Javier Arsuaga

2.3k total citations
45 papers, 1.6k citations indexed

About

Javier Arsuaga is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Javier Arsuaga has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Ecology. Recurrent topics in Javier Arsuaga's work include Genomics and Chromatin Dynamics (18 papers), Bacteriophages and microbial interactions (9 papers) and Genomic variations and chromosomal abnormalities (7 papers). Javier Arsuaga is often cited by papers focused on Genomics and Chromatin Dynamics (18 papers), Bacteriophages and microbial interactions (9 papers) and Genomic variations and chromosomal abnormalities (7 papers). Javier Arsuaga collaborates with scholars based in United States, Spain and Japan. Javier Arsuaga's co-authors include Mariel Vázquez, Nicholas R. Cozzarelli, D. W. Sumners, Lisa Postow, Christine D. Hardy, Joaquím Roca, Sònia Trigueros, Yuanan Diao, Adam M. Breier and Arkady Khodursky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Javier Arsuaga

44 papers receiving 1.6k citations

Peers

Javier Arsuaga

GENET

ECOLO

AMPO

Mariel Vázquez United States

Sergei Nechaev Russia

Franco Ferrari Italy

Nancy J. Crisona United States

Nigel J. Burroughs United Kingdom

James H. White United States

Alexander Vologodskii United States

Alexander V. Vologodskii Russia

Stephen D. Levene United States

Craig J. Benham United States

Mariel Vázquez United States

Javier Arsuaga

732 ×0.6

184 ×0.4

GENET

206 ×0.5

ECOLO

156 ×0.9

178 ×1.0

AMPO

Citations per year, relative to Javier Arsuaga Javier Arsuaga (= 1×) peers Mariel Vázquez

Countries citing papers authored by Javier Arsuaga

Since Specialization

Citations

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

Fields of papers citing papers by Javier Arsuaga

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Arsuaga

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Arsuaga. A scholar is included among the top collaborators of Javier Arsuaga 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 Javier Arsuaga. Javier Arsuaga 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

Liu, Pengyu, et al.. (2023). Using machine learning to detect coronaviruses potentially infectious to humans. Scientific Reports. 13(1). 9319–9319. 2 indexed citations

Liu, Pei, Javier Arsuaga, M. Carme Calderer, et al.. (2021). Ion-dependent DNA configuration in bacteriophage capsids. Biophysical Journal. 120(16). 3292–3302. 3 indexed citations

Walker, Shawn W., et al.. (2020). Fine structure of viral dsDNA encapsidation. Physical review. E. 101(2). 22703–22703. 6 indexed citations

Zhu, Zihao, et al.. (2020). Quantitative Study of the Chiral Organization of the Phage Genome Induced by the Packaging Motor. Biophysical Journal. 118(9). 2103–2116. 5 indexed citations

Burgess, Sean M., et al.. (2019). The Rabl configuration limits topological entanglement of chromosomes in budding yeast. Scientific Reports. 9(1). 6795–6795. 29 indexed citations

Diao, Yuanan, et al.. (2015). Orientation of DNA Minicircles Balances Density and Topological Complexity in Kinetoplast DNA. PLoS ONE. 10(6). e0130998–e0130998. 15 indexed citations

Arsuaga, Javier, et al.. (2015). Identification of Copy Number Aberrations in Breast Cancer Subtypes Using Persistence Topology. SHILAP Revista de lepidopterología. 4(3). 339–369. 13 indexed citations

Portillo, José R., Yuanan Diao, Robert G. Scharein, Javier Arsuaga, & Mariel Vázquez. (2011). On the mean and variance of the writhe of random polygons. Journal of Physics A Mathematical and Theoretical. 44(27). 275004–275004. 16 indexed citations

Diao, Yuanan, et al.. (2011). The effects of density on the topological structure of the mitochondrial DNA from trypanosomes. Journal of Mathematical Biology. 64(6). 1087–1108. 19 indexed citations

10.

Scharein, Robert G., et al.. (2010). Modeling of chromosome intermingling by partially overlapping uniform random polygons. Journal of Mathematical Biology. 62(3). 371–389. 8 indexed citations

11.

DeWoskin, Daniel, et al.. (2009). Applications of computational homology to the analysis of treatment response in breast cancer patients. Topology and its Applications. 157(1). 157–164. 23 indexed citations

12.

Hua, Xia, et al.. (2006). Random state transitions of knots: a first step towards modeling unknotting by type II topoisomerases. Topology and its Applications. 154(7). 1381–1397. 28 indexed citations

13.

Arsuaga, Javier, Mariel Vázquez, Paul R. McGuirk, et al.. (2005). DNA knots reveal a chiral organization of DNA in phage capsids. Proceedings of the National Academy of Sciences. 102(26). 9165–9169. 191 indexed citations

14.

Loucas, Bradford D., Mariel Vázquez, David J. Brenner, et al.. (2005). SCHIP: statistics for chromosome interphase positioning based on interchange data. Computer applications in the biosciences. 21(14). 3181–3182. 3 indexed citations

15.

Peter, Brian J., Javier Arsuaga, Adam M. Breier, et al.. (2004). Genomic transcriptional response to loss of chromosomal supercoiling in Escherichia coli. Genome biology. 5(11). R87–R87. 232 indexed citations

16.

Postow, Lisa, Christine D. Hardy, Javier Arsuaga, & Nicholas R. Cozzarelli. (2004). Topological domain structure of the Escherichia coli chromosome. Genes & Development. 18(14). 1766–1779. 352 indexed citations

17.

Arsuaga, Javier, Karin M. Greulich‐Bode, Mariel Vázquez, et al.. (2004). Chromosome spatial clustering inferred from radiogenic aberrations. International Journal of Radiation Biology. 80(7). 507–515. 27 indexed citations

18.

Arsuaga, Javier, Robert K.‐Z. Tan, Mariel Vázquez, D. W. Sumners, & Stephen C. Harvey. (2002). Investigation of viral DNA packaging using molecular mechanics models. Biophysical Chemistry. 101-102. 475–484. 103 indexed citations

19.

Vázquez, Mariel, Karin M. Greulich‐Bode, Javier Arsuaga, et al.. (2002). Computer analysis of mFISH chromosome aberration data uncovers an excess of very complicated metaphases. International Journal of Radiation Biology. 78(12). 1103–1115. 15 indexed citations

20.

Sachs, Rainer K., Javier Arsuaga, Mariel Vázquez, Lynn Hlatky, & Philip Hahnfeldt. (2002). Using Graph Theory to Describe and Model Chromosome Aberrations. Radiation Research. 158(5). 556–567. 11 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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