Noël Malod‐Dognin

3.1k total citations
31 papers, 812 citations indexed

About

Noël Malod‐Dognin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Noël Malod‐Dognin has authored 31 papers receiving a total of 812 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 2 papers in Infectious Diseases. Recurrent topics in Noël Malod‐Dognin's work include Bioinformatics and Genomic Networks (24 papers), Computational Drug Discovery Methods (12 papers) and Protein Structure and Dynamics (7 papers). Noël Malod‐Dognin is often cited by papers focused on Bioinformatics and Genomic Networks (24 papers), Computational Drug Discovery Methods (12 papers) and Protein Structure and Dynamics (7 papers). Noël Malod‐Dognin collaborates with scholars based in United Kingdom, Spain and France. Noël Malod‐Dognin's co-authors include Nataša Pržulj, Vladimir Gligorijević, Ömer Nebil Yaveroğlu, D. Davis, Aleksandar Stojmirović, Zoran Levnajić, Vuk Janjić, Rumen Andonov, Julia Petschnigg and Nicola Yanev and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Noël Malod‐Dognin

31 papers receiving 799 citations

Peers

Noël Malod‐Dognin

CTM

SNP

CVPR

Charalampos Moschopoulos Greece

Vladimir Gligorijević United States

Maria Secrier United Kingdom

Gargi Debnath United States

Falk Schreiber Germany

Fantine Mordelet France

Ruiqing Zheng China

Marcelo Blatt Israel

Tolga Can Türkiye

Víctor Martínez Spain

Charalampos Moschopoulos Greece

Noël Malod‐Dognin

377 ×0.7

113 ×0.6

CTM

74 ×0.5

SNP

80 ×0.7

33 ×0.8

CVPR

Citations per year, relative to Noël Malod‐Dognin Noël Malod‐Dognin (= 1×) peers Charalampos Moschopoulos

Countries citing papers authored by Noël Malod‐Dognin

Since Specialization

Citations

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

Fields of papers citing papers by Noël Malod‐Dognin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noël Malod‐Dognin. 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 Noël Malod‐Dognin. The network helps show where Noël Malod‐Dognin may publish in the future.

Co-authorship network of co-authors of Noël Malod‐Dognin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Malod‐Dognin, Noël, et al.. (2024). MONFIT: multi-omics factorization-based integration of time-series data sheds light on Parkinson’s disease. PubMed. 1(4). ugae012–ugae012. 2 indexed citations

Malod‐Dognin, Noël, et al.. (2024). Multi-omics integration of scRNA-seq time series data predicts new intervention points for Parkinson’s disease. Scientific Reports. 14(1). 10983–10983. 8 indexed citations

Malod‐Dognin, Noël, et al.. (2023). Integrated Data Analysis Uncovers New COVID-19 Related Genes and Potential Drug Re-Purposing Candidates. International Journal of Molecular Sciences. 24(2). 1431–1431. 1 indexed citations

Malod‐Dognin, Noël, et al.. (2023). A functional analysis of omic network embedding spaces reveals key altered functions in cancer. Bioinformatics. 39(5). 1 indexed citations

Cifuentes, Myriam Patricia, Noël Malod‐Dognin, Paul D. Juárez, et al.. (2022). Big Data to Knowledge Analytics Reveals the Zika Virus Epidemic as Only One of Multiple Factors Contributing to a Year-Over-Year 28-Fold Increase in Microcephaly Incidence. International Journal of Environmental Research and Public Health. 19(15). 9051–9051. 2 indexed citations

Malod‐Dognin, Noël, et al.. (2022). Graphlet eigencentralities capture novel central roles of genes in pathways. PLoS ONE. 17(1). e0261676–e0261676. 2 indexed citations

Böttcher, René, et al.. (2021). Network neighbors of viral targets and differentially expressed genes in COVID-19 are drug target candidates. Scientific Reports. 11(1). 18985–18985. 3 indexed citations

Malod‐Dognin, Noël, et al.. (2021). Linear functional organization of the omic embedding space. Bioinformatics. 37(21). 3839–3847. 3 indexed citations

Malod‐Dognin, Noël, et al.. (2020). Unveiling new disease, pathway, and gene associations via multi-scale neural network. PLoS ONE. 15(4). e0231059–e0231059. 12 indexed citations

10.

Böttcher, René, et al.. (2020). Probabilistic graphlets capture biological function in probabilistic molecular networks. Bioinformatics. 36(Supplement_2). i804–i812. 4 indexed citations

11.

Perin, Nataša, Irena Sović, Nataša Pržulj, et al.. (2019). Antiproliferative activity and mode of action analysis of novel amino and amido substituted phenantrene and naphtho[2,1-b]thiophene derivatives. European Journal of Medicinal Chemistry. 185. 111833–111833. 16 indexed citations

12.

Malod‐Dognin, Noël, Julia Petschnigg, Janez Povh, et al.. (2019). Towards a data-integrated cell. Nature Communications. 10(1). 805–805. 34 indexed citations

13.

Malod‐Dognin, Noël, et al.. (2017). Unified Alignment of Protein-Protein Interaction Networks. Scientific Reports. 7(1). 953–953. 32 indexed citations

14.

Malod‐Dognin, Noël, et al.. (2016). Graphlet-based Characterization of Directed Networks. Scientific Reports. 6(1). 35098–35098. 56 indexed citations

15.

Gligorijević, Vladimir, Noël Malod‐Dognin, & Nataša Pržulj. (2015). Integrative methods for analyzing big data in precision medicine. PROTEOMICS. 16(5). 741–758. 128 indexed citations

16.

Yaveroğlu, Ömer Nebil, Noël Malod‐Dognin, D. Davis, et al.. (2014). Revealing the Hidden Language of Complex Networks. Scientific Reports. 4(1). 4547–4547. 139 indexed citations

17.

Wohlers, Inken, Noël Malod‐Dognin, Rumen Andonov, & Gunnar W. Klau. (2012). CSA: comprehensive comparison of pairwise protein structure alignments. Nucleic Acids Research. 40(W1). W303–W309. 11 indexed citations

18.

Malod‐Dognin, Noël, et al.. (2012). Characterizing the morphology of protein binding patches. Proteins Structure Function and Bioinformatics. 80(12). 2652–2665. 6 indexed citations

19.

Andonov, Rumen, Noël Malod‐Dognin, & Nicola Yanev. (2011). Maximum Contact Map Overlap Revisited. Journal of Computational Biology. 18(1). 27–41. 24 indexed citations

20.

Mavridis, Lazaros, Vishwesh Venkatraman, David W. Ritchie, et al.. (2010). SHREC'10 Track: Protein Models. HAL (Le Centre pour la Communication Scientifique Directe). 3 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.

Explore authors with similar magnitude of impact