David Mavor

616 total citations
10 papers, 289 citations indexed

About

David Mavor is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, David Mavor has authored 10 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Infectious Diseases. Recurrent topics in David Mavor's work include Protein Structure and Dynamics (3 papers), HIV Research and Treatment (2 papers) and CRISPR and Genetic Engineering (2 papers). David Mavor is often cited by papers focused on Protein Structure and Dynamics (3 papers), HIV Research and Treatment (2 papers) and CRISPR and Genetic Engineering (2 papers). David Mavor collaborates with scholars based in United States, India and Portugal. David Mavor's co-authors include Bhargavi Jayaraman, Alan D. Frankel, James S. Fraser, Lin Liu, Dorothee Kern, Michael W. Clarkson, Lukas Kenner, Dan S. Tawfik, Renee Otten and David C. Crosby and has published in prestigious journals such as Nature Communications, Biochemistry and Molecular Biology and Evolution.

In The Last Decade

David Mavor

10 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Mavor United States	8	217	74	48	47	42	10	289
David A. Rozak United States	12	232 1.1×	50 0.7×	13 0.3×	38 0.8×	32 0.8×	24	317
Anthony Semesi Canada	12	337 1.6×	89 1.2×	12 0.3×	84 1.8×	25 0.6×	26	482
Michał R. Szymański United States	12	267 1.2×	87 1.2×	11 0.2×	25 0.5×	53 1.3×	33	376
Shanyun Lu China	11	254 1.2×	103 1.4×	27 0.6×	35 0.7×	44 1.0×	15	401
N. Larrieux Uruguay	8	202 0.9×	89 1.2×	15 0.3×	24 0.5×	39 0.9×	13	319
Richard L. Felts United States	9	165 0.8×	66 0.9×	119 2.5×	64 1.4×	61 1.5×	12	383
Ekaterina Samatova Germany	14	510 2.4×	83 1.1×	10 0.2×	80 1.7×	15 0.4×	25	549
Lionel Imbert France	11	306 1.4×	51 0.7×	6 0.1×	39 0.8×	22 0.5×	17	385
Josephine Abi‐Ghanem France	9	293 1.4×	75 1.0×	32 0.7×	14 0.3×	22 0.5×	15	369
Jamie A. Wibbenmeyer United States	7	234 1.1×	50 0.7×	9 0.2×	18 0.4×	15 0.4×	8	367

Countries citing papers authored by David Mavor

Since Specialization

Citations

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

Fields of papers citing papers by David Mavor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mavor

This figure shows the co-authorship network connecting the top 25 collaborators of David Mavor. A scholar is included among the top collaborators of David Mavor 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 Mavor. David Mavor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Mathy, Christopher J.P., Parul Mishra, Julia M. Flynn, et al.. (2023). A complete allosteric map of a GTPase switch in its native cellular network. Cell Systems. 14(3). 237–246.e7. 15 indexed citations

2.

Mavor, David, et al.. (2023). Systematic profiling of dominant ubiquitin variants reveals key functional nodes contributing to evolutionary selection. Cell Reports. 42(9). 113064–113064. 5 indexed citations

3.

Flynn, Julia M., et al.. (2021). Analyses of HIV proteases variants at the threshold of viability reveals relationships between processing efficiency and fitness. Virus Evolution. 7(2). veab103–veab103. 3 indexed citations

4.

Fragata, Inês, Julia M. Flynn, David Mavor, et al.. (2020). The Adaptive Potential of the Middle Domain of Yeast Hsp90. Molecular Biology and Evolution. 38(2). 368–379. 7 indexed citations

5.

Flynn, Julia M., et al.. (2020). Comprehensive fitness maps of Hsp90 show widespread environmental dependence. eLife. 9. 42 indexed citations

6.

Otten, Renee, Lin Liu, Lukas Kenner, et al.. (2018). Rescue of conformational dynamics in enzyme catalysis by directed evolution. Nature Communications. 9(1). 1314–1314. 96 indexed citations

7.

Jayaraman, Bhargavi, David Mavor, John D. Gross, & Alan D. Frankel. (2015). Thermodynamics of Rev–RNA Interactions in HIV-1 Rev–RRE Assembly. Biochemistry. 54(42). 6545–6554. 16 indexed citations

8.

Jayaraman, Bhargavi, David C. Crosby, Christina M. Homer, et al.. (2014). RNA-directed remodeling of the HIV-1 protein Rev orchestrates assembly of the Rev–Rev response element complex. eLife. 3. e04120–e04120. 61 indexed citations

9.

Mellies, Jay L., et al.. (2011). Ler of pathogenic Escherichia coli forms toroidal protein–DNA complexes. Microbiology. 157(4). 1123–1133. 23 indexed citations

10.

Mellies, Jay L., et al.. (2008). Ler interdomain linker is essential for anti-silencing activity in enteropathogenic Escherichia coli. Microbiology. 154(12). 3624–3638. 21 indexed citations

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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