Laura Orellana

1.3k total citations
20 papers, 612 citations indexed

About

Laura Orellana is a scholar working on Molecular Biology, Materials Chemistry and Cancer Research. According to data from OpenAlex, Laura Orellana has authored 20 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Materials Chemistry and 3 papers in Cancer Research. Recurrent topics in Laura Orellana's work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Cancer Genomics and Diagnostics (2 papers). Laura Orellana is often cited by papers focused on Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Cancer Genomics and Diagnostics (2 papers). Laura Orellana collaborates with scholars based in Sweden, Spain and United States. Laura Orellana's co-authors include Modesto Orozco, Oliver Carrillo, Erik Lindahl, Manuel Rueda, Josep Lluís Gelpí, R. Bryn Fenwick, Agustí Emperador, Santi Esteban-Martín, Xavier Salvatella and Rei Matsuoka and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Laura Orellana

18 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Orellana Sweden 13 502 153 64 55 54 20 612
Roman V. Agafonov United States 13 658 1.3× 187 1.2× 68 1.1× 47 0.9× 66 1.2× 22 839
Gregory M. Lee United States 14 728 1.5× 156 1.0× 62 1.0× 66 1.2× 101 1.9× 21 948
Neelan J. Marianayagam United States 9 458 0.9× 131 0.9× 50 0.8× 21 0.4× 41 0.8× 53 750
Narendra Narayana United States 16 701 1.4× 207 1.4× 44 0.7× 80 1.5× 52 1.0× 23 888
Jordi Camps Spain 7 429 0.9× 160 1.0× 58 0.9× 36 0.7× 18 0.3× 8 553
Cristina Paissoni Italy 12 405 0.8× 93 0.6× 34 0.5× 55 1.0× 42 0.8× 21 499
Clara M. Santiveri Spain 20 1.0k 2.0× 137 0.9× 60 0.9× 17 0.3× 57 1.1× 40 1.2k
Ilona Christy Unarta Hong Kong 13 367 0.7× 67 0.4× 51 0.8× 26 0.5× 33 0.6× 28 470
Javier Ruiz‐Sanz Spain 20 741 1.5× 324 2.1× 86 1.3× 23 0.4× 65 1.2× 36 948
Philip Winter Canada 13 395 0.8× 47 0.3× 86 1.3× 29 0.5× 42 0.8× 23 540

Countries citing papers authored by Laura Orellana

Since Specialization
Citations

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

Fields of papers citing papers by Laura Orellana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Orellana

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Orellana. A scholar is included among the top collaborators of Laura Orellana 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 Laura Orellana. Laura Orellana 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.
Hammarsjö, Anna, Peter Conner, Nikos Papadogiannakis, et al.. (2025). Genome sequencing in a cohort of 32 fetuses with genetic skeletal disorders. European Journal of Human Genetics. 33(11). 1474–1483. 1 indexed citations
2.
Orellana, Laura. (2023). Are Protein Shape-Encoded Lowest-Frequency Motions a Key Phenotype Selected by Evolution?. Applied Sciences. 13(11). 6756–6756. 1 indexed citations
3.
Jacob, Prince, Cecilie F. Rustad, V. Reid Sutton, et al.. (2023). Clinical, genetic and structural delineation of RPL13-related spondyloepimetaphyseal dysplasia suggest extra-ribosomal functions of eL13. npj Genomic Medicine. 8(1). 39–39. 1 indexed citations
4.
Matsuoka, Rei, Roman Fudim, Suk‐Kyeong Jung, et al.. (2022). Structure, mechanism and lipid-mediated remodeling of the mammalian Na+/H+ exchanger NHA2. Nature Structural & Molecular Biology. 29(2). 108–120. 33 indexed citations
5.
Orellana, Laura, et al.. (2022). Exploring the Conformational Impact of Glycine Receptor TM1-2 Mutations Through Coarse-Grained Analysis and Atomistic Simulations. Frontiers in Molecular Biosciences. 9. 890851–890851. 2 indexed citations
6.
Orellana, Laura, et al.. (2021). Crystal structures of human MGST2 reveal synchronized conformational changes regulating catalysis. Nature Communications. 12(1). 1728–1728. 16 indexed citations
7.
Matsuoka, Rei, et al.. (2020). The molecular basis for sugar import in malaria parasites. Nature. 578(7794). 321–325. 57 indexed citations
8.
Matsuoka, Rei, Denis Shutin, Chen‐Ou Zhang, et al.. (2020). Structure and elevator mechanism of the mammalian sodium/proton exchanger NHE9. The EMBO Journal. 39(24). 4541–4559. 50 indexed citations
9.
Orellana, Laura, Amy Haseley Thorne, Johan Gustavsson, et al.. (2019). Oncogenic mutations at the EGFR ectodomain structurally converge to remove a steric hindrance on a kinase-coupled cryptic epitope. Proceedings of the National Academy of Sciences. 116(20). 10009–10018. 39 indexed citations
10.
Orellana, Laura. (2019). Convergence of EGFR glioblastoma mutations: evolution and allostery rationalizing targeted therapy. Molecular & Cellular Oncology. 6(5). e1630798–e1630798. 7 indexed citations
11.
Orellana, Laura, et al.. (2019). Understanding the Conformational Dynamics of a Pentameric Ligand-Gated Ion Channel through Markov State Modeling. Biophysical Journal. 116(3). 395a–396a.
12.
Orellana, Laura. (2019). Large-Scale Conformational Changes and Protein Function: Breaking the in silico Barrier. Frontiers in Molecular Biosciences. 6. 117–117. 74 indexed citations
13.
Orellana, Laura, et al.. (2019). eBDIMS server: protein transition pathways with ensemble analysis in 2D-motion spaces. Bioinformatics. 35(18). 3505–3507. 14 indexed citations
14.
Orellana, Laura, et al.. (2016). Prediction and validation of protein intermediate states from structurally rich ensembles and coarse-grained simulations. Nature Communications. 7(1). 12575–12575. 61 indexed citations
15.
16.
Fenwick, R. Bryn, Laura Orellana, Santi Esteban-Martín, Modesto Orozco, & Xavier Salvatella. (2014). Correlated motions are a fundamental property of β-sheets. Nature Communications. 5(1). 4070–4070. 78 indexed citations
17.
Emperador, Agustí, et al.. (2012). Finding Conformational Transition Pathways from Discrete Molecular Dynamics Simulations. Journal of Chemical Theory and Computation. 8(11). 4707–4718. 27 indexed citations
18.
Orozco, Modesto, Laura Orellana, Adam Hospital, et al.. (2011). Coarse-grained Representation of Protein Flexibility. Foundations, Successes, and Shortcomings. Advances in protein chemistry and structural biology. 85. 183–215. 26 indexed citations
19.
Orellana, Laura, Manuel Rueda, Carles Ferrer‐Costa, et al.. (2010). Approaching Elastic Network Models to Molecular Dynamics Flexibility. Journal of Chemical Theory and Computation. 6(9). 2910–2923. 54 indexed citations
20.
Camps, Jordi, Oliver Carrillo, Agustí Emperador, et al.. (2009). FlexServ: an integrated tool for the analysis of protein flexibility. Bioinformatics. 25(13). 1709–1710. 71 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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