Esmeralda Vicedo

1.4k total citations
10 papers, 229 citations indexed

About

Esmeralda Vicedo is a scholar working on Molecular Biology, Information Systems and Management and Ecology. According to data from OpenAlex, Esmeralda Vicedo has authored 10 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Information Systems and Management and 2 papers in Ecology. Recurrent topics in Esmeralda Vicedo's work include Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Esmeralda Vicedo is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Esmeralda Vicedo collaborates with scholars based in Germany, United States and Switzerland. Esmeralda Vicedo's co-authors include Burkhard Rost, Avner Schlessinger, Christian Schaefer, Marco Punta, Manuel J. A. Eugster, Christine Porzelius, Jochen Knaus, Stefan Seemayer, Denis Krompaß and Peter Hönigschmid and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Current Opinion in Structural Biology.

In The Last Decade

Esmeralda Vicedo

10 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Esmeralda Vicedo Germany	7	174	42	29	20	18	10	229
Mindaugas Margelevičius Lithuania	9	247 1.4×	88 2.1×	19 0.7×	26 1.3×	24 1.3×	20	296
Jürgen Jänes United Kingdom	7	269 1.5×	27 0.6×	34 1.2×	38 1.9×	25 1.4×	9	331
Bernd Roechert Switzerland	3	186 1.1×	10 0.2×	14 0.5×	20 1.0×	15 0.8×	3	223
Lai-Su Yeh United States	8	237 1.4×	26 0.6×	44 1.5×	26 1.3×	42 2.3×	8	295
Mehmet Akdel Netherlands	5	177 1.0×	30 0.7×	27 0.9×	11 0.6×	13 0.7×	7	218
Jan Ludwiczak Poland	8	238 1.4×	43 1.0×	23 0.8×	22 1.1×	11 0.6×	21	310
Gabrielle A. Reeves United Kingdom	7	249 1.4×	67 1.6×	10 0.3×	15 0.8×	8 0.4×	7	263
Sambit Kumar Mishra United States	8	237 1.4×	27 0.6×	53 1.8×	18 0.9×	16 0.9×	22	302
Russell L. Marsden United Kingdom	8	325 1.9×	96 2.3×	12 0.4×	15 0.8×	12 0.7×	8	355

Countries citing papers authored by Esmeralda Vicedo

Since Specialization

Citations

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

Fields of papers citing papers by Esmeralda Vicedo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Esmeralda Vicedo

This figure shows the co-authorship network connecting the top 25 collaborators of Esmeralda Vicedo. A scholar is included among the top collaborators of Esmeralda Vicedo 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 Esmeralda Vicedo. Esmeralda Vicedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Vicedo, Esmeralda, Avner Schlessinger, & Burkhard Rost. (2015). Environmental Pressure May Change the Composition Protein Disorder in Prokaryotes. PLoS ONE. 10(8). e0133990–e0133990. 10 indexed citations

Francescatto, Margherita, et al.. (2015). Highlights from the Third European International Society for Computational Biology (ISCB) Student Council Symposium 2014. BMC Bioinformatics. 16(S3). A1–9. 8 indexed citations

Rahman, Farzana, Annika Jacobsen, Alexander Junge, et al.. (2015). Highlights from the tenth ISCB Student Council Symposium 2014. BMC Bioinformatics. 16(S2). A1–10. 5 indexed citations

Domenico, Tomás Di, et al.. (2014). Highlights from the Ninth International Society for Computational Biology (ISCB) Student Council Symposium 2013. 1 indexed citations

Domenico, Tomás Di, et al.. (2014). Highlights from the ISCB Student Council Symposium 2013. BMC Bioinformatics. 15(S3). A1–9. 2 indexed citations

Kaján, László, Guy Yachdav, Esmeralda Vicedo, et al.. (2013). Cloud Prediction of Protein Structure and Function with PredictProtein for Debian. BioMed Research International. 2013. 1–6. 9 indexed citations

Hamp, Tobias, Stefan Seemayer, Esmeralda Vicedo, et al.. (2013). Homology-based inference sets the bar high for protein function prediction. BMC Bioinformatics. 14(S3). S7–S7. 51 indexed citations

Schlessinger, Avner, et al.. (2011). Protein disorder—a breakthrough invention of evolution?. Current Opinion in Structural Biology. 21(3). 412–418. 115 indexed citations

Eugster, Manuel J. A., et al.. (2010). Hands-on tutorial for parallel computing with R. Computational Statistics. 26(2). 219–239. 19 indexed citations

10.

Vicedo, Esmeralda, et al.. (2009). affyPara—a Bioconductor Package for Parallelized Preprocessing Algorithms of Affymetrix Microarray Data. Bioinformatics and Biology Insights. 3. BBI.S3060–BBI.S3060. 9 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.

Explore authors with similar magnitude of impact