Marc T. Facciotti

4.1k citations
61 papers · 2.8k indexed · h-index 25
Topics
Genomics and Phylogenetic Studies (15 papers)Photoreceptor and optogenetics research (12 papers)Microbial Community Ecology and Physiology (11 papers)

In The Last Decade

Marc T. Facciotti

61 papers receiving 2.8k citations

Peers

Marc T. Facciotti
Comparison fields: 5 of 142
  • Molecular Biology 2.0k
  • Ecology 557
  • Cellular and Molecular Neuroscience 391
  • Genetics 344
  • Plant Science 306
Replace Rainer Merkl with:
Rainer Merkl Germany
Dylan Chivian United States
Juli Peretό Spain
Vikram Alva Germany
Victor Norris France
William K. Russell United States
Damiano Piovesan Italy
Christopher J. Williams United States
Yoav Peleg Israel
Gavin Dollinger United States
Marc T. Facciotti relative to Rainer Merkl Germany Rainer Merkl's profile →
Citations per field
00.5×1.7×
Rainer Merkl · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 2
3 29
4 5
5 5
6 70
7 5
8 112
9 16
10 9
11 37
12 86
13 367
14 11
15 22
16 236
17 8
18 27
19 86
20 34

About Marc T. Facciotti

Marc T. Facciotti is a scholar working on Computer Science Applications, Cellular and Molecular Neuroscience and Molecular Biology, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Photoreceptor and optogenetics research (12 papers) and Microbial Community Ecology and Physiology (11 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Ecology (557 citations) and Cellular and Molecular Neuroscience (391 citations). Marc T. Facciotti has collaborated with scholars based in United States, Israel and United Kingdom. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Biotechnology.

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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