Empar Chenoll

2.6k citations
55 papers · 1.9k indexed · h-index 24

Impact in

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 5
    • Probiotics and Fermented Foods 28

Empar Chenoll

53 papers receiving 1.8k citations

Peers

Empar Chenoll
Comparison fields: 5 of 105
  • Food Science 764
  • Aging 64
  • Dermatology 267
  • Nutrition and Dietetics 359
  • Biotechnology 154
Replace Martin Schwarzer with:
Martin Schwarzer Czechia
Chul‐Sung Huh South Korea
Hana Kozáková Czechia
Dagmar Šrůtková Czechia
Rajeev Kapila India
Carolina Maldonado Galdeano Argentina
Claudio Hidalgo-Cantabrana Spain
Anne‐Judith Waligora‐Dupriet France
L.M.J. Knippels Netherlands
Pradip V. Behare India
Empar Chenoll relative to Martin Schwarzer Czechia Martin Schwarzer's profile →
Citations per field
00.5×
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
#Work
1 20250
2 20250
3 20258
4 20247
5 20236
6 20234
7 20231
8 20237
9 20235
10 202118
11 202128
12 202118
13 201982
14 201618
15 201336
16 201335
17 200569
18 200521
19 200417
20 200337

About Empar Chenoll

Empar Chenoll is a scholar working on Aging, Food Science, Nutrition and Dietetics, Molecular Biology and Infectious Diseases, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (28 papers), Gut microbiota and health (25 papers), Genomics and Phylogenetic Studies (7 papers), Infant Nutrition and Health (7 papers), Identification and Quantification in Food (6 papers), Diet and metabolism studies (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Food Science (764 citations), Aging (64 citations), Dermatology (267 citations), Nutrition and Dietetics (359 citations) and Biotechnology (154 citations). Empar Chenoll has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Daniel Ramón, Rosa Aznar, Salvador Genovés, M. Carmen Macián, Francisco M. Codoñer, Patricia Martorell, A. Ramírez-Boscá, Miguel A Carrión-Gutiérrez, Vicente Navarro-López and Eric Climent. Their work appears in journals such as Nutrients, Systematic and Applied Microbiology, Antioxidants, Frontiers in Microbiology 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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