Tanya Berardini
- Molecular Biology top 2%
- Plant Science top 0.5%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Artificial Intelligence top 10%
- Co-authors
- Eva HualaDonghui LiM. Garcia-HernandezLeonore ReiserDavid SwarbreckChristopher WilksRobert MüllerShanker K. Singh
- Topics
- Biomedical Text Mining and Ontologies (17 papers)Bioinformatics and Genomic Networks (17 papers)Genomics and Phylogenetic Studies (14 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Tanya Berardini
35 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 3.6k
- Plant Science 2.9k
- Genetics 427
- Ecology, Evolution, Behavior and Systematics 186
- Artificial Intelligence 182
Countries citing papers authored by Tanya Berardini
This map shows the geographic impact of Tanya Berardini'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 Tanya Berardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanya Berardini more than expected).
Fields of papers citing papers by Tanya Berardini
This network shows the impact of papers produced by Tanya Berardini. 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 Tanya Berardini. The network helps show where Tanya Berardini may publish in the future.
Co-authorship network of co-authors of Tanya Berardini
This figure shows the co-authorship network connecting the top 25 collaborators of Tanya Berardini. A scholar is included among the top collaborators of Tanya Berardini 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 Tanya Berardini. Tanya Berardini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 45 | |
| 2 | 6 | |
| 3 | 20 | |
| 4 | 0 | |
| 5 | 9 | |
| 6 | 27 | |
| 7 | 40 | |
| 8 | 36 | |
| 9 | 7 | |
| 10 | 49 | |
| 11 | 74 | |
| 12 | 28 | |
| 13 | 13 | |
| 14 | 28 | |
| 15 | 89 | |
| 16 | 15 | |
| 17 | The Arabidopsis Information Resource (TAIR): gene structure and function annotationbreakdown → | 774 |
| 18 | 26 | |
| 19 | 7 | |
| 20 | 16 |
About Tanya Berardini
Tanya Berardini is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science, having authored 36 papers that have together received 4.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Bioinformatics and Genomic Networks (17 papers) and Genomics and Phylogenetic Studies (14 papers). The work is most often cited by research in Plant Science (2.9k citations), Molecular Biology (3.6k citations) and Horticulture (29 citations). Tanya Berardini has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Eva Huala, Donghui Li, M. Garcia-Hernandez, Leonore Reiser, David Swarbreck, Christopher Wilks, Robert Müller, Shanker K. Singh, Robert Müller and Rajkumar Sasidharan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.