Julián Echave

3.8k total citations · 1 hit paper
68 papers, 2.6k citations indexed

About

Julián Echave is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Julián Echave has authored 68 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 30 papers in Atomic and Molecular Physics, and Optics and 14 papers in Materials Chemistry. Recurrent topics in Julián Echave's work include Protein Structure and Dynamics (25 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Advanced Chemical Physics Studies (17 papers). Julián Echave is often cited by papers focused on Protein Structure and Dynamics (25 papers), Spectroscopy and Quantum Chemical Studies (17 papers) and Advanced Chemical Physics Studies (17 papers). Julián Echave collaborates with scholars based in Argentina, United States and United Kingdom. Julián Echave's co-authors include David C. Clary, Claus O. Wilke, Gustavo Parisi, Sebastian Fernández-Alberti, Stephanie J. Spielman, Juliana Palma, S.K. Pogrebnya, Nathalie Reuter, Edvin Fuglebakk and Francisco M. Fernández and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Julián Echave

68 papers receiving 2.6k citations

Hit Papers

Potential optimized discrete variable representation 1992 2026 2003 2014 1992 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
Julián Echave Argentina 26 1.3k 1.1k 625 395 325 68 2.6k
Philip W. Fowler United Kingdom 42 1.4k 1.1× 2.3k 2.2× 1.3k 2.0× 1.5k 3.9× 174 0.5× 141 5.8k
Celeste Sagui United States 28 1.9k 1.5× 936 0.9× 284 0.5× 772 2.0× 94 0.3× 88 3.4k
Simon Ebbinghaus Germany 25 2.1k 1.6× 783 0.7× 455 0.7× 695 1.8× 118 0.4× 80 3.4k
Kenneth Haug United States 28 1.5k 1.2× 952 0.9× 609 1.0× 225 0.6× 72 0.2× 52 2.9k
Masaki Sasai Japan 32 1.7k 1.4× 626 0.6× 150 0.2× 721 1.8× 219 0.7× 105 2.8k
Ilario G. Tironi Switzerland 11 1.9k 1.5× 1.1k 1.0× 339 0.5× 714 1.8× 85 0.3× 12 3.2k
Hisashi Okumura Japan 33 1.5k 1.1× 528 0.5× 287 0.5× 674 1.7× 122 0.4× 124 2.7k
Terry P. Lybrand United States 36 2.0k 1.5× 642 0.6× 333 0.5× 338 0.9× 304 0.9× 117 3.6k
Riccardo Baron United States 31 2.8k 2.2× 732 0.7× 410 0.7× 805 2.0× 126 0.4× 58 4.0k
Alfredo Di Nola Italy 35 2.4k 1.9× 952 0.9× 442 0.7× 721 1.8× 107 0.3× 133 3.8k

Countries citing papers authored by Julián Echave

Since Specialization
Citations

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

Fields of papers citing papers by Julián Echave

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julián Echave

This figure shows the co-authorship network connecting the top 25 collaborators of Julián Echave. A scholar is included among the top collaborators of Julián Echave 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 Julián Echave. Julián Echave 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.
Álvarez, Guadalupe, et al.. (2022). Hydroxylation Regiochemistry Is Robust to Active Site Mutations in Cytochrome P450cam (CYP101A1). Biochemistry. 61(17). 1790–1800. 3 indexed citations
2.
Echave, Julián. (2021). Fast computational mutation-response scanning of proteins. PeerJ. 9. e11330–e11330. 1 indexed citations
3.
Echave, Julián, et al.. (2020). The variation among sites of protein structure divergence is shaped by mutation and scaled by selection. SHILAP Revista de lepidopterología. 2. 156–163. 9 indexed citations
4.
Echave, Julián & Claus O. Wilke. (2017). Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence. Annual Review of Biophysics. 46(1). 85–103. 80 indexed citations
5.
Bastolla, Ugo, Yves Dehouck, & Julián Echave. (2016). What evolution tells us about protein physics, and protein physics tells us about evolution. Current Opinion in Structural Biology. 42. 59–66. 36 indexed citations
6.
Meyer, Austin G., et al.. (2016). Functional Sites Induce Long-Range Evolutionary Constraints in Enzymes. PLoS Biology. 14(5). e1002452–e1002452. 77 indexed citations
7.
Echave, Julián, Stephanie J. Spielman, & Claus O. Wilke. (2016). Causes of evolutionary rate variation among protein sites. Nature Reviews Genetics. 17(2). 109–121. 190 indexed citations
8.
Echave, Julián, et al.. (2015). Relationship between protein thermodynamic constraints and variation of evolutionary rates among sites. Physical Biology. 12(2). 25002–25002. 35 indexed citations
9.
10.
Yu, Sung‐Huan, et al.. (2013). Site-Specific Structural Constraints on Protein Sequence Evolutionary Divergence: Local Packing Density versus Solvent Exposure. Molecular Biology and Evolution. 31(1). 135–139. 57 indexed citations
11.
Echave, Julián & Francisco M. Fernández. (2009). A perturbative view of protein structural variation. Proteins Structure Function and Bioinformatics. 78(1). 173–180. 38 indexed citations
12.
Fornasari, Marı́a Silvina, Gustavo Parisi, & Julián Echave. (2008). Teaching noncovalent interactions using protein molecular evolution. Biochemistry and Molecular Biology Education. 36(4). 284–286. 1 indexed citations
13.
Fernández-Alberti, Sebastian, et al.. (2006). Evolutionary Conservation of Protein Backbone Flexibility. Journal of Molecular Evolution. 63(4). 448–457. 64 indexed citations
14.
Fernández-Alberti, Sebastian, Daniel E. Bacelo, R. C. Binning, et al.. (2006). Sulfide-Binding Hemoglobins: Effects of Mutations on Active-Site Flexibility. Biophysical Journal. 91(5). 1698–1709. 18 indexed citations
15.
Fernández-Alberti, Sebastian, et al.. (2005). Exploring the Common Dynamics of Homologous Proteins. Application to the Globin Family. Biophysical Journal. 89(1). 3–13. 61 indexed citations
16.
Fornasari, Marı́a Silvina, Diego A. Laplagne, Nicolás Frankel, et al.. (2004). Sequence Determinants of Quaternary Structure in Lumazine Synthase. Molecular Biology and Evolution. 21(1). 97–107. 23 indexed citations
17.
Perales, Mariano, Gustavo Parisi, Alejandro Colaneri, et al.. (2004). Gamma carbonic anhydrase like complex interact with plant mitochondrial complex I. Plant Molecular Biology. 56(6). 947–957. 55 indexed citations
18.
Parisi, Gustavo, Marı́a Silvina Fornasari, & Julián Echave. (2004). Dynactins p25 and p27 are predicted to adopt the LβH fold. FEBS Letters. 562(1-3). 1–4. 15 indexed citations
19.
Parisi, Gustavo & Julián Echave. (2004). The structurally constrained protein evolution model accounts for sequence patterns of the LβH superfamily. BMC Evolutionary Biology. 4(1). 41–41. 15 indexed citations
20.
Parisi, Gustavo, Marı́a Silvina Fornasari, & Julián Echave. (2000). Evolutionary Analysis of γ-Carbonic Anhydrase and Structurally Related Proteins. Molecular Phylogenetics and Evolution. 14(3). 323–334. 14 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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