 0.9× 462 1.3× 488 3.1× 21 0.2× 16 2.0k

Countries citing papers authored by Travis N. Mavrich

Since Specialization
Citations

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

Fields of papers citing papers by Travis N. Mavrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis N. Mavrich. 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 Travis N. Mavrich. The network helps show where Travis N. Mavrich may publish in the future.

Co-authorship network of co-authors of Travis N. Mavrich

This figure shows the co-authorship network connecting the top 25 collaborators of Travis N. Mavrich. A scholar is included among the top collaborators of Travis N. Mavrich 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 Travis N. Mavrich. Travis N. Mavrich 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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