Mihaela Pertea

134 total papers · 49.9k total citations
44 papers, 19.5k citations indexed

About

Mihaela Pertea is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Mihaela Pertea has authored 44 papers receiving a total of 19.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Mihaela Pertea's work include Genomics and Phylogenetic Studies (31 papers), RNA and protein synthesis mechanisms (23 papers) and RNA modifications and cancer (10 papers). Mihaela Pertea is often cited by papers focused on Genomics and Phylogenetic Studies (31 papers), RNA and protein synthesis mechanisms (23 papers) and RNA modifications and cancer (10 papers). Mihaela Pertea collaborates with scholars based in United States, Italy and South Korea. Mihaela Pertea's co-authors include Steven L. Salzberg, Geo Pertea, Joshua T. Mendell, Tsung-Cheng Chang, Corina Antonescu, Daehwan Kim, Jeffrey T. Leek, William H. Majoros, Jonathan Allen and C. Robin Buell and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Mihaela Pertea

44 papers receiving 19.4k citations

Hit Papers

StringTie enables improve... 2004 2026 2011 2018 2015 2016 2008 2004 2019 2.5k 5.0k 7.5k
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads
    2015 8.3k citations Mihaela Pertea, Geo Pertea et al. Nature Biotechnology profile →
  2. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown
    2016 4.4k citations Mihaela Pertea, Daehwan Kim et al. Nature Protocols profile →
  3. Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignments
    2008 2.3k citations Brian J. Haas, Steven L. Salzberg et al. Genome biology profile →
  4. TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders
    2004 1.2k citations William H. Majoros, Mihaela Pertea et al. Bioinformatics profile →
  5. Transcriptome assembly from long-read RNA-seq alignments with StringTie2
    2019 1.0k citations Sam Kovaka, Aleksey V. Zimin et al. Genome biology profile →
  6. Defective HIV-1 Proviruses Are Expressed and Can Be Recognized by Cytotoxic T Lymphocytes, which Shape the Proviral Landscape
    2017 249 citations Ross A. Pollack, R. Brad Jones et al. Cell Host & Microbe profile →
  7. Improved transcriptome assembly using a hybrid of long and short reads with StringTie
    2022 208 citations Alaina Shumate, Brandon Wong et al. PLoS Computational Biology profile →
  8. Major data analysis errors invalidate cancer microbiome findings
    2023 97 citations Abraham Gihawi, Yuchen Ge et al. mBio profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mihaela Pertea 11.8k 6.5k 3.0k 2.5k 1.6k 44 19.5k
Colin N. Dewey 10.9k 0.9× 4.2k 0.6× 2.9k 1.0× 2.3k 0.9× 2.1k 1.3× 52 19.0k
Brian A. Williams 16.7k 1.4× 6.1k 0.9× 3.2k 1.1× 4.1k 1.6× 2.0k 1.3× 34 25.3k
Bo Li 9.8k 0.8× 3.7k 0.6× 1.8k 0.6× 2.3k 0.9× 2.3k 1.4× 68 17.5k
Harold Pimentel 16.3k 1.4× 6.3k 1.0× 3.3k 1.1× 4.1k 1.6× 2.8k 1.7× 21 26.2k
Ira M. Hall 16.4k 1.4× 5.7k 0.9× 5.8k 1.9× 3.3k 1.3× 1.2k 0.7× 37 22.7k
Jan Hellemans 10.2k 0.9× 2.7k 0.4× 2.2k 0.7× 2.1k 0.8× 1.6k 1.0× 50 19.3k
Alicia Oshlack 11.8k 1.0× 3.2k 0.5× 2.8k 0.9× 2.8k 1.1× 1.9k 1.2× 98 18.6k
John Tate 13.9k 1.2× 5.1k 0.8× 2.5k 0.8× 1.6k 0.7× 974 0.6× 23 20.2k
Ruiqiang Li 9.6k 0.8× 4.4k 0.7× 2.7k 0.9× 1.4k 0.5× 823 0.5× 79 15.2k
A Mortazavi 19.7k 1.7× 6.8k 1.0× 3.6k 1.2× 4.7k 1.9× 2.6k 1.6× 98 29.6k

Countries citing papers authored by Mihaela Pertea

Since Specialization
Citations

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

Fields of papers citing papers by Mihaela Pertea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mihaela Pertea

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

All Works

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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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