Luca Ermini

4.3k total citations · 1 hit paper
35 papers, 2.0k citations indexed

About

Luca Ermini is a scholar working on Molecular Biology, Genetics and Archeology. According to data from OpenAlex, Luca Ermini has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 8 papers in Archeology. Recurrent topics in Luca Ermini's work include Genomics and Phylogenetic Studies (10 papers), Forensic and Genetic Research (8 papers) and Paleopathology and ancient diseases (7 papers). Luca Ermini is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Forensic and Genetic Research (8 papers) and Paleopathology and ancient diseases (7 papers). Luca Ermini collaborates with scholars based in United Kingdom, Italy and Denmark. Luca Ermini's co-authors include Martin Richards, Pedro Soares, Ludovic Orlando, Clio Der Sarkissian, Arne Röhl, Teresa Rito, Stephen Oppenheimer, Maru Mormina, Antonio Salas and Vincent Macaulay and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Luca Ermini

34 papers receiving 1.9k citations

Hit Papers

Correcting for Purifying Selection: An Improved Human Mit... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Ermini United Kingdom 19 983 843 443 373 257 35 2.0k
Matthias Höss Germany 9 925 0.9× 1.1k 1.3× 402 0.9× 382 1.0× 301 1.2× 9 2.0k
Juan José Martínez Sánchez Spain 23 1.3k 1.3× 1.2k 1.4× 254 0.6× 222 0.6× 96 0.4× 69 2.3k
Martin Sikora United States 23 1.2k 1.2× 516 0.6× 154 0.3× 339 0.9× 397 1.5× 54 2.3k
R. I. Sukernik Russia 24 2.0k 2.0× 1.2k 1.4× 212 0.5× 555 1.5× 215 0.8× 57 3.2k
Faisal Ali Anwarali Khan Malaysia 20 668 0.7× 438 0.5× 277 0.6× 165 0.4× 160 0.6× 98 1.7k
Priya Moorjani United States 18 2.3k 2.4× 770 0.9× 211 0.5× 492 1.3× 286 1.1× 30 3.0k
Cristian Capelli Italy 24 1.9k 1.9× 563 0.7× 241 0.5× 528 1.4× 300 1.2× 78 2.6k
Emilia Huerta‐Sánchez United States 22 2.3k 2.4× 925 1.1× 437 1.0× 234 0.6× 162 0.6× 40 3.3k
António Brehm Portugal 26 1.2k 1.2× 543 0.6× 111 0.3× 270 0.7× 63 0.2× 103 1.9k
Udo Stenzel Germany 16 1.6k 1.6× 1.4k 1.7× 614 1.4× 648 1.7× 544 2.1× 17 3.0k

Countries citing papers authored by Luca Ermini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Ermini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Ermini

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Ermini. A scholar is included among the top collaborators of Luca Ermini 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 Luca Ermini. Luca Ermini 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.
Ermini, Luca & Patrick Driguez. (2024). The Application of Long-Read Sequencing to Cancer. Cancers. 16(7). 1275–1275. 14 indexed citations
2.
Klein, Eliane, Aurélie Poli, Luca Ermini, et al.. (2024). Adenoviral delivery of the CIITA transgene induces T‐cell‐mediated killing in glioblastoma organoids. Molecular Oncology. 19(3). 682–697.
3.
Fukasawa, Yoshinori, Patrick Driguez, Salim Bougouffa, et al.. (2024). Plasticity of repetitive sequences demonstrated by the complete mitochondrial genome of Eucalyptus camaldulensis. Frontiers in Plant Science. 15. 1339594–1339594. 2 indexed citations
4.
Driguez, Patrick, Salim Bougouffa, Karen Carty, et al.. (2021). LeafGo: Leaf to Genome, a quick workflow to produce high-quality de novo plant genomes using long-read sequencing technology. Genome biology. 22(1). 256–256. 22 indexed citations
5.
Furness, Caroline L., Marcela Braga Mansur, Victoria Weston, et al.. (2018). The subclonal complexity of STIL-TAL1+ T-cell acute lymphoblastic leukaemia. Leukemia. 32(9). 1984–1993. 23 indexed citations
6.
Spiteri, Inmaculada, Giulio Caravagna, George D. Cresswell, et al.. (2018). Evolutionary dynamics of residual disease in human glioblastoma. Annals of Oncology. 30(3). 456–463. 45 indexed citations
7.
Lefébure, Tristan, Claire Morvan, Florian Malard, et al.. (2017). Less effective selection leads to larger genomes. Genome Research. 27(6). 1016–1028. 63 indexed citations
8.
Ermini, Luca, Michael E. Weale, Katherine Brown, et al.. (2015). Systematic assessment of the influence of complement gene polymorphisms on kidney transplant outcome. Immunobiology. 221(4). 528–534. 10 indexed citations
9.
Donaldson, Peter T., Ann K. Daly, Luca Ermini, & Debra J. Bevitt. (2015). Genetics of Complex Disease. 3 indexed citations
10.
Schubert, Mikkel, Luca Ermini, Clio Der Sarkissian, et al.. (2014). Characterization of ancient and modern genomes by SNP detection and phylogenomic and metagenomic analysis using PALEOMIX. Nature Protocols. 9(5). 1056–1082. 314 indexed citations
11.
Alpár, Donát, Dörte Wren, Luca Ermini, et al.. (2014). Clonal origins of ETV6-RUNX1+ acute lymphoblastic leukemia: studies in monozygotic twins. Leukemia. 29(4). 839–846. 38 indexed citations
12.
Ermini, Luca, Clio Der Sarkissian, Eske Willerslev, & Ludovic Orlando. (2014). Major transitions in human evolution revisited: A tribute to ancient DNA. Journal of Human Evolution. 79. 4–20. 23 indexed citations
13.
Potter, Nicola, Luca Ermini, Elli Papaemmanuil, et al.. (2013). Single-cell mutational profiling and clonal phylogeny in cancer. Genome Research. 23(12). 2115–2125. 86 indexed citations
14.
Ermini, Luca, Ermanno Rizzi, Giorgio Corti, et al.. (2012). Phylogenetic Position of a Copper Age Sheep (Ovis aries) Mitochondrial DNA. PLoS ONE. 7(3). e33792–e33792. 21 indexed citations
15.
Ermini, Luca, Timothy H.J. Goodship, Lisa Strain, et al.. (2011). Common genetic variants in complement genes other than CFH, CD46 and the CFHRs are not associated with aHUS. Molecular Immunology. 49(4). 640–648. 29 indexed citations
16.
Ermini, Luca, et al.. (2011). Complement polymorphisms: Geographical distribution and relevance to disease. Immunobiology. 217(2). 265–271. 10 indexed citations
17.
Ermini, Luca, Ermanno Rizzi, Giorgio Corti, et al.. (2010). Characterization of Nucleotide Misincorporation Patterns in the Iceman's Mitochondrial DNA. PLoS ONE. 5(1). e8629–e8629. 15 indexed citations
18.
Soares, Pedro, Luca Ermini, Maru Mormina, et al.. (2009). Correcting for Purifying Selection: An Improved Human Mitochondrial Molecular Clock. The American Journal of Human Genetics. 84(6). 740–759. 534 indexed citations breakdown →
19.
Ermini, Luca, Ermanno Rizzi, Giorgio Corti, et al.. (2008). Complete Mitochondrial Genome Sequence of the Tyrolean Iceman. Current Biology. 18(21). 1687–1693. 73 indexed citations
20.
Rollo, Franco, et al.. (2006). Fine characterization of the Iceman's mtDNA haplogroup. American Journal of Physical Anthropology. 130(4). 557–564. 18 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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