Esmeralda Vicedo

1.4k citations
10 papers · 229 indexed · h-index 7
Topics
Genomics and Phylogenetic Studies (6 papers)Bioinformatics and Genomic Networks (3 papers)Genetics, Bioinformatics, and Biomedical Research (3 papers)

In The Last Decade

Esmeralda Vicedo

10 papers receiving 226 citations

Peers

Esmeralda Vicedo
Comparison fields: 5 of 74
  • Molecular Biology 174
  • Materials Chemistry 42
  • Plant Science 29
  • Genetics 20
  • Ecology 18
Replace Mindaugas Margelevičius with:
Mindaugas Margelevičius Lithuania
Sambit Kumar Mishra United States
Buvaneswari Coimbatore Narayanan United States
Jan Ludwiczak Poland
Thomas D. Newport United Kingdom
Jürgen Jänes United Kingdom
Vykintas Jauniškis Lithuania
Runze Dong China
Gabrielle A. Reeves United Kingdom
Esmeralda Vicedo relative to Mindaugas Margelevičius Lithuania Mindaugas Margelevičius's profile →
Citations per field
00.5×1.5×1.9×
Mindaugas Margelevičius · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 10
2 5
3 8
4 2
5
Highlights from the Ninth International Society for Computational Biology (ISCB) Student Council Symposium 2013
1
6 51
7 9
8 115
9 19
10 9

About Esmeralda Vicedo

Esmeralda Vicedo is a scholar working on Information Systems and Management, Endocrinology and Molecular Biology, having authored 10 papers that have together received 229 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Bioinformatics and Genomic Networks (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Molecular Biology (174 citations), Microbiology (1 citation) and Endocrinology (6 citations). Esmeralda Vicedo has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Burkhard Rost, Avner Schlessinger, Christian Schaefer, Marco Punta, Christine Porzelius, Jochen Knaus, Manuel J. A. Eugster, Florian Auer, Peter Hönigschmid and Tatjana Braun. Their work appears in journals such as PLoS ONE, BMC Bioinformatics and Current Opinion in Structural Biology.

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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