Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Introducing the FAIR Principles for research software
2022175 citationsMichelle Barker, Neil Chue Hong et al.Scientific Dataprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Leyla Jael Castro
Since
Specialization
Citations
This map shows the geographic impact of Leyla Jael Castro'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 Leyla Jael Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leyla Jael Castro more than expected).
Fields of papers citing papers by Leyla Jael Castro
This network shows the impact of papers produced by Leyla Jael Castro. 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 Leyla Jael Castro. The network helps show where Leyla Jael Castro may publish in the future.
Co-authorship network of co-authors of Leyla Jael Castro
This figure shows the co-authorship network connecting the top 25 collaborators of Leyla Jael Castro.
A scholar is included among the top collaborators of Leyla Jael Castro 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 Leyla Jael Castro. Leyla Jael Castro is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Castro, Leyla Jael, Stian Soiland‐Reyes, & Dietrich Rebholz‐Schuhmann. (2023). RO-Crates Meets FAIR Digital Objects. Research Explorer (The University of Manchester). 1.1 indexed citations
Barker, Michelle, Neil Chue Hong, Daniel S. Katz, et al.. (2022). Introducing the FAIR Principles for research software. Scientific Data. 9(1). 622–622.175 indexed citations breakdown →
Castro, Leyla Jael, et al.. (2012). Conceptual Exploration of Documents and Digital Libraries in the Biomedical Domain..2 indexed citations
15.
Kutz, Oliver, Till Mossakowski, Janna Hastings, Leyla Jael Castro, & Aleksandra Šojić. (2011). Hyperontology for the Biomedical Ontologist: A Sketch and Some Examples..3 indexed citations
16.
Castro, Leyla Jael, et al.. (2011). Annotating Experimental Records Using Ontologies..1 indexed citations
17.
Castro, Leyla Jael, et al.. (2010). ANOTACIÓN SEMÁNTICA DE IMÁGENES MÉDICAS. SHILAP Revista de lepidopterología.1 indexed citations
18.
Castro, Leyla Jael, et al.. (2010). Semantic Annotation of Medical Images. Acta Biológica Colombiana. 15(3). 181–196.3 indexed citations
19.
Sequeda, Juan, et al.. (2009). Overcoming database heterogeneity to facilitate social networks: the Colombian displaced population as a case study. UPM Digital Archive (Technical University of Madrid).2 indexed citations
20.
Kehagias, Dionysios, Leyla Jael Castro, Dimitrios Giakoumis, & Dimitrios Tzovaras. (2008). A semantic web service alignment tool. International Semantic Web Conference. 76–77.1 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.