Caner Bağcı

840 total citations
14 papers, 456 citations indexed

About

Caner Bağcı is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Caner Bağcı has authored 14 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Ecology and 3 papers in Plant Science. Recurrent topics in Caner Bağcı's work include Genomics and Phylogenetic Studies (9 papers), Microbial Community Ecology and Physiology (7 papers) and Environmental DNA in Biodiversity Studies (3 papers). Caner Bağcı is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Microbial Community Ecology and Physiology (7 papers) and Environmental DNA in Biodiversity Studies (3 papers). Caner Bağcı collaborates with scholars based in Germany, Türkiye and Singapore. Caner Bağcı's co-authors include Daniel H. Huson, Rohan B. H. Williams, Irina Bessarab, Anna Górska, Sascha Patz, Jens Allmer, Dino Jolić, Sina Beier, Sofia Esquivel‐Elizondo and Byoung Seung Jeon and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Frontiers in Microbiology.

In The Last Decade

Caner Bağcı

13 papers receiving 452 citations

Peers

Caner Bağcı
Laura C. Woods Australia
L. Tushar India
Leluo Guan Canada
Caner Bağcı
Citations per year, relative to Caner Bağcı Caner Bağcı (= 1×) peers Dmitrij Turaev

Countries citing papers authored by Caner Bağcı

Since Specialization
Citations

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

Fields of papers citing papers by Caner Bağcı

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caner Bağcı

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

All Works

14 of 14 papers shown
2.
Bağcı, Caner, Luděk Sehnal, Kai Blin, et al.. (2024). BGC Atlas: a web resource for exploring the global chemical diversity encoded in bacterial genomes. Nucleic Acids Research. 53(D1). D618–D624. 13 indexed citations
3.
Chaudhry, Vasvi, Caner Bağcı, Chambers C. Hughes, et al.. (2024). Strong pairwise interactions do not drive interactions in a plant leaf associated microbial community. ISME Communications. 5(1). ycae117–ycae117. 1 indexed citations
4.
Gautam, Anupam, et al.. (2022). Using AnnoTree to Get More Assignments, Faster, in DIAMOND+MEGAN Microbiome Analysis. mSystems. 7(1). e0140821–e0140821. 31 indexed citations
5.
Bağcı, Caner, et al.. (2021). Microbial Phylogenetic Context Using Phylogenetic Outlines. Genome Biology and Evolution. 13(9). 8 indexed citations
6.
Esquivel‐Elizondo, Sofia, Caner Bağcı, Byoung Seung Jeon, et al.. (2021). The Isolate Caproiciproducens sp. 7D4C2 Produces n-Caproate at Mildly Acidic Conditions From Hexoses: Genome and rBOX Comparison With Related Strains and Chain-Elongating Bacteria. Frontiers in Microbiology. 11. 594524–594524. 71 indexed citations
7.
Bağcı, Caner, Sascha Patz, & Daniel H. Huson. (2021). DIAMOND+MEGAN: Fast and Easy Taxonomic and Functional Analysis of Short and Long Microbiome Sequences. Current Protocols. 1(3). e59–e59. 84 indexed citations
8.
Bağcı, Caner, et al.. (2020). MAIRA- real-time taxonomic and functional analysis of long reads on a laptop. BMC Bioinformatics. 21(S13). 390–390. 3 indexed citations
9.
Bağcı, Caner, Irina Bessarab, Sina Beier, et al.. (2019). Annotated bacterial chromosomes from frame-shift-corrected long-read metagenomic data. Microbiome. 7(1). 61–61. 58 indexed citations
10.
Bağcı, Caner, Sina Beier, Anna Górska, & Daniel H. Huson. (2019). Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN. Methods in molecular biology. 591–604. 27 indexed citations
11.
Huson, Daniel H., Caner Bağcı, Irina Bessarab, et al.. (2018). MEGAN-LR: new algorithms allow accurate binning and easy interactive exploration of metagenomic long reads and contigs. Biology Direct. 13(1). 6–6. 110 indexed citations
12.
Bağcı, Caner & Jens Allmer. (2016). One Step Forward, Two Steps Back; Xeno-MicroRNAs Reported in Breast Milk Are Artifacts. PLoS ONE. 11(1). e0145065–e0145065. 23 indexed citations
13.
Demirci, Müşerref Duygu Saçar, Caner Bağcı, & Jens Allmer. (2014). Computational Prediction of MicroRNAs from Toxoplasma Gondii Potentially Regulating the Hosts’ Gene Expression. Genomics Proteomics & Bioinformatics. 12(5). 228–238. 26 indexed citations
14.
Bağcı, Caner & Jens Allmer. (2012). Removing contamination from genomic sequences based on vector reference libraries. IYTE GCRIS Database (Izmir Institute of Technology). 118–122. 1 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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