Ana Vindel

66 papers receiving 2.0k citations

Peers

Ana Vindel
Comparison fields: 5 of 76
  • Molecular Medicine 649
  • Endocrinology 538
  • Clinical Biochemistry 492
  • Infectious Diseases 998
  • Applied Microbiology and Biotechnology 89
Replace Monica Monaco with:
Monica Monaco Italy
Beatriz Meurer Moreira Brazil
Nicolas Fortineau France
Jorgelina Smayevsky Argentina
C. Nonhoff Belgium
José R. Mediavilla United States
John E. Corkill United Kingdom
Yunsop Chong South Korea
Jiachang Cai China
Jean Duval France
Ana Vindel relative to Monica Monaco Italy Monica Monaco's profile →
Citations per field
00.5×1.5×1.8×
Monica Monaco · 1×
Citations per year

Countries citing papers authored by Ana Vindel

Since Specialization
Citations

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

Fields of papers citing papers by Ana Vindel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012104
2 2004101
3 201087
4 200482
5 200981
6 200176
7 200969
8 201168
9 201365
10 201264
11 199562
12 200861
13 201260
14 201459
15 200653
16 200851
17 200250
18 200850
19 200149
20 200248

About Ana Vindel

Ana Vindel is a scholar working on Infectious Diseases, Molecular Biology, Clinical Biochemistry, Molecular Medicine and Endocrinology, having authored 66 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (35 papers), Bacterial biofilms and quorum sensing (22 papers), Bacterial Identification and Susceptibility Testing (20 papers), Antibiotic Resistance in Bacteria (15 papers), Infections and bacterial resistance (9 papers), Streptococcal Infections and Treatments (7 papers), Plant Pathogenic Bacteria Studies (6 papers) and Microbial infections and disease research (4 papers). The work is most often cited by research in Molecular Medicine (649 citations), Endocrinology (538 citations), Clinical Biochemistry (492 citations), Infectious Diseases (998 citations) and Applied Microbiology and Biotechnology (89 citations). Ana Vindel has collaborated with scholars based in Spain, Argentina and Netherlands. Frequent co-authors include Sylvia Valdezate, Fernando Baquero, Rafael Cantón, Óscar Cuevas, Emilia Cercenado, Juan Antonio Sáez-Nieto, P. Trincado, Claudia Sola, Emilio Bouza and José Luís Bocco. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, Antimicrobial Agents and Chemotherapy and Epidemiology and Infection.

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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