Marc T. Facciotti

4.1k total citations
61 papers, 2.8k citations indexed

About

Marc T. Facciotti is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Marc T. Facciotti has authored 61 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 13 papers in Ecology. Recurrent topics in Marc T. Facciotti's work include Genomics and Phylogenetic Studies (15 papers), Photoreceptor and optogenetics research (12 papers) and Microbial Community Ecology and Physiology (11 papers). Marc T. Facciotti is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Photoreceptor and optogenetics research (12 papers) and Microbial Community Ecology and Physiology (11 papers). Marc T. Facciotti collaborates with scholars based in United States, Israel and United Kingdom. Marc T. Facciotti's co-authors include Jonathan A. Eisen, Elizabeth G. Wilbanks, Aaron E. Darling, Nitin S. Baliga, Andrew Tritt, David J. Reiss, Leroy Hood, Richard Bonneau, Paul Shannon and Robert M. Glaeser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Marc T. Facciotti

61 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc T. Facciotti United States 25 2.0k 557 391 344 306 61 2.8k
Dmitry Kuznetsov Russia 24 2.3k 1.1× 288 0.5× 204 0.5× 510 1.5× 531 1.7× 73 3.8k
Silvano Squizzato United Kingdom 8 2.2k 1.1× 381 0.7× 149 0.4× 472 1.4× 565 1.8× 8 3.6k
Hanna S. Yuan Taiwan 35 2.5k 1.2× 286 0.5× 135 0.3× 559 1.6× 237 0.8× 103 3.7k
Stéphane M. Gagné Canada 30 1.6k 0.8× 384 0.7× 213 0.5× 168 0.5× 330 1.1× 66 3.0k
Rainer Merkl Germany 33 2.7k 1.3× 455 0.8× 232 0.6× 475 1.4× 355 1.2× 105 3.8k
Zongli Li United States 28 1.6k 0.8× 285 0.5× 214 0.5× 285 0.8× 238 0.8× 56 3.2k
Christopher J. Williams United States 17 2.8k 1.4× 408 0.7× 172 0.4× 429 1.2× 260 0.8× 33 4.4k
Konstantin Schütze Germany 6 3.5k 1.7× 485 0.9× 227 0.6× 590 1.7× 536 1.8× 9 5.1k
José B. Pereira‐Leal Portugal 33 3.7k 1.8× 326 0.6× 153 0.4× 629 1.8× 426 1.4× 69 4.9k
Peter Maček Slovenia 46 3.2k 1.6× 382 0.7× 178 0.5× 768 2.2× 296 1.0× 111 5.4k

Countries citing papers authored by Marc T. Facciotti

Since Specialization
Citations

This map shows the geographic impact of Marc T. Facciotti'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 Marc T. Facciotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc T. Facciotti more than expected).

Fields of papers citing papers by Marc T. Facciotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc T. Facciotti. 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 Marc T. Facciotti. The network helps show where Marc T. Facciotti may publish in the future.

Co-authorship network of co-authors of Marc T. Facciotti

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

All Works

20 of 20 papers shown
1.
Facciotti, Marc T., et al.. (2024). #let’s-discuss: Analyzing Students’ Use of Emoji when Interacting with Course Readings. International Journal of Artificial Intelligence in Education. 35(3). 1064–1095. 1 indexed citations
2.
Yao, Andrew I., et al.. (2020). The Exploration of Novel Regulatory Relationships Drives Haloarchaeal Operon-Like Structural Dynamics over Short Evolutionary Distances. Microorganisms. 8(12). 1900–1900. 1 indexed citations
3.
Easlon, Erin, et al.. (2017). The Effects of Practice-Based Training on Graduate Teaching Assistants’ Classroom Practices. CBE—Life Sciences Education. 16(4). ar58–ar58. 29 indexed citations
4.
Zhang, Amy X., Michele M. Igo, Marc T. Facciotti, & David R. Karger. (2017). Using Student Annotated Hashtags and Emojis to Collect Nuanced Affective States. 319–322. 12 indexed citations
5.
6.
Persson, Tomas, Kai Battenberg, Theoden Vigil-Stenman, et al.. (2015). Candidatus Frankia Datiscae Dg1, the Actinobacterial Microsymbiont of Datisca glomerata, Expresses the Canonical nod Genes nodABC in Symbiosis with Its Host Plant. PLoS ONE. 10(5). e0127630–e0127630. 70 indexed citations
7.
Yao, Andrew I., et al.. (2015). Identification of an archaeal mercury regulon by chromatin immunoprecipitation. Microbiology. 161(12). 2423–2433. 5 indexed citations
8.
Rai, Navneet, Aura Ferreiro, Andrew I. Yao, et al.. (2015). RiboTALE: A modular, inducible system for accurate gene expression control. Scientific Reports. 5(1). 10658–10658. 5 indexed citations
9.
Plaisier, Christopher, J. R. Ashworth, Aaron N. Brooks, et al.. (2014). Evolution of context dependent regulation by expansion of feast/famine regulatory proteins. BMC Systems Biology. 8(1). 122–122. 16 indexed citations
10.
Tritt, Andrew, David Larsen, Andrew I. Yao, et al.. (2014). Phylogenetically Driven Sequencing of Extremely Halophilic Archaea Reveals Strategies for Static and Dynamic Osmo-response. PLoS Genetics. 10(11). e1004784–e1004784. 112 indexed citations
11.
Warnecke, Tobias, et al.. (2013). Conserved Substitution Patterns around Nucleosome Footprints in Eukaryotes and Archaea Derive from Frequent Nucleosome Repositioning through Evolution. PLoS Computational Biology. 9(11). e1003373–e1003373. 12 indexed citations
12.
Langille, Morgan G. I., Aaron E. Darling, Elizabeth G. Wilbanks, et al.. (2012). Sequencing of Seven Haloarchaeal Genomes Reveals Patterns of Genomic Flux. PLoS ONE. 7(7). e41389–e41389. 37 indexed citations
13.
Yao, Andrew I. & Marc T. Facciotti. (2011). Regulatory Multidimensionality of Gas Vesicle Biogenesis inHalobacterium salinarumNRC-1. Archaea. 2011. 1–13. 9 indexed citations
14.
Koide, Tie, David J. Reiss, J Christopher Bare, et al.. (2009). Prevalence of transcription promoters within archaeal operons and coding sequences. Molecular Systems Biology. 5(1). 101 indexed citations
15.
Reiss, David J., Marc T. Facciotti, & Nitin S. Baliga. (2007). Model-based deconvolution of genome-wide DNA binding. Bioinformatics. 24(3). 396–403. 37 indexed citations
16.
Kaur, Amardeep, et al.. (2006). A systems view of haloarchaeal strategies to withstand stress from transition metals. Genome Research. 16(7). 841–854. 86 indexed citations
17.
Bonneau, Richard, David J. Reiss, Paul Shannon, et al.. (2006). The Inferelator: an algorithm for learning parsimonious regulatory networks from systems-biology data sets de novo. Genome biology. 7(5). R36–R36. 367 indexed citations
18.
Baliga, Nitin S., Richard Bonneau, Marc T. Facciotti, et al.. (2004). Genome sequence of Haloarcula marismortui: A halophilic archaeon from the Dead Sea. Genome Research. 14(11). 2221–2234. 236 indexed citations
19.
Facciotti, Marc T., Richard Bonneau, Leroy Hood, & Nitin S. Baliga. (2004). Systems Biology Experimental Design - Considerations for Building Predictive Gene Regulatory Network Models for Prokaryotic Systems. Current Genomics. 5(7). 527–544. 13 indexed citations
20.
Rouhani, Shahab, Jean‐Philippe Cartailler, Marc T. Facciotti, et al.. (2001). Crystal structure of the D85S mutant of bacteriorhodopsin: model of an O-like photocycle intermediate. Journal of Molecular Biology. 313(3). 615–628. 86 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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