Empar Chenoll

53 papers receiving 2.0k citations

Peers

Empar Chenoll
Comparison fields: 5 of 109
  • Food Science 801
  • Aging 64
  • Dermatology 245
  • Nutrition and Dietetics 371
  • Biotechnology 162
Replace Martin Schwarzer with:
Martin Schwarzer Czechia
Chul‐Sung Huh South Korea
Dagmar Šrůtková Czechia
Hana Kozáková Czechia
Claudio Hidalgo-Cantabrana Spain
Rajeev Kapila India
Pradip V. Behare India
Carolina Maldonado Galdeano Argentina
Joseph M. Pickard United States
L.M.J. Knippels Netherlands
Empar Chenoll relative to Martin Schwarzer Czechia Martin Schwarzer's profile →
Citations per field
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Martin Schwarzer · 1×
Citations per year

Countries citing papers authored by Empar Chenoll

Since Specialization
Citations

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

Fields of papers citing papers by Empar Chenoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Empar Chenoll, 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 Empar Chenoll Line = papers co-authored together Empar Chenoll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 2018163
3 2017142
4 2010123
5 2011109
6 201989
7 200686
8 201786
9 202182
10 200575
11 202174
12 201667
13 201361
14 201955
15 200647
16 201843
17 200341
18 201741
19 201340
20 202139

About Empar Chenoll

Empar Chenoll is a scholar working on Molecular Biology, Food Science, Nutrition and Dietetics, Infectious Diseases and Physiology, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (25 papers), Gut microbiota and health (23 papers), Genomics and Phylogenetic Studies (7 papers), Infant Nutrition and Health (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Diet and metabolism studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Identification and Quantification in Food (4 papers). The work is most often cited by research in Food Science (801 citations), Aging (64 citations), Dermatology (245 citations), Nutrition and Dietetics (371 citations) and Biotechnology (162 citations). Empar Chenoll has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Daniel Ramón, Rosa Aznar, Salvador Genovés, M. Carmen Macián, Francisco M. Codoñer, Patricia Martorell, Miguel A Carrión-Gutiérrez, A. Ramírez-Boscá, Vicente Navarro-López and Eric Climent. Their work appears in journals such as Nutrients, Systematic and Applied Microbiology, Antioxidants, Journal of Animal Science and Frontiers in Cellular and Infection Microbiology.

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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