Tanya Berardini

22.1k total citations · 3 hit papers
36 papers, 4.9k citations indexed

About

Tanya Berardini is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Tanya Berardini has authored 36 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Plant Science. Recurrent topics in Tanya Berardini's work include Biomedical Text Mining and Ontologies (17 papers), Bioinformatics and Genomic Networks (17 papers) and Genomics and Phylogenetic Studies (14 papers). Tanya Berardini is often cited by papers focused on Biomedical Text Mining and Ontologies (17 papers), Bioinformatics and Genomic Networks (17 papers) and Genomics and Phylogenetic Studies (14 papers). Tanya Berardini collaborates with scholars based in United States, United Kingdom and Switzerland. Tanya Berardini's co-authors include Eva Huala, Donghui Li, M. Garcia-Hernandez, Christopher Wilks, Leonore Reiser, David Swarbreck, Robert Müller, Rajkumar Sasidharan, Kate Dreher and Robert Müller and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tanya Berardini

35 papers receiving 4.8k citations

Hit Papers

The Arabidopsis Informati... 2007 2026 2013 2019 2011 2007 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanya Berardini United States 21 3.6k 2.9k 427 186 182 36 4.9k
Eva Huala United States 24 4.6k 1.3× 4.2k 1.4× 648 1.5× 274 1.5× 165 0.9× 33 6.3k
Marie‐Laure Martin‐Magniette France 27 2.3k 0.6× 2.4k 0.8× 221 0.5× 106 0.6× 183 1.0× 63 3.8k
Wojciech M. Karłowski Poland 25 2.2k 0.6× 2.8k 0.9× 271 0.6× 131 0.7× 58 0.3× 78 3.7k
Pierre Rouzé Belgium 38 4.0k 1.1× 2.8k 0.9× 387 0.9× 110 0.6× 136 0.7× 76 5.5k
Christopher Wilks United States 11 2.4k 0.7× 1.7k 0.6× 336 0.8× 127 0.7× 49 0.3× 16 3.3k
Tatsuya Sakai Japan 40 4.2k 1.2× 4.7k 1.6× 517 1.2× 162 0.9× 39 0.2× 94 6.5k
Andrew Farmer United States 44 1.9k 0.5× 4.6k 1.6× 708 1.7× 408 2.2× 89 0.5× 109 5.8k
Lars Hennig Sweden 52 7.8k 2.2× 7.9k 2.7× 494 1.2× 274 1.5× 234 1.3× 116 10.5k
Jens Keilwagen Germany 26 1.7k 0.5× 1.3k 0.5× 573 1.3× 202 1.1× 99 0.5× 77 2.9k
Li‐Qing Chen United States 30 2.5k 0.7× 6.2k 2.1× 149 0.3× 172 0.9× 70 0.4× 60 7.3k

Countries citing papers authored by Tanya Berardini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Reiser, Leonore, et al.. (2024). The Arabidopsis Information Resource in 2024. Genetics. 227(1). 45 indexed citations
2.
Clarke, Jennifer, Laurel Cooper, Monica F. Poelchau, et al.. (2023). Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the Agbiodata Consortium. Database. 2023. 6 indexed citations
3.
Attrill, Helen, Pascale Gaudet, Rachael P. Huntley, et al.. (2019). Annotation of gene product function from high-throughput studies using the Gene Ontology. Database. 2019. 20 indexed citations
4.
Reiser, Leonore, Tanya Berardini, Donghui Li, et al.. (2016). Sustainable funding for biocuration: The Arabidopsis Information Resource (TAIR) as a case study of a subscription-based funding model. Database. 2016. baw018–baw018. 32 indexed citations
6.
Berardini, Tanya, Rebecca E. Foulger, David P. Hill, et al.. (2014). TermGenie – a web-application for pattern-based ontology class generation. Journal of Biomedical Semantics. 5(1). 48–48. 27 indexed citations
7.
Hill, David P., Nico Adams, Colin Batchelor, et al.. (2013). Dovetailing biology and chemistry: integrating the Gene Ontology with the ChEBI chemical ontology. BMC Genomics. 14(1). 513–513. 40 indexed citations
8.
Roncaglia, Paola, Maryann E. Martone, David P. Hill, et al.. (2013). The Gene Ontology (GO) Cellular Component Ontology: integration with SAO (Subcellular Anatomy Ontology) and other recent developments. Journal of Biomedical Semantics. 4(1). 20–20. 36 indexed citations
9.
Li, Donghui, Kate Dreher, Emma M. Knee, et al.. (2013). Arabidopsis Database and Stock Resources. Methods in molecular biology. 1062. 65–96. 7 indexed citations
10.
Berardini, Tanya, et al.. (2012). Assessment of community-submitted ontology annotations from a novel database-journal partnership. Database. 2012(0). bas030–bas030. 14 indexed citations
11.
Burge, Sarah, Teresa K. Attwood, Alex Bateman, et al.. (2012). Biocurators and Biocuration: surveying the 21st century challenges. Database. 2012(0). bar059–bar059. 49 indexed citations
12.
Wei, Chih-Hsuan, Bethany Harris, Donghui Li, et al.. (2012). Accelerating literature curation with text-mining tools: a case study of using PubTator to curate genes in PubMed abstracts. Database. 2012(0). bas041–bas041. 74 indexed citations
13.
Auken, Kimberly Van, Petra Fey, Tanya Berardini, et al.. (2012). Text mining in the biocuration workflow: applications for literature curation at WormBase, dictyBase and TAIR. Database. 2012(0). bas040–bas040. 28 indexed citations
14.
Mungall, Chris, Michael Bada, Tanya Berardini, et al.. (2010). Cross-product extensions of the Gene Ontology. Journal of Biomedical Informatics. 44(1). 80–86. 89 indexed citations
15.
Hill, David P., et al.. (2009). Representing ontogeny through ontology: A developmental biologist's guide to the gene ontology. Molecular Reproduction and Development. 77(4). 314–329. 15 indexed citations
16.
Swarbreck, David, Christopher Wilks, P. Lamesch, et al.. (2007). The Arabidopsis Information Resource (TAIR): gene structure and function annotation. Nucleic Acids Research. 36(Database). D1009–D1014. 774 indexed citations breakdown →
17.
Aukerman, Milo J., et al.. (2003). HASTY, theArabidopsisortholog of exportin 5/MSN5, regulates phase change and morphogenesis. Development. 130(8). 1493–1504. 225 indexed citations
18.
Pezza, John A., Kyung H. Choi, Tanya Berardini, et al.. (2003). Spatial Clustering of Isozyme-specific Residues Reveals Unlikely Determinants of Isozyme Specificity in Fructose-1,6-bisphosphate Aldolase. Journal of Biological Chemistry. 278(19). 17307–17313. 26 indexed citations
19.
Berardini, Tanya, et al.. (1999). Identification of conserved promoter elements for aldB and isozyme specific residues in aldolase B. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 122(1). 53–61. 7 indexed citations
20.
Berardini, Tanya, et al.. (1997). Identification of Neuronal Isozyme Specific Residues by Comparison of Goldfish Aldolase C to Other Aldolases. Comparative Biochemistry and Physiology Part A Physiology. 117(4). 471–476. 16 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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