Pierre Barbera

2.2k total citations · 3 hit papers
10 papers, 1.1k citations indexed

About

Pierre Barbera is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Pierre Barbera has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Ecology and 1 paper in Infectious Diseases. Recurrent topics in Pierre Barbera's work include Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (5 papers) and Protist diversity and phylogeny (3 papers). Pierre Barbera is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (5 papers) and Protist diversity and phylogeny (3 papers). Pierre Barbera collaborates with scholars based in Germany, United States and United Kingdom. Pierre Barbera's co-authors include Lucas Czech, Alexandros Stamatakis, Alexey M. Kozlov, Benoît Morel, Diego Darriba, Tomáš Flouri, Anton Korobeynikov, Basem Al-Shayeb, R. C. Edgar and Rayan Chikhi and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Pierre Barbera

10 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences

2018 398 citations Pierre Barbera, Alexey M. Kozlov et al. Systematic Biology profile →
Petabase-scale sequence alignment catalyses viral discovery

2022 264 citations R. C. Edgar, Victor S.-Y. Lin et al. Nature profile →
Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data

2020 216 citations Lucas Czech, Pierre Barbera et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pierre Barbera Germany	9	573	528	245	147	99	10	1.1k
Isabell Flade Germany	3	594 1.0×	540 1.0×	202 0.8×	148 1.0×	99 1.0×	5	1.3k
Rewati Tappu Germany	6	683 1.2×	557 1.1×	201 0.8×	130 0.9×	91 0.9×	7	1.4k
Sina Beier Germany	8	653 1.1×	589 1.1×	232 0.9×	149 1.0×	108 1.1×	11	1.4k
Migun Shakya United States	12	688 1.2×	530 1.0×	322 1.3×	93 0.6×	79 0.8×	21	1.3k
Lucas Czech Germany	13	689 1.2×	614 1.2×	213 0.9×	96 0.7×	177 1.8×	21	1.3k
Mohamed El-Hadidi Egypt	11	721 1.3×	638 1.2×	257 1.0×	186 1.3×	113 1.1×	40	1.8k
Kim Lee Ng Denmark	8	739 1.3×	580 1.1×	176 0.7×	140 1.0×	73 0.7×	12	1.6k
Brian Bushnell United States	9	1.1k 1.9×	755 1.4×	302 1.2×	167 1.1×	222 2.2×	13	1.9k
Supratim Mukherjee United States	13	1.1k 1.9×	756 1.4×	300 1.2×	68 0.5×	100 1.0×	28	1.6k
Joy Yang United States	7	1.1k 2.0×	1.3k 2.4×	158 0.6×	213 1.4×	106 1.1×	9	2.2k

Countries citing papers authored by Pierre Barbera

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Barbera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Barbera

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Barbera. A scholar is included among the top collaborators of Pierre Barbera 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 Pierre Barbera. Pierre Barbera 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.

Edgar, R. C., Victor S.-Y. Lin, Tomer Altman, et al.. (2022). Petabase-scale sequence alignment catalyses viral discovery. Nature. 602(7895). 142–147. 264 indexed citations breakdown →

2.

Czech, Lucas, Alexandros Stamatakis, Micah Dunthorn, & Pierre Barbera. (2022). Metagenomic Analysis using Phylogenetic Placement -- A Review of the First Decade. arXiv (Cornell University). 36 indexed citations

3.

Czech, Lucas, Alexandros Stamatakis, Micah Dunthorn, & Pierre Barbera. (2022). Metagenomic Analysis Using Phylogenetic Placement—A Review of the First Decade. SHILAP Revista de lepidopterología. 2. 871393–871393. 1 indexed citations

4.

Czech, Lucas, Pierre Barbera, & Alexandros Stamatakis. (2020). Genesis and Gappa: processing, analyzing and visualizing phylogenetic (placement) data. Bioinformatics. 36(10). 3263–3265. 216 indexed citations breakdown →

5.

Barbera, Pierre, Lucas Czech, Sarah Lutteropp, & Alexandros Stamatakis. (2020). SCRAPP : A tool to assess the diversity of microbial samples from phylogenetic placements. Molecular Ecology Resources. 21(1). 340–349. 9 indexed citations

6.

Morel, Benoît, Pierre Barbera, Lucas Czech, et al.. (2020). Phylogenetic Analysis of SARS-CoV-2 Data Is Difficult. Molecular Biology and Evolution. 38(5). 1777–1791. 87 indexed citations

7.

Jamy, Mahwash, Rachel Foster, Pierre Barbera, et al.. (2019). Long‐read metabarcoding of the eukaryotic rDNA operon to phylogenetically and taxonomically resolve environmental diversity. Molecular Ecology Resources. 20(2). 429–443. 79 indexed citations

8.

Czech, Lucas, Pierre Barbera, & Alexandros Stamatakis. (2018). Methods for automatic reference trees and multilevel phylogenetic placement. Bioinformatics. 35(7). 1151–1158. 23 indexed citations

9.

Barbera, Pierre, Alexey M. Kozlov, Lucas Czech, et al.. (2018). EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences. Systematic Biology. 68(2). 365–369. 398 indexed citations breakdown →

10.

Budde, Matthias, et al.. (2013). Retrofitting smartphones to be used as particulate matter dosimeters. 139–140. 19 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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