Eva de Alba

2.1k total citations
48 papers, 1.7k citations indexed

About

Eva de Alba is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Eva de Alba has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 9 papers in Materials Chemistry and 8 papers in Spectroscopy. Recurrent topics in Eva de Alba's work include Protein Structure and Dynamics (21 papers), Inflammasome and immune disorders (10 papers) and Enzyme Structure and Function (9 papers). Eva de Alba is often cited by papers focused on Protein Structure and Dynamics (21 papers), Inflammasome and immune disorders (10 papers) and Enzyme Structure and Function (9 papers). Eva de Alba collaborates with scholars based in United States, Spain and Germany. Eva de Alba's co-authors include Nico Tjandra, M. Ángeles Jiménez, Manuel Rico, Meenakshi Sharma, José Luís Corchero, Jorge Santoro, Solly Weiler, Susana Barrera-Vilarmau, Víctor Muñoz and Lorenzo Sborgi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Eva de Alba

47 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva de Alba United States 20 1.4k 310 218 206 112 48 1.7k
Weidong Hu United States 23 1.8k 1.3× 193 0.6× 155 0.7× 183 0.9× 131 1.2× 73 2.3k
Ulrich Weininger Germany 25 1.2k 0.9× 377 1.2× 270 1.2× 194 0.9× 217 1.9× 74 1.6k
Mari L. DeMarco Canada 22 1.3k 0.9× 316 1.0× 180 0.8× 87 0.4× 335 3.0× 63 1.9k
Oliver Ohlenschläger Germany 29 1.4k 1.0× 323 1.0× 428 2.0× 122 0.6× 116 1.0× 102 2.1k
Eduard V. Bocharov Russia 30 1.8k 1.3× 120 0.4× 145 0.7× 157 0.8× 231 2.1× 114 2.3k
Teikichi Ikura Japan 21 1.1k 0.8× 439 1.4× 80 0.4× 103 0.5× 68 0.6× 55 1.7k
Jiří Novotný Czechia 29 2.3k 1.6× 410 1.3× 139 0.6× 549 2.7× 96 0.9× 91 3.2k
Woonghee Lee United States 18 1.9k 1.3× 370 1.2× 320 1.5× 152 0.7× 129 1.2× 62 2.4k
Ronald Kühne Germany 28 1.7k 1.2× 209 0.7× 177 0.8× 291 1.4× 87 0.8× 65 2.3k
Hongbin Sun China 21 1.0k 0.7× 423 1.4× 73 0.3× 179 0.9× 65 0.6× 54 1.9k

Countries citing papers authored by Eva de Alba

Since Specialization
Citations

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

Fields of papers citing papers by Eva de Alba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva de Alba. 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 Eva de Alba. The network helps show where Eva de Alba may publish in the future.

Co-authorship network of co-authors of Eva de Alba

This figure shows the co-authorship network connecting the top 25 collaborators of Eva de Alba. A scholar is included among the top collaborators of Eva de Alba 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 Eva de Alba. Eva de Alba 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.
Sharma, Meenakshi & Eva de Alba. (2023). Assembly mechanism of the inflammasome sensor AIM2 revealed by single molecule analysis. Nature Communications. 14(1). 7957–7957. 9 indexed citations
2.
Alba, Eva de, et al.. (2022). Natural and engineered inflammasome adapter proteins reveal optimum linker length for self-assembly. Journal of Biological Chemistry. 298(11). 102501–102501. 1 indexed citations
3.
Alba, Eva de, et al.. (2022). Inflammasome regulation by adaptor isoforms, ASC and ASCb, via differential self-assembly. Journal of Biological Chemistry. 298(3). 101566–101566. 10 indexed citations
4.
Alba, Eva de. (2021). NMR Analysis of Protein Folding Interaction Networks. Methods in molecular biology. 2376. 173–185.
5.
Pantoja‐Uceda, David, Javier Oroz, Cristina Fernández, et al.. (2020). Conformational Priming of RepA-WH1 for Functional Amyloid Conversion Detected by NMR Spectroscopy. Structure. 28(3). 336–347.e4. 6 indexed citations
6.
Alba, Eva de, et al.. (2019). Protein interactions of the inflammasome adapter ASC by solution NMR. Methods in enzymology on CD-ROM/Methods in enzymology. 625. 223–252. 7 indexed citations
7.
Quint, David, et al.. (2018). The inflammasome adapter ASC assembles into filaments with integral participation of its two Death Domains, PYD and CARD. Journal of Biological Chemistry. 294(2). 439–452. 44 indexed citations
8.
Barrera-Vilarmau, Susana, Patricia Obregón, & Eva de Alba. (2011). Intrinsic Order and Disorder in the Bcl-2 Member Harakiri: Insights into Its Proapoptotic Activity. PLoS ONE. 6(6). e21413–e21413. 17 indexed citations
9.
10.
Sborgi, Lorenzo, Susana Barrera-Vilarmau, Patricia Obregón, & Eva de Alba. (2010). Characterization of a Novel Interaction between Bcl-2 Members Diva and Harakiri. PLoS ONE. 5(12). e15575–e15575. 11 indexed citations
11.
Alba, Eva de & Nico Tjandra. (2006). On the accurate measurement of amide one-bond 15N–1H couplings in proteins: Effects of cross-correlated relaxation, selective pulses and dynamic frequency shifts. Journal of Magnetic Resonance. 183(1). 160–165. 9 indexed citations
12.
Alba, Eva de & Nico Tjandra. (2006). Interference between Cross-correlated Relaxation and the Measurement of Scalar and Dipolar Couplings by Quantitative J. Journal of Biomolecular NMR. 35(1). 1–16. 5 indexed citations
13.
Alba, Eva de & Nico Tjandra. (2004). Residual Dipolar Couplings in Protein Structure Determination. Humana Press eBooks. 278. 89–106. 18 indexed citations
14.
Alba, Eva de, Motoshi Suzuki, & Nico Tjandra. (2001). Simple multidimensional NMR experiments to obtain different types of one-bond dipolar couplings simultaneously. Journal of Biomolecular NMR. 19(1). 63–67. 15 indexed citations
15.
Alba, Eva de, Jorge Santoro, Manuel Rico, & M. Ángeles Jiménez. (1999). De novo design of a monomeric three‐stranded antiparallel β‐sheet. Protein Science. 8(4). 854–865. 118 indexed citations
16.
Alba, Eva de, Manuel Rico, & M. Ángeles Jiménez. (1999). The turn sequence directs β‐ strand alignment in designed β‐hairpins. Protein Science. 8(11). 2234–2244. 63 indexed citations
17.
Alba, Eva de, Manuel Rico, & M. Ángeles Jiménez. (1997). Cross‐strand side‐chain interactions versus turn conformation in β‐hairpins. Protein Science. 6(12). 2548–2560. 61 indexed citations
18.
Alba, Eva de, M. Ángeles Jiménez, Manuel Rico, & José Luís Corchero. (1996). Conformational investigation of designed short linear peptides able to fold into β-hairpin structures in aqueous solution. PubMed. 1(2). 133–144. 81 indexed citations
19.
Aceña, José Luis, Eva de Alba, Odón Arjona, & Joaquı́n Plumet. (1996). A stereodivergent synthesis of (±)-cyclophellitol and (1R∗,6S∗)-cyclophellitol from the 7-oxabicyclo-[2.2.1]hept-5-ene-2-endo-carboxylic acid. Tetrahedron Letters. 37(17). 3043–3044. 6 indexed citations
20.
Alba, Eva de, Francisco J. Blanco, M. Ángeles Jiménez, Manuel Rico, & José Luís Corchero. (1995). Interactions Responsible for the pH Dependence of the β‐Hairpin Conformational Population Formed by a Designed Linear Peptide. European Journal of Biochemistry. 233(1). 283–292. 58 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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