Lisanna Paladin

14.3k total citations · 2 hit papers
17 papers, 7.6k citations indexed

About

Lisanna Paladin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Materials Chemistry. According to data from OpenAlex, Lisanna Paladin has authored 17 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Materials Chemistry. Recurrent topics in Lisanna Paladin's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (7 papers) and Protein Structure and Dynamics (6 papers). Lisanna Paladin is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (7 papers) and Protein Structure and Dynamics (6 papers). Lisanna Paladin collaborates with scholars based in Italy, United Kingdom and Germany. Lisanna Paladin's co-authors include Silvio C. E. Tosatto, Alex Bateman, Matloob Qureshi, Jaina Mistry, Erik L. L. Sonnhammer, ROBERT FINN, Gustavo A Salazar, Lorna Richardson, Sara Chuguransky and Shriya Raj and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and FEBS Letters.

In The Last Decade

Lisanna Paladin

17 papers receiving 7.5k citations

Hit Papers

Pfam: The protein families database in 2021 2018 2026 2020 2023 2020 2018 1000 2.0k 3.0k
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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pfam: The protein families database in 2021
    2020 3.8k citations Jaina Mistry, Sara Chuguransky et al. Nucleic Acids Research profile →
  2. The Pfam protein families database in 2019
    2018 3.2k citations Sara El-Gebali, Jaina Mistry et al. Nucleic Acids Research profile →

Peers

Lisanna Paladin
Lorna Richardson United Kingdom
Penelope Coggill United States
Christopher J. Lanczycki United States
Noreen R. Gonzales United States
Raja Mazumder United States
Penny Coggill United Kingdom
Chanjuan Zheng China
Renata C. Geer United States
Young Mi Park South Korea
Gabriele H. Marchler United States
Lorna Richardson United Kingdom
Lisanna Paladin
Citations per year, relative to Lisanna Paladin Lisanna Paladin (= 1×) peers Lorna Richardson

Countries citing papers authored by Lisanna Paladin

Since Specialization
Citations

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

Fields of papers citing papers by Lisanna Paladin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisanna Paladin

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

All Works

17 of 17 papers shown
1.
2.
Paladin, Lisanna, Marco Necci, Damiano Piovesan, et al.. (2020). A novel approach to investigate the evolution of structured tandem repeat protein families by exon duplication. Journal of Structural Biology. 212(2). 107608–107608. 10 indexed citations
3.
Jarnot, Patryk, László Dobson, Matthew Merski, et al.. (2020). PlaToLoCo: the first web meta-server for visualization and annotation of low complexity regions in proteins. Nucleic Acids Research. 48(W1). W77–W84. 74 indexed citations
4.
Piovesan, Damiano, Marco Necci, Nahuel Escobedo, et al.. (2020). MobiDB: intrinsically disordered proteins in 2021. Nucleic Acids Research. 49(D1). D361–D367. 149 indexed citations
5.
Mistry, Jaina, Sara Chuguransky, Matloob Qureshi, et al.. (2020). Pfam: The protein families database in 2021. Nucleic Acids Research. 49(D1). D412–D419. 3780 indexed citations breakdown →
6.
Paladin, Lisanna, Pascale Gaudet, Monique Zahn‐Zabal, et al.. (2020). The Feature-Viewer: a visualization tool for positional annotations on a sequence. Bioinformatics. 36(10). 3244–3245. 14 indexed citations
7.
Iglesias, Valentín, Lisanna Paladin, Irantzu Pallarès, et al.. (2019). In silico Characterization of Human Prion-Like Proteins: Beyond Neurological Diseases. Frontiers in Physiology. 10. 314–314. 14 indexed citations
8.
Mier, Pablo, Lisanna Paladin, Stella Tamana, et al.. (2019). Disentangling the complexity of low complexity proteins. Briefings in Bioinformatics. 21(2). 458–472. 71 indexed citations
9.
El-Gebali, Sara, Jaina Mistry, Alex Bateman, et al.. (2018). The Pfam protein families database in 2019. Nucleic Acids Research. 47(D1). D427–D432. 3202 indexed citations breakdown →
10.
Hirsh, Layla, Lisanna Paladin, Damiano Piovesan, & Silvio C. E. Tosatto. (2018). RepeatsDB-lite: a web server for unit annotation of tandem repeat proteins. Nucleic Acids Research. 46(W1). W402–W407. 17 indexed citations
11.
Necci, Marco, Damiano Piovesan, Diego Micheletti, et al.. (2018). PhytoTypeDB: a database of plant protein inter-cultivar variability and function. Database. 2018. 5 indexed citations
12.
Piovesan, Damiano, Francesco Tabaro, Lisanna Paladin, et al.. (2017). MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins. Nucleic Acids Research. 46(D1). D471–D476. 142 indexed citations
13.
Paladin, Lisanna, Damiano Piovesan, & Silvio C. E. Tosatto. (2017). SODA: prediction of protein solubility from disorder and aggregation propensity. Nucleic Acids Research. 45(W1). W236–W240. 47 indexed citations
14.
Paladin, Lisanna, Layla Hirsh, Damiano Piovesan, et al.. (2016). RepeatsDB 2.0: improved annotation, classification, search and visualization of repeat protein structures. Nucleic Acids Research. 45(D1). D308–D312. 27 indexed citations
15.
Hirsh, Layla, Damiano Piovesan, Lisanna Paladin, & Silvio C. E. Tosatto. (2016). Identification of repetitive units in protein structures with ReUPred. Amino Acids. 48(6). 1391–1400. 10 indexed citations
16.
Paladin, Lisanna, Silvio C. E. Tosatto, & Giovanni Minervini. (2015). Structural in silico dissection of the collagen V interactome to identify genotype–phenotype correlations in classic Ehlers–Danlos Syndrome (EDS). FEBS Letters. 589(24PartB). 3871–3878. 10 indexed citations
17.
Paladin, Lisanna & Silvio C. E. Tosatto. (2015). Comparison of protein repeat classifications based on structure and sequence families. Biochemical Society Transactions. 43(5). 832–837. 10 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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