Eva Borràs

4.2k citations
58 papers · 2.4k indexed · 1 hit paper · h-index 25

Eva Borràs

54 papers receiving 2.3k citations

Hit Papers

Data fusion methodologies for food and beverage authentic...5732015202620182022100200300400500

Peers

Eva Borràs
Comparison fields: 5 of 142
  • Analytical Chemistry 601
  • Biochemistry 180
  • Biophysics 102
  • Molecular Biology 1.1k
  • Spectroscopy 241
Replace Daniël J. Vis with:
Daniël J. Vis Netherlands
Suzanne Smit Netherlands
Xiaoli Yin China
Pär Jonsson Sweden
Koji Nagao Japan
Juan Wang China
Conrad Bessant United Kingdom
Saroj Kumar India
Ting Zhao China
Jinhui Wang China
Eva Borràs relative to Daniël J. Vis Netherlands Daniël J. Vis's profile →
Citations per field
00.5×4.5×
Daniël J. Vis · 1×
Citations per year

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-authorship network

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
#Work
1 20252
2 20250
3 20251
4 20230
5 20235
6 20231
7 202122
8 202126
9 201936
10 201929
11 201940
12 201929
13 201954
14 201629
15
Data fusion methodologies for food and beverage authentication and quality assessment – A reviewbreakdown →
2015573
16 201425
17
DETERMINATION OF THE TANNING DEGREE OF VEGETABLE-TANNED LEATHER BY INFRARED SPECTROSCOPY (FTIR)
20114
18
BINDERS CROSS-LINKED WITH POLYAZIRIDINE. STUDY OF CROSS-LINKED POLYMERS FOR AQUEOUS FINISHING. PART III: INFLUENCE OF A CATIONIC PRE-BOTTOM
20093
19 2009224
20 20016

About Eva Borràs

Eva Borràs is a scholar working on Analytical Chemistry, Spectroscopy, Biochemistry, Molecular Biology and Agronomy and Crop Science, having authored 58 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (6 papers), Spectroscopy and Chemometric Analyses (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Chemical Sensor Technologies (4 papers), Viral Infections and Immunology Research (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Analytical Chemistry (601 citations), Biochemistry (180 citations), Biophysics (102 citations), Molecular Biology (1.1k citations) and Spectroscopy (241 citations). Eva Borràs has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Olga Busto, Ricard Boqué, Eduard Sabidó, Montserrat Mestres, Laura Aceña, Joan Ferré, Cristina Chiva, Silvia Millán‐Martín, Lluı́s Arola and Josep Valls. Their work appears in journals such as Scientific Reports, Analytical Chemistry, Food Chemistry, Journal of Virology and Molecular Cell.

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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