Federico López

2.1k total citations · 1 hit paper
7 papers, 195 citations indexed

About

Federico López is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Federico López has authored 7 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Genetics. Recurrent topics in Federico López's work include Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (3 papers) and Genomics and Rare Diseases (1 paper). Federico López is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Semantic Web and Ontologies (3 papers) and Genomics and Rare Diseases (1 paper). Federico López collaborates with scholars based in United Kingdom, Colombia and Spain. Federico López's co-authors include Tudor Groza, Helen Parkinson, Sara Wells, Violeta Muñoz‐Fuentes, Ann‐Marie Mallon, Aaron McCoy, Pilar Cacheiro, Luís Santos, Robert Wilson and Damian Smedley and has published in prestigious journals such as Nucleic Acids Research, PeerJ and Journal of Biomedical Semantics.

In The Last Decade

Federico López

6 papers receiving 194 citations

Hit Papers

align trajectories

What are hit papers?

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.

The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease

2022 171 citations Tudor Groza, Federico López et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Federico López United Kingdom	4	121	58	17	16	14	7	195
Mohamed El-Kalioby Saudi Arabia	9	125 1.0×	116 2.0×	10 0.6×	17 1.1×	17 1.2×	12	293
Frederic Bastian Switzerland	9	203 1.7×	28 0.5×	7 0.4×	20 1.3×	9 0.6×	17	266
Jeff De Pons United States	13	398 3.3×	121 2.1×	26 1.5×	38 2.4×	7 0.5×	19	520
Zheng Zha China	9	196 1.6×	26 0.4×	18 1.1×	35 2.2×	15 1.1×	22	309
Andrian Yang Australia	9	224 1.9×	26 0.4×	17 1.0×	20 1.3×	11 0.8×	14	281
Herman H. H. B. M. van Haagen Netherlands	7	253 2.1×	68 1.2×	32 1.9×	58 3.6×	35 2.5×	7	361
Jianguo Rao United Kingdom	6	299 2.5×	63 1.1×	5 0.3×	15 0.9×	22 1.6×	6	367
Daniela Raciti United States	7	217 1.8×	85 1.5×	7 0.4×	9 0.6×	19 1.4×	11	253
Kyung Dae Ko United States	9	261 2.2×	37 0.6×	34 2.0×	28 1.8×	14 1.0×	18	324
Lori E Corbani United States	3	156 1.3×	40 0.7×	15 0.9×	14 0.9×	14 1.0×	4	217

Countries citing papers authored by Federico López

Since Specialization

Citations

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

Fields of papers citing papers by Federico López

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico López

This figure shows the co-authorship network connecting the top 25 collaborators of Federico López. A scholar is included among the top collaborators of Federico López 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 Federico López. Federico López 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:

7 of 7 papers shown

1.

Wilson, Robert, Min‐Yen Kan, Piia Keskivali-Bond, et al.. (2025). International Mouse Phenotyping Consortium Portal: facilitating investigation of gene function and providing insights into human disease. Nucleic Acids Research. 54(D1). D1133–D1142.

2.

Perova, Zinaida, Federico López, Csaba Halmagyi, et al.. (2022). PDCM Finder: an open global research platform for patient-derived cancer models. Nucleic Acids Research. 51(D1). D1360–D1366. 8 indexed citations

3.

Groza, Tudor, Federico López, Violeta Muñoz‐Fuentes, et al.. (2022). The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease. Nucleic Acids Research. 51(D1). D1038–D1045. 171 indexed citations breakdown →

4.

García, Alexander, et al.. (2018). Biotea: semantics for Pubmed Central. PeerJ. 6. e4201–e4201. 4 indexed citations

5.

López, Federico, et al.. (2018). SMARTProtocols/SMARTProtocols.github.io: First release of SMARTProtocols.github.io. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

6.

García, Alexander, et al.. (2017). Using semantics for representing experimental protocols. Journal of Biomedical Semantics. 8(1). 52–52. 8 indexed citations

7.

López, Federico, et al.. (2012). SMITag: A social network for semantic annotation of medical images. 15. 1–7. 3 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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