Mihaela Pertea
- Molecular Biology top 0.2%
- Plant Science top 0.1%
- Genetics top 0.5%
- Cancer Research top 0.5%
- Immunology top 1%
- Co-authors
- Steven L. SalzbergGeo PerteaTsung-Cheng ChangJoshua T. MendellCorina AntonescuJeffrey T. LeekDaehwan KimWilliam H. Majoros
- Topics
- Genomics and Phylogenetic Studies (31 papers)RNA and protein synthesis mechanisms (23 papers)RNA modifications and cancer (10 papers)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Mihaela Pertea
44 papers receiving 19.7k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Molecular Biology 12.0k
- Plant Science 6.6k
- Genetics 3.0k
- Cancer Research 2.5k
- Immunology 1.6k
Countries citing papers authored by Mihaela Pertea
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | Major data analysis errors invalidate cancer microbiome findingsbreakdown → | 99 |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 90 | |
| 11 | Transcriptome assembly from long-read RNA-seq alignments with StringTie2breakdown → | 1057 |
| 12 | 170 | |
| 13 | Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgownbreakdown → | 4416 |
| 14 | StringTie enables improved reconstruction of a transcriptome from RNA-seq readsbreakdown → | 8492 |
| 15 | 133 | |
| 16 | Automated eukaryotic gene structure annotation using EVidenceModeler and the Program to Assemble Spliced Alignmentsbreakdown → | 2294 |
| 17 | 78 | |
| 18 | 44 | |
| 19 | 22 | |
| 20 | 143 |
About Mihaela Pertea
Mihaela Pertea is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 44 papers that have together received 19.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (31 papers), RNA and protein synthesis mechanisms (23 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Plant Science (6.6k citations), Molecular Biology (12.0k citations) and Cancer Research (2.5k citations). Mihaela Pertea has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Steven L. Salzberg, Geo Pertea, Tsung-Cheng Chang, Joshua T. Mendell, Corina Antonescu, Jeffrey T. Leek, Daehwan Kim, William H. Majoros, Jonathan Allen and C. Robin Buell. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.
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.