Ioanna Kalvari

6.4k total citations · 2 hit papers
8 papers, 1.7k citations indexed

About

Ioanna Kalvari is a scholar working on Molecular Biology, Computational Theory and Mathematics and Information Systems and Management. According to data from OpenAlex, Ioanna Kalvari has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 1 paper in Information Systems and Management. Recurrent topics in Ioanna Kalvari's work include Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (2 papers) and Computational Drug Discovery Methods (2 papers). Ioanna Kalvari is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (2 papers) and Computational Drug Discovery Methods (2 papers). Ioanna Kalvari collaborates with scholars based in United Kingdom, United States and Cyprus. Ioanna Kalvari's co-authors include Joanna Argasinska, Alex Bateman, Eric P. Nawrocki, ROBERT FINN, Anton I. Petrov, Natalia Quinones‐Olvera, Elena Rivas, Sean R. Eddy, Nancy Ontiveros‐Palacios and Claire Toffano‐Nioche and has published in prestigious journals such as Nucleic Acids Research, Autophagy and Current Protocols in Bioinformatics.

In The Last Decade

Ioanna Kalvari

8 papers receiving 1.7k citations

Hit Papers

Rfam 13.0: shifting to a genome-centric resource for non-... 2017 2026 2020 2023 2017 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ioanna Kalvari United Kingdom 5 1.2k 437 243 234 180 8 1.7k
Anna I. Rissman United States 6 962 0.8× 395 0.9× 184 0.8× 192 0.8× 80 0.4× 6 1.6k
Josep F. Abril Spain 22 1.7k 1.4× 372 0.9× 236 1.0× 217 0.9× 103 0.6× 43 2.3k
Joanna Argasinska United Kingdom 8 1.2k 1.0× 402 0.9× 243 1.0× 237 1.0× 41 0.2× 9 1.6k
Xuan Li China 20 870 0.7× 467 1.1× 106 0.4× 93 0.4× 99 0.6× 77 1.5k
Anton I. Petrov United States 14 1.8k 1.5× 485 1.1× 317 1.3× 272 1.2× 46 0.3× 24 2.3k
Aaron M. Berlin United States 12 1.6k 1.3× 621 1.4× 756 3.1× 190 0.8× 104 0.6× 13 2.3k
Tobias Dezulian Germany 7 1000 0.8× 855 2.0× 182 0.7× 121 0.5× 82 0.5× 9 1.8k
Lydia Steiner Germany 9 983 0.8× 192 0.4× 283 1.2× 93 0.4× 72 0.4× 9 1.4k
Lin Fang China 7 1.0k 0.9× 604 1.4× 245 1.0× 143 0.6× 49 0.3× 11 1.9k
Leszek P. Pryszcz Spain 18 1.1k 1.0× 323 0.7× 103 0.4× 182 0.8× 157 0.9× 36 1.5k

Countries citing papers authored by Ioanna Kalvari

Since Specialization
Citations

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

Fields of papers citing papers by Ioanna Kalvari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioanna Kalvari

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

All Works

8 of 8 papers shown
1.
Kalvari, Ioanna, Nicholas C. Price, Θεοδόσιος Θεοδοσίου, et al.. (2023). LIRcentral: a manually curated online database of experimentally validated functional LIR motifs. Autophagy. 19(12). 3189–3200. 12 indexed citations
2.
Kalvari, Ioanna, Eric P. Nawrocki, Nancy Ontiveros‐Palacios, et al.. (2020). Rfam 14: expanded coverage of metagenomic, viral and microRNA families. Nucleic Acids Research. 49(D1). D192–D200. 584 indexed citations breakdown →
3.
Kalvari, Ioanna, Eric P. Nawrocki, Joanna Argasinska, et al.. (2018). Non‐Coding RNA Analysis Using the Rfam Database. Current Protocols in Bioinformatics. 62(1). e51–e51. 285 indexed citations
4.
Kalvari, Ioanna, Joanna Argasinska, Natalia Quinones‐Olvera, et al.. (2017). Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families. Nucleic Acids Research. 46(D1). D335–D342. 639 indexed citations breakdown →
5.
Kannas, Christos, Ioanna Kalvari, George Lambrinidis, et al.. (2015). LiSIs: An Online Scientific Workflow System for Virtual Screening. Combinatorial Chemistry & High Throughput Screening. 18(3). 281–295. 1 indexed citations
6.
Kalvari, Ioanna, et al.. (2014). iLIR. Autophagy. 10(5). 913–925. 168 indexed citations
7.
Kannas, Christos, Christos A. Nicolaou, Constantinos S. Pattichis, et al.. (2012). A workflow system for virtual screening in cancer chemoprevention. Zenodo (CERN European Organization for Nuclear Research). 439–446. 4 indexed citations
8.
Αντωνιάδης, Άθως, Ioanna Kalvari, Constantinos S. Pattichis, et al.. (2009). Discovering genetic polymorphism associated with gene expression levels across the whole genome. PubMed. 2009. 5466–5469. 1 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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