Eva Borràs

4.5k citations
76 papers · 3.3k · 2 hit papers · h-index 30

Impact in

Papers in

Eva Borràs

73 papers receiving 3.3k citations

Eva Borràs's Hit Papers

Multi-omics signatures of the human early life exposome 2022 · 126 citations
1260+3+7Years since publication200400600

Peers

Eva Borràs
Comparison fields: 5 of 154
  • Analytical Chemistry 635
  • Biochemistry 191
  • Health, Toxicology and Mutagenesis 359
  • Molecular Biology 1.3k
  • Biophysics 105
Replace Nan Mei with:
Nan Mei United States
Anastasios (Tassos) Koidis United Kingdom
Jian Tao Yang China
Chen Dai China
Yanjiao Zhang China
Changhong Liu China
Baolin Liu China
Zhi Liu China
Jianying Li China
William S. Branham United States
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Countries citing papers authored by Eva Borràs

Since Specialization
Citations

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

Fields of papers citing papers by Eva Borràs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Borràs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Borràs Line = papers co-authored together Eva Borràs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data fusion methodologies for food and beverage authentication and quality assessment – A review
Hit paper breakdown →
2015637
2 2010251
3 2009250
4 2018203
5 2018139
6
Multi-omics signatures of the human early life exposome
Hit paper breakdown →
2022126
7 2017108
8 2008100
9 201697
10 200388
11 202174
12 202071
13 201965
14 202055
15 202152
16 201652
17 201348
18 200043
19 201742
20 201942

About Eva Borràs

Eva Borràs is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Analytical Chemistry, Spectroscopy and Physiology, having authored 76 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Health, Environment, Cognitive Aging (8 papers), Spectroscopy and Chemometric Analyses (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Chemical Sensor Technologies (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Analytical Chemistry (635 citations), Biochemistry (191 citations), Health, Toxicology and Mutagenesis (359 citations), Molecular Biology (1.3k citations) and Biophysics (105 citations). Eva Borràs has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Ricard Boqué, Olga Busto, Eduard Sabidó, Joan Ferré, Laura Aceña, Montserrat Mestres, Cristina Chiva, Josep Valls, Lluı́s Arola and Clemencia Pinilla. Their work appears in journals such as Analytical Chemistry, Nature Communications, Environment International, Food Chemistry and Scientific Reports.

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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