María J. Espuny

1.3k citations
20 papers · 1.1k indexed · h-index 15

María J. Espuny

19 papers receiving 1.0k citations

Peers

María J. Espuny
Comparison fields: 5 of 95
  • Pollution 730
  • Health, Toxicology and Mutagenesis 175
  • Environmental Chemistry 101
  • Ecology 179
  • Biotechnology 60
Replace Amedea Perfumo with:
Amedea Perfumo United Kingdom
Yoshihiko Hirata Japan
Evgenia Vasileva−Tonkova Bulgaria
Akihiro Hara Japan
H. L. Fredrickson United States
Matthew J. Grossman Brazil
Danka Galabova Bulgaria
Karina Sałek United Kingdom
Eungbin Kim South Korea
Jesùs Sànchez Spain
María J. Espuny relative to Amedea Perfumo United Kingdom Amedea Perfumo's profile →
Citations per field
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Citations per year

Countries citing papers authored by María J. Espuny

Since Specialization
Citations

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

Fields of papers citing papers by María J. Espuny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María J. Espuny. 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 María J. Espuny. The network helps show where María J. Espuny may publish in the future.

Co-authorship network

The 17 scholars most cited alongside María J. Espuny, 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 María J. Espuny Line = papers co-authored together María J. Espuny links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201325
2 201114
3 201135
4 201042
5 200960
6 200950
7 200834
8 200845
9 200834
10 200725
11 20072
12 200752
13 20075
14 20071
15 200681
16 2006136
17 200665
18 2005354
19
Eduardo Dato y la legislación obrera
20021
20 19919

About María J. Espuny

María J. Espuny is a scholar working on Pollution, Health, Toxicology and Mutagenesis, Analytical Chemistry, Spectroscopy and Molecular Biology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (15 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Toxic Organic Pollutants Impact (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Protein Structure and Dynamics (2 papers), Surfactants and Colloidal Systems (2 papers), Petroleum Processing and Analysis (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Pollution (730 citations), Health, Toxicology and Mutagenesis (175 citations), Environmental Chemistry (101 citations), Ecology (179 citations) and Biotechnology (60 citations). María J. Espuny has collaborated with scholars based in Spain. Frequent co-authors include Ángeles Manresa, Francisco J. Aranda, José A. Teruel, Ana M. Marqués, António Ortiz, Marc Viñas, Jordi Sabaté, A.M. Solanas, Marina Sánchez and E. Palacios‐Lidón. Their work appears in journals such as Langmuir, Chemistry and Physics of Lipids, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Colloid and Interface Science and International Journal of Pharmaceutics.

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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