Eva Moreno

1.4k citations
30 papers · 1.0k indexed · h-index 16

Eva Moreno

29 papers receiving 993 citations

Peers

Eva Moreno
Comparison fields: 5 of 91
  • Endocrinology 574
  • Molecular Medicine 409
  • Applied Microbiology and Biotechnology 17
  • Epidemiology 277
  • Food Science 131
Replace Sophie Vimont with:
Sophie Vimont France
Drew J. Schwartz United States
Paúl Cárdenas Ecuador
Miles Denton United Kingdom
Emma Padilla Spain
SC Parija India
Catherine Doherty United Kingdom
Yvonne Yau Canada
Silja Mentula Finland
Mesut Yılmaz Türkiye
Eva Moreno relative to Sophie Vimont France Sophie Vimont's profile →
Citations per field
00.5×1.5×
Sophie Vimont · 1×
Citations per year

Countries citing papers authored by Eva Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Eva Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20237
3 20235
4 20224
5 202035
6 20183
7 201634
8 20144
9 20132
10 201336
11
El poder como genealogía de la identidad de género
20121
12 200926
13 20087
14 200817
15 200891
16 200730
17 200674
18 2006125
19
Estudio comparativo de la actividad antimicrobiana de diferentes presentaciones comerciales de antibióticos de administración intravenosa a través de métodos in vitro
20052
20 200567

About Eva Moreno

Eva Moreno is a scholar working on Endocrinology, Molecular Medicine, Medical Laboratory Technology, Applied Microbiology and Biotechnology and Neurology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Antibiotic Resistance in Bacteria (6 papers), Respiratory Support and Mechanisms (5 papers), Long-Term Effects of COVID-19 (5 papers), COVID-19 and Mental Health (4 papers), Injury Epidemiology and Prevention (3 papers) and Urinary Tract Infections Management (3 papers). The work is most often cited by research in Endocrinology (574 citations), Molecular Medicine (409 citations), Applied Microbiology and Biotechnology (17 citations), Epidemiology (277 citations) and Food Science (131 citations). Eva Moreno has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Antònia Andreu, Guillem Prats, Montserrat Sabaté, Teresa Pérez, James R. Johnson, Michael A. Kuskowski, Carles Pigrau, Eulogio Pleguezuelos, Marc Miravitlles and Anicet R. Blanch. Their work appears in journals such as Lung, International Journal of COPD, Research in Microbiology, Journal of Cachexia Sarcopenia and Muscle 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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