Ian Morilla

549 total citations
26 papers, 323 citations indexed

About

Ian Morilla is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Ian Morilla has authored 26 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Genetics. Recurrent topics in Ian Morilla's work include Bioinformatics and Genomic Networks (11 papers), Computational Drug Discovery Methods (5 papers) and Inflammatory Bowel Disease (4 papers). Ian Morilla is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Computational Drug Discovery Methods (5 papers) and Inflammatory Bowel Disease (4 papers). Ian Morilla collaborates with scholars based in Spain, France and United Kingdom. Ian Morilla's co-authors include Juan A. G. Ranea, Jonathan Lees, Christine Orengo, Louis van de Zande, Leo W. Beukeboom, Ernst A. Wimmer, Mark D. Robinson, Yanli Wu, Daniel Bopp and Jean-Karim Hèriché and has published in prestigious journals such as Science, Blood and Bioinformatics.

In The Last Decade

Ian Morilla

26 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian Morilla Spain 9 167 114 62 30 30 26 323
Alexander Kononov Finland 8 146 0.9× 33 0.3× 41 0.7× 11 0.4× 62 2.1× 9 317
Stephen T. Guest United States 11 408 2.4× 66 0.6× 12 0.2× 21 0.7× 23 0.8× 16 558
Anney Che United States 7 296 1.8× 72 0.6× 6 0.1× 15 0.5× 10 0.3× 9 433
Changyu Fan United States 6 431 2.6× 57 0.5× 7 0.1× 19 0.6× 27 0.9× 8 525
Luiz A. Bovolenta Brazil 6 279 1.7× 18 0.2× 11 0.2× 12 0.4× 28 0.9× 14 362
Md. Abul Hassan Samee United States 12 534 3.2× 105 0.9× 5 0.1× 23 0.8× 6 0.2× 34 614
Linzi Chen China 3 536 3.2× 21 0.2× 22 0.4× 13 0.4× 6 0.2× 8 580
Richard J. Sové United States 11 138 0.8× 50 0.4× 35 0.6× 17 0.6× 24 0.8× 17 447
Fatemeh Seyednasrollah Finland 8 410 2.5× 70 0.6× 7 0.1× 23 0.8× 4 0.1× 12 569
Jingxue Xin China 9 189 1.1× 51 0.4× 8 0.1× 7 0.2× 6 0.2× 15 269

Countries citing papers authored by Ian Morilla

Since Specialization
Citations

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

Fields of papers citing papers by Ian Morilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Morilla

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Morilla. A scholar is included among the top collaborators of Ian Morilla 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 Ian Morilla. Ian Morilla 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.
Tran‐Dinh, Alexy, et al.. (2024). Novel dimensionality reduction method, Taelcore, enhances lung transplantation risk prediction. Computers in Biology and Medicine. 169. 107969–107969. 1 indexed citations
2.
Tran‐Dinh, Alexy, et al.. (2023). Plasma proteome dynamics of COVID-19 severity learnt by a graph convolutional network of multi-scale topology. Life Science Alliance. 6(5). e202201624–e202201624. 1 indexed citations
3.
Tran‐Dinh, Alexy, Quentin Laurent, Guillaume Even, et al.. (2022). Personalized risk predictor for acute cellular rejection in lung transplant using soluble CD31. Scientific Reports. 12(1). 17628–17628. 4 indexed citations
4.
Benadjaoud, Mohamed Amine, Frédéric Soysouvanh, Georges Tarlet, et al.. (2021). Deciphering the Dynamic Molecular Program of Radiation-Induced Endothelial Senescence. International Journal of Radiation Oncology*Biology*Physics. 112(4). 975–985. 14 indexed citations
5.
Morilla, Ian, Philippe Chan, Fanny Caffin, et al.. (2021). Deep models of integrated multiscale molecular data decipher the endothelial cell response to ionizing radiation. iScience. 25(1). 103685–103685. 8 indexed citations
6.
Morilla, Ian, et al.. (2020). Singular manifolds of proteomic drivers to model the evolution of inflammatory bowel disease status. Scientific Reports. 10(1). 1 indexed citations
7.
Morilla, Ian. (2020). A deep learning approach to evaluate intestinal fibrosis in magnetic resonance imaging models. Neural Computing and Applications. 32(18). 14865–14874. 5 indexed citations
8.
Morilla, Ian, Mathieu Uzzan, David Laharie, et al.. (2018). Colonic MicroRNA Profiles, Identified by a Deep Learning Algorithm, That Predict Responses to Therapy of Patients With Acute Severe Ulcerative Colitis. Clinical Gastroenterology and Hepatology. 17(5). 905–913. 47 indexed citations
9.
Wu, Yanli, Ian Morilla, Ernst A. Wimmer, et al.. (2017). Male sex in houseflies is determined by Mdmd , a paralog of the generic splice factor gene CWC22. Science. 356(6338). 642–645. 99 indexed citations
10.
Morilla, Ian & Juan A. G. Ranea. (2017). Mathematical deconvolution uncovers the genetic regulatory signal of cancer cellular heterogeneity on resistance to paclitaxel. Molecular Genetics and Genomics. 292(4). 857–869. 3 indexed citations
11.
Ladeiro, Yannick, Ian Morilla, Yoram Bouhnik, et al.. (2016). Integrative Network-based Analysis of Colonic Detoxification Gene Expression in Ulcerative Colitis According to Smoking Status. Journal of Crohn s and Colitis. 11(4). jjw179–jjw179. 8 indexed citations
12.
Barreau, Frédérick, Ian Morilla, Nicolas Montcuquet, et al.. (2016). Increased Proliferation of the Ileal Epithelium as a Remote Effect of Ulcerative Colitis. Inflammatory Bowel Diseases. 22(10). 2369–2381. 8 indexed citations
13.
14.
Hèriché, Jean-Karim, Jonathan Lees, Ian Morilla, et al.. (2014). Integration of biological data by kernels on graph nodes allows prediction of new genes involved in mitotic chromosome condensation. Molecular Biology of the Cell. 25(16). 2522–2536. 30 indexed citations
15.
Aledo, Juan Carlos, et al.. (2014). Protein–Protein Interfaces from Cytochrome c Oxidase I Evolve Faster than Nonbinding Surfaces, yet Negative Selection Is the Driving Force. Genome Biology and Evolution. 6(11). 3064–3076. 9 indexed citations
16.
17.
Lees, Jonathan, Jean-Karim Hèriché, Ian Morilla, Juan A. G. Ranea, & Christine Orengo. (2011). Systematic computational prediction of protein interaction networks. Physical Biology. 8(3). 35008–35008. 28 indexed citations
18.
Ranea, Juan A. G., Ian Morilla, Jonathan Lees, et al.. (2010). Finding the “Dark Matter” in Human and Yeast Protein Network Prediction and Modelling. PLoS Computational Biology. 6(9). e1000945–e1000945. 15 indexed citations
19.
Morilla, Ian, Jonathan Lees, Adam J. Reid, Christine Orengo, & Juan A. G. Ranea. (2010). Assessment of protein domain fusions in human protein interaction networks prediction: Application to the human kinetochore model. New Biotechnology. 27(6). 755–765. 7 indexed citations
20.
Oaknin, Ana, et al.. (2010). Muscle metastasis of low-grade endometrial carcinoma seven years after diagnosis: a case report.. PubMed. 31(1). 114–6. 6 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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