Daniela Raciti

11.5k total citations
11 papers, 253 citations indexed

About

Daniela Raciti is a scholar working on Molecular Biology, Genetics and Information Systems. According to data from OpenAlex, Daniela Raciti has authored 11 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Information Systems. Recurrent topics in Daniela Raciti's work include Biomedical Text Mining and Ontologies (5 papers), Genetic and Kidney Cyst Diseases (3 papers) and Research Data Management Practices (2 papers). Daniela Raciti is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Genetic and Kidney Cyst Diseases (3 papers) and Research Data Management Practices (2 papers). Daniela Raciti collaborates with scholars based in United States, Switzerland and Canada. Daniela Raciti's co-authors include Luca Reggiani Bonetti, André W. Brändli, Andreas Kispert, Rannar Airik, Christopher Tindal, Dave Clements, Duncan Davidson, Brigitte Kaissling, Lars Geffers and Astrid Subrizi and has published in prestigious journals such as Genes & Development, Bioinformatics and Genome biology.

In The Last Decade

Daniela Raciti

9 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Raciti United States 7 217 85 50 27 19 11 253
Toma A. Yakulov Germany 11 190 0.9× 122 1.4× 11 0.2× 16 0.6× 15 0.8× 22 281
Levente Kovács Hungary 9 136 0.6× 51 0.6× 39 0.8× 10 0.4× 8 0.4× 33 269
Hidenobu Miyazawa Japan 6 173 0.8× 25 0.3× 13 0.3× 20 0.7× 16 0.8× 10 245
Vibha Patil Australia 4 251 1.2× 46 0.5× 16 0.3× 36 1.3× 10 0.5× 6 296
Gil B. Gibori United States 10 150 0.7× 102 1.2× 13 0.3× 32 1.2× 49 2.6× 12 380
Raquel Pérez-Palacios Spain 9 455 2.1× 117 1.4× 11 0.2× 56 2.1× 20 1.1× 16 496
Uwem C. Bassey United States 5 351 1.6× 42 0.5× 5 0.1× 18 0.7× 44 2.3× 6 381
Rebecca F. Lowdon United States 8 232 1.1× 68 0.8× 13 0.3× 24 0.9× 7 0.4× 9 292
Bjørt K. Kragesteen Germany 5 189 0.9× 68 0.8× 15 0.3× 8 0.3× 3 0.2× 5 238
Terry Tansey United States 7 212 1.0× 85 1.0× 14 0.3× 11 0.4× 6 0.3× 8 271

Countries citing papers authored by Daniela Raciti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Raciti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Raciti

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

All Works

11 of 11 papers shown
2.
Wilkinson, Mark D., Chris Mungall, Scott Cain, et al.. (2024). FAIR Header Reference genome: a TRUSTworthy standard. Briefings in Bioinformatics. 25(3).
3.
Calı̀, Francesco, Emanuela Avola, Mirella Vinci, et al.. (2023). Specific Learning Disorders: Variation Analysis of 15 Candidate Genes in 9 Multiplex Families. Medicina. 59(8). 1503–1503. 4 indexed citations
4.
Li, Pengyuan, Xiangying Jiang, Gongbo Zhang, et al.. (2021). Utilizing image and caption information for biomedical document classification. Bioinformatics. 37(Supplement_1). i468–i476. 7 indexed citations
5.
Li, Pengyuan, et al.. (2021). ANIMO: Annotation of Biomed Image Modalities. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 1069–1076.
7.
Grove, Christian A, Scott Cain, Wen J. Chen, et al.. (2018). Using WormBase: A Genome Biology Resource for Caenorhabditis elegans and Related Nematodes. Methods in molecular biology. 1757. 399–470. 21 indexed citations
8.
Raciti, Daniela, Karen Yook, Todd Harris, Tim Schedl, & Paul W. Sternberg. (2018). Micropublication: incentivizing community curation and placing unpublished data into the public domain. Database. 2018. 18 indexed citations
9.
Raciti, Daniela, Luca Reggiani Bonetti, Lars Geffers, et al.. (2008). Organization of the pronephric kidney revealed by large-scale gene expression mapping. Genome biology. 9(5). R84–R84. 86 indexed citations
10.
Christensen, Erik, Daniela Raciti, Luca Reggiani Bonetti, P Verroust, & André W. Brändli. (2008). Gene expression analysis defines the proximal tubule as the compartment for endocytic receptor-mediated uptake in the Xenopus pronephric kidney. Pflügers Archiv - European Journal of Physiology. 456(6). 1163–1176. 24 indexed citations
11.
Bonetti, Luca Reggiani, Daniela Raciti, Rannar Airik, Andreas Kispert, & André W. Brändli. (2007). The prepattern transcription factor Irx3 directs nephron segment identity. Genes & Development. 21(18). 2358–2370. 81 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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