Ignacio Marı́n

4.7k total citations
96 papers, 3.5k citations indexed

About

Ignacio Marı́n is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Ignacio Marı́n has authored 96 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 14 papers in Genetics and 14 papers in Plant Science. Recurrent topics in Ignacio Marı́n's work include Genomics and Phylogenetic Studies (15 papers), Chromosomal and Genetic Variations (13 papers) and Ubiquitin and proteasome pathways (11 papers). Ignacio Marı́n is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Chromosomal and Genetic Variations (13 papers) and Ubiquitin and proteasome pathways (11 papers). Ignacio Marı́n collaborates with scholars based in Spain, United States and United Kingdom. Ignacio Marı́n's co-authors include Bruce S. Baker, Ricardo Amils, Rodrigo Aldecoa, Ana Isabel López‐Archilla, Vicente Arnau, Alberto Ferrús, Jesús L. Pablos, Teresa Corrales, F. Catalina and C. Abrusci and has published in prestigious journals such as Nature, Science and Nucleic Acids Research.

In The Last Decade

Ignacio Marı́n

93 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignacio Marı́n Spain 30 1.7k 667 492 414 362 96 3.5k
Geet Duggal United States 8 4.1k 2.4× 696 1.0× 1.2k 2.4× 244 0.6× 126 0.3× 9 6.9k
Jun Zhang China 39 3.0k 1.8× 1.1k 1.7× 798 1.6× 356 0.9× 835 2.3× 277 6.6k
Amy H.Y. Tong Canada 41 7.0k 4.2× 546 0.8× 712 1.4× 368 0.9× 64 0.2× 73 8.5k
John M. Wells United States 38 1.1k 0.7× 586 0.9× 1.5k 3.0× 195 0.5× 207 0.6× 175 4.6k
Nadia Chuzhanova United Kingdom 35 2.9k 1.7× 1.3k 1.9× 739 1.5× 86 0.2× 504 1.4× 83 5.1k
Yi Yang China 33 1.6k 1.0× 332 0.5× 174 0.4× 462 1.1× 653 1.8× 142 3.8k
Cai Li China 36 1.9k 1.1× 1.4k 2.1× 488 1.0× 558 1.3× 23 0.1× 127 4.6k
Giorgio Valle Italy 44 4.5k 2.7× 601 0.9× 1.0k 2.1× 476 1.1× 43 0.1× 140 6.4k
Jonathan D. Moore United Kingdom 42 3.1k 1.8× 737 1.1× 1.1k 2.3× 259 0.6× 44 0.1× 117 5.9k
Brendan J. McConkey Canada 33 2.0k 1.2× 151 0.2× 1.5k 3.1× 145 0.4× 1.1k 3.0× 75 4.8k

Countries citing papers authored by Ignacio Marı́n

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Marı́n

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignacio Marı́n

This figure shows the co-authorship network connecting the top 25 collaborators of Ignacio Marı́n. A scholar is included among the top collaborators of Ignacio Marı́n 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 Ignacio Marı́n. Ignacio Marı́n 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.
Marı́n, Ignacio. (2023). Emergence of the Synucleins. Biology. 12(8). 1053–1053. 2 indexed citations
2.
Pérez-Caballero, Laura, et al.. (2023). The Impacts of Sex Differences and Sex Hormones on Fear Extinction. Current topics in behavioral neurosciences. 64. 105–132. 4 indexed citations
3.
Marı́n, Ignacio. (2018). Origin and evolution of fungal HECT ubiquitin ligases. Scientific Reports. 8(1). 6419–6419. 10 indexed citations
4.
Cabré, Eduard, Míriam Mañosa, Ignacio Marı́n, et al.. (2018). Characteristics of inflammatory bowel disease in patients of Roma/Gypsy ethnicity. A case-control study. Digestive and Liver Disease. 51(5). 669–674. 2 indexed citations
5.
Henderson, Jordana M., et al.. (2015). Identification of HECT E3 ubiquitin ligase family genes involved in stem cell regulation and regeneration in planarians. Developmental Biology. 404(2). 21–34. 23 indexed citations
6.
Aldecoa, Rodrigo & Ignacio Marı́n. (2013). Surprise maximization reveals the community structure of complex networks. Scientific Reports. 3(1). 1060–1060. 57 indexed citations
7.
Ginard, Daniel, Sam Khorrami, Ignacio Marı́n, et al.. (2012). P252 Effectiveness and safety of ustekinumab as rescue therapy in multi-drug resistant Crohn's disease. Journal of Crohn s and Colitis. 6. S109–S110. 2 indexed citations
8.
Marı́n, Ignacio. (2010). Animal HECT ubiquitin ligases: evolution and functional implications. BMC Evolutionary Biology. 10(1). 56–56. 60 indexed citations
9.
Marı́n, Ignacio & Sergio Hoyas. (2009). Basic networks: Definition and applications. Journal of Theoretical Biology. 258(1). 53–59. 1 indexed citations
10.
Arnau, Vicente, Miguel Gallach, & Ignacio Marı́n. (2008). Fast comparison of DNA sequences by oligonucleotide profiling. BMC Research Notes. 1(1). 5–5. 6 indexed citations
11.
Ruiz‐González, Mario X. & Ignacio Marı́n. (2004). New Insights into the Evolutionary History of Type 1 Rhodopsins. Journal of Molecular Evolution. 58(3). 348–358. 57 indexed citations
12.
Marı́n, Ignacio & Alberto Ferrús. (2002). Comparative Genomics of the RBR Family, Including the Parkinson's Disease–Related Gene Parkin and the Genes of the Ariadne Subfamily. Molecular Biology and Evolution. 19(12). 2039–2050. 85 indexed citations
13.
Sanjuán, Rafael & Ignacio Marı́n. (2001). Tracing the Origin of the Compensasome: Evolutionary History of DEAH Helicase and MYST Acetyltransferase Gene Families. Molecular Biology and Evolution. 18(3). 330–343. 39 indexed citations
14.
Marı́n, Ignacio, Axel Franke, Greg J. Bashaw, & Bruce S. Baker. (1996). The dosage compensation system of Drosophila is co-opted by newly evolved X chromosomes. Nature. 383(6596). 160–163. 90 indexed citations
15.
Marı́n, Ignacio & Antonio Fontdevila. (1996). Evolutionary conservation and molecular characteristics of repetitive sequences of Drosophila koepferae. Heredity. 76(4). 355–366. 9 indexed citations
16.
Gaju, Núria, et al.. (1995). Chromosome map of the phototrophic anoxygenic bacteriumChromatium vinosum. FEMS Microbiology Letters. 126(3). 241–247. 8 indexed citations
17.
Marı́n, Ignacio & Antonio Fontdevila. (1995). Characterization ofGandalf, a new inverted-repeat transposable element ofDrosophila koepferae. Molecular and General Genetics MGG. 248(4). 423–433. 11 indexed citations
18.
Remacha, Miguel, Lucı́a Ramı́rez, Ignacio Marı́n, & Juan P. G. Ballesta. (1990). Chromosome location of a family of genes encoding different acidic ribosomal proteins in Saccharomyces cerevisiae. Current Genetics. 17(6). 535–536. 4 indexed citations
19.
Amils, Ricardo, et al.. (1989). The use of functional analysis of the ribosome as a tool to determine archaebacterial phylogeny. Canadian Journal of Microbiology. 35(1). 141–147. 13 indexed citations
20.
Amils, Ricardo, J. L. Sanz, Ignacio Marı́n, & Joaquı́n Teixidó. (1986). The evolution of antibiotic binding sites on eubacterial, eukaryotic and archaebacterial ribosomes. A record of the evolution of the translational machinery?. Origins of Life and Evolution of Biospheres. 16(3-4). 250–250.

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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