Ramil Nurtdinov

1.8k total citations
21 papers, 556 citations indexed

About

Ramil Nurtdinov is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Ramil Nurtdinov has authored 21 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Epidemiology. Recurrent topics in Ramil Nurtdinov's work include RNA and protein synthesis mechanisms (10 papers), RNA Research and Splicing (7 papers) and Genomics and Phylogenetic Studies (5 papers). Ramil Nurtdinov is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), RNA Research and Splicing (7 papers) and Genomics and Phylogenetic Studies (5 papers). Ramil Nurtdinov collaborates with scholars based in Russia, Spain and Germany. Ramil Nurtdinov's co-authors include Mikhail S. Gelfand, Xavier Montalbán, Manuel Comabella, Jordi Río, Marta F. Bustamante, Sunny Malhotra, Nicolás Fissolo, Dmitrij Frishman, Andrey A. Mironov and Filippo Martinelli Boneschi and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Brain.

In The Last Decade

Ramil Nurtdinov

21 papers receiving 544 citations

Peers

Countries citing papers authored by Ramil Nurtdinov

Since Specialization

Citations

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

Fields of papers citing papers by Ramil Nurtdinov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramil Nurtdinov

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Sequential activation of transcription factors promotes liver regeneration through specific and developmental enhancers 2025 ·Cell Genomics ·(unknown), (unknown), Ramil Nurtdinov, (unknown), Guillermo P. Vicent, Florenci Serras, Isabel Fabregat, Montserrat Corominas	3
2	Paired guide RNA CRISPR-Cas9 screening for protein-coding genes and lncRNAs involved in transdifferentiation of human B-cells to macrophages 2022 ·BMC Genomics ·Carme Arnan, Sebastian Ullrich, Carlos Pulido-Quetglas, Ramil Nurtdinov, Alexandre Esteban, (unknown), (unknown), Rory Johnson, Sílvia Pérez-Lluch, Roderic Guigó	12
3	NEAT1 Long Isoform Is Highly Expressed in Chronic Lymphocytic Leukemia Irrespectively of Cytogenetic Groups or Clinical Outcome 2020 ·Non-Coding RNA ·Domenica Ronchetti, (unknown), Paola Monti, Giovanna Cutrona, Sonia Fabris, Ilaria Silvestris, Luca Agnelli, Monica Colombo, (unknown), Serena Matis, Massimo Gentile, Ramil Nurtdinov, Roderic Guigó, Luca Baldini, Gilberto Fronza, Manlio Ferrarini, Fortunato Morabito, Antonino Neri, Elisa Taìana	10
4	MRI phenotypes with high neurodegeneration are associated with peripheral blood B-cell changes 2015 ·Human Molecular Genetics ·Manuel Comabella, Ester Cantó, Ramil Nurtdinov, Jordi Río, Luisa María Villar, Carmen Picón, Joaquín Castilló, Nicolás Fissolo, X. Aymerich, Cristina Auger, Àlex Rovira, Xavier Montalbán	26
5	NLRP3 inflammasome is associated with the response to IFN-β in patients with multiple sclerosis 2015 ·Brain ·Sunny Malhotra, Jordi Río, Elena Urcelay, Ramil Nurtdinov, Marta F. Bustamante, Óscar Fernández, Begoña Oliver‐Martos, Uwe K. Zettl, David Brassat, Joep Killestein, Jeannette Lechner‐Scott, Jelena Drulović, Andrew Chan, Filippo Martinelli Boneschi, Antonio Garcı́a-Merino, Xavier Montalbán, Manuel Comabella	96
6	Baseline Gene Expression Signatures in Monocytes from Multiple Sclerosis Patients Treated with Interferon-beta 2013 ·PLoS ONE ·Marta F. Bustamante, Ramil Nurtdinov, Jordi Río, Xavier Montalbán, Manuel Comabella	22
7	Roles of the ubiquitin peptidase USP18 in multiple sclerosis and the response to interferon‐β treatment 2013 ·European Journal of Neurology ·Sunny Malhotra, Carlos Morcillo-Suárez, Ramil Nurtdinov, Jordi Río, Eduard Sarró, (unknown), Joaquín Castilló, Arcadi Navarro, Xavier Montalbán, Manuel Comabella	30
8	Treatment with MOG-DNA vaccines induces CD4+CD25+FoxP3+ regulatory T cells and up-regulates genes with neuroprotective functions in experimental autoimmune encephalomyelitis 2012 ·Journal of Neuroinflammation ·Nicolás Fissolo, Carme Costa, Ramil Nurtdinov, Marta F. Bustamante, Víctor Llombart, María José Mansilla, Carmen Espejo, Xavier Montalbán, Manuel Comabella	35
9	Search for Specific Biomarkers of IFNβ Bioactivity in Patients with Multiple Sclerosis 2011 ·PLoS ONE ·Sunny Malhotra, Marta F. Bustamante, Francisco Pérez‐Miralles, Jordi Río, (unknown), Esteban Vegas, Lara Nonell, Florian Deisenhammer, Nicolás Fissolo, Ramil Nurtdinov, Xavier Montalbán, Manuel Comabella	33
10	Rodent-specific alternative exons are more frequent in rapidly evolving genes and in paralogs 2009 ·BMC Evolutionary Biology ·Ramil Nurtdinov, Andrey A. Mironov, Mikhail S. Gelfand	8
11	PLANdbAffy: probe-level annotation database for Affymetrix expression microarrays 2009 ·Nucleic Acids Research ·Ramil Nurtdinov, (unknown), (unknown), (unknown), A. S. Karyagina	19
12	Positive Selection in Alternatively Spliced Exons of Human Genes 2008 ·The American Journal of Human Genetics ·Vasily Ramensky, Ramil Nurtdinov, (unknown), Andrei A. Mironov, Mikhail S. Gelfand	18
13	Conserved and species-specific alternative splicing in mammalian genomes 2007 ·BMC Evolutionary Biology ·Ramil Nurtdinov, Alexey D. Neverov, Alexander V. Favorov, Andrey A. Mironov, Mikhail S. Gelfand	22
14	OVERLAPPING ALTERNATIVE DONOR SPLICE SITES IN THE HUMAN GENOME 2007 ·Journal of Bioinformatics and Computational Biology ·(unknown), Ramil Nurtdinov, Mikhail S. Gelfand	8
15	EDAS—A database of alternatively spliced human genes 2006 ·BIOPHYSICS ·Ramil Nurtdinov, Alexey D. Neverov, Dmitry B. Malko, (unknown), (unknown), (unknown), (unknown), Mikhail S. Gelfand	9
16	Fast rate of evolution in alternatively spliced coding regions of mammalian genes 2006 ·BMC Genomics ·(unknown), Ramil Nurtdinov, Mikhail S. Gelfand	31
17	Alternative splicing and protein function 2005 ·BMC Bioinformatics ·(unknown), (unknown), Ramil Nurtdinov, Dmitrij Frishman, Mikhail S. Gelfand, (unknown)	39
18	No statistical support for correlation between the positions of protein interaction sites and alternatively spliced regions 2004 ·BMC Bioinformatics ·Marc N. Offman, Ramil Nurtdinov, Mikhail S. Gelfand, Dmitrij Frishman	6
19	Low conservation of alternative splicing patterns in the human and mouse genomes 2003 ·Human Molecular Genetics ·Ramil Nurtdinov	125
20	[Is alternative splicing of mammalian genes conservative?]. 2002 ·PubMed ·Ramil Nurtdinov, Mironov Aa, (unknown)	1

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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