Antonio Fabregat

21.2k citations
15 papers · 2.9k indexed · 2 hit papers · h-index 10
Topics
Bioinformatics and Genomic Networks (11 papers)Microbial Metabolic Engineering and Bioproduction (6 papers)Advanced Proteomics Techniques and Applications (5 papers)

In The Last Decade

Antonio Fabregat

15 papers receiving 2.9k citations

Hit Papers

The Proteomics Identifications (PRIDE) database and assoc...20122026201620212012201750010001.5k

Peers

Antonio Fabregat
Comparison fields: 5 of 143
  • Molecular Biology 1.8k
  • Spectroscopy 453
  • Immunology 334
  • Cancer Research 269
  • Oncology 260
Replace Noemí del‐Toro with:
Noemí del‐Toro United Kingdom
Emanuele Alpi United Kingdom
Gerhard Mayer Germany
Sheenah M. Mische United States
Songfeng Wu China
Linn Fagerberg Sweden
Tobias Ternent United Kingdom
David García‐Seisdedos Spain
Daniel Ríos United Kingdom
Jingwen Bai China
Antonio Fabregat relative to Noemí del‐Toro United Kingdom Noemí del‐Toro's profile →
Citations per field
00.5×1.5×1.8×
Noemí del‐Toro · 1×
Citations per year

Countries citing papers authored by Antonio Fabregat

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Fabregat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Fabregat

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 183
2 9
3 3
4 169
5
Reactome pathway analysis: a high-performance in-memory approachbreakdown →
533
6 124
7 115
8 41
9 15
10 34
11 60
12
The Proteomics Identifications (PRIDE) database and associated tools: status in 2013breakdown →
1638
13 1
14 1
15 1

About Antonio Fabregat

Antonio Fabregat is a scholar working on Spectroscopy, Molecular Biology and Genetics, having authored 15 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (11 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Advanced Proteomics Techniques and Applications (5 papers). The work is most often cited by research in Spectroscopy (453 citations), Molecular Biology (1.8k citations) and Cancer Research (269 citations). Antonio Fabregat has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Henning Hermjakob, Konstantinos Sidiropoulos, Guilherme Viteri, Johannes Griss, Peter D’Eustachio, Lincoln Stein, Juan Antonio Vizcaíno, Joseph Foster, Pablo Marín-García and Rui Wang. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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