D. Messina

3.8k total citations
37 papers, 1.7k citations indexed

About

D. Messina is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, D. Messina has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in D. Messina's work include Parkinson's Disease Mechanisms and Treatments (9 papers), Genomics and Phylogenetic Studies (5 papers) and Neurological disorders and treatments (5 papers). D. Messina is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (9 papers), Genomics and Phylogenetic Studies (5 papers) and Neurological disorders and treatments (5 papers). D. Messina collaborates with scholars based in Italy, United States and Sweden. D. Messina's co-authors include Erik L. L. Sonnhammer, Aldo Quattrone, Thomas Schmitt, Oliver Frings, Gabriel Östlund, Sofia K. Forslund, Jarret Glasscock, Francesca Condino, Maria Salsone and Fabiana Novellino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

D. Messina

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Messina Italy 19 748 482 312 183 167 37 1.7k
Tushar Bhangale United States 20 1.0k 1.4× 513 1.1× 221 0.7× 647 3.5× 34 0.2× 30 2.6k
Ulrich Gärtner Germany 30 1.1k 1.5× 127 0.3× 803 2.6× 118 0.6× 52 0.3× 109 3.0k
Han Chen United States 20 787 1.1× 399 0.8× 241 0.8× 71 0.4× 19 0.1× 63 2.1k
Engin Özkan United States 25 1.5k 2.0× 96 0.2× 1.0k 3.3× 213 1.2× 54 0.3× 34 3.2k
Tao Feng China 19 409 0.5× 529 1.1× 135 0.4× 312 1.7× 36 0.2× 70 1.3k
Joël Lachuer France 32 1.6k 2.2× 105 0.2× 205 0.7× 314 1.7× 24 0.1× 92 3.5k
Vladimir N. Babenko Russia 25 997 1.3× 66 0.1× 127 0.4× 225 1.2× 77 0.5× 111 1.8k
Christel Depienne France 33 1.1k 1.5× 596 1.2× 1.1k 3.6× 836 4.6× 755 4.5× 98 3.2k
Majid Hafezparast United Kingdom 21 1.1k 1.5× 602 1.2× 371 1.2× 363 2.0× 19 0.1× 46 2.2k
Thomas Ott Germany 29 1.9k 2.5× 193 0.4× 543 1.7× 307 1.7× 21 0.1× 61 2.7k

Countries citing papers authored by D. Messina

Since Specialization
Citations

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

Fields of papers citing papers by D. Messina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Messina

This figure shows the co-authorship network connecting the top 25 collaborators of D. Messina. A scholar is included among the top collaborators of D. Messina 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 D. Messina. D. Messina 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.
2.
Armstrong, Jon R., Jeffrey Hiken, Kevin C. Flanagan, et al.. (2020). Analytical Performance of an Immunoprofiling Assay Based on RNA Models. Journal of Molecular Diagnostics. 22(4). 555–570. 8 indexed citations
3.
Barrientos‐Somarribas, Mauricio, D. Messina, Christian Pou, et al.. (2018). Discovering viral genomes in human metagenomic data by predicting unknown protein families. Scientific Reports. 8(1). 28–28. 9 indexed citations
4.
Boothby, Thomas E., Jennifer R. Tenlen, F. W. Smith, et al.. (2015). Evidence for extensive horizontal gene transfer from the draft genome of a tardigrade. Proceedings of the National Academy of Sciences. 112(52). 15976–15981. 102 indexed citations
5.
Fritz, Allan K., et al.. (2015). Using RNA Sequencing and In Silico Subtraction to Identify Resistance Gene Analog Markers forLr16in Wheat. The Plant Genome. 8(2). eplantgenome2014.08.0040–eplantgenome2014.08.0040. 4 indexed citations
6.
Annesi, Grazia, P. Tarantino, Giuseppe Nicoletti, et al.. (2009). DJ‐1 is a Parkinson's disease susceptibility gene in southern Italy. Clinical Genetics. 77(2). 183–188. 21 indexed citations
7.
Klammer, Martin, D. Messina, Thomas Schmitt, & Erik L. L. Sonnhammer. (2009). MetaTM - a consensus method for transmembrane protein topology prediction. BMC Bioinformatics. 10(1). 314–314. 21 indexed citations
8.
Cerasa, Antonio, D. Messina, Giuseppe Nicoletti, et al.. (2009). Cerebellar Atrophy in Essential Tremor Using an Automated Segmentation Method. American Journal of Neuroradiology. 30(6). 1240–1243. 106 indexed citations
9.
Östlund, Gabriel, Thomas Schmitt, Sofia K. Forslund, et al.. (2009). InParanoid 7: new algorithms and tools for eukaryotic orthology analysis. Nucleic Acids Research. 38(Database). D196–D203. 465 indexed citations
10.
Nicoletti, Giovanni Federico, Caterina Tonon, Raffaele Lodi, et al.. (2008). Apparent diffusion coefficient of the superior cerebellar peduncle differentiates progressive supranuclear palsy from Parkinson's disease.. Dec 15;23(16):2370-6.PMID: 18816803. Movement Disorders. 2370–2376. 11 indexed citations
11.
Wylie, Todd, John Martin, Sahar Abubucker, et al.. (2008). NemaPath: online exploration of KEGG-based metabolic pathways for nematodes. BMC Genomics. 9(1). 525–525. 22 indexed citations
12.
Quattrone, Aldo, Antonio Cerasa, D. Messina, et al.. (2008). Essential Head Tremor Is Associated with Cerebellar Vermis Atrophy: A Volumetric and Voxel-Based Morphometry MR Imaging Study. American Journal of Neuroradiology. 29(9). 1692–1697. 145 indexed citations
13.
Warren, Robin M., Darren Platt, Xiaoqiu Huang, et al.. (2006). Physical map-assisted whole-genome shotgun sequence assemblies. Genome Research. 16(6). 768–775. 20 indexed citations
14.
Cai, Juanliang, David E. Ash, Lori E. Kotch, et al.. (2005). Gene expression in pharyngeal arch 1 during human embryonic development. Human Molecular Genetics. 14(7). 903–912. 28 indexed citations
15.
Zappia, Mario, Grazia Annesi, Giuseppe Nicoletti, et al.. (2003). Association of tau gene polymorphism with Parkinson?s disease. Neurological Sciences. 24(3). 223–224. 9 indexed citations
16.
Krakow, Karsten, D. Messina, Louis Lemieux, John S. Duncan, & D. R. Fish. (2001). Functional MRI Activation of Individual Interictal Epileptiform Spikes. NeuroImage. 13(3). 502–505. 43 indexed citations
17.
Aguglia, Umberto, Antonio Gambardella, Angelo Quartarone, et al.. (2000). Interhemispheric threshold differences in idiopathic generalized epilepsies with versive or circling seizures determined with focal magnetic transcranial stimulation. Epilepsy Research. 40(1). 1–6. 21 indexed citations
18.
Aguglia, Umberto, Antonio Gambardella, Emilio Le Piane, et al.. (1999). Idiopathic generalized epilepsies with versive or circling seizures. Acta Neurologica Scandinavica. 99(4). 219–224. 26 indexed citations
19.
Messina, D., Marcy C. Speer, Margaret A. Pericak‐Vance, & Elizabeth M. McNally. (1997). Linkage of Familial Dilated Cardiomyopathy with Conduction Defect and Muscular Dystrophy to Chromosome 6q23. The American Journal of Human Genetics. 61(4). 909–917. 117 indexed citations
20.
Goldman, Serge, et al.. (1989). Effect of L-dopa on dementia-related rigidity. Acta Neurologica Scandinavica. 80(1). 64–67. 15 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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