Violeta Chávez

892 citations
16 papers · 624 · h-index 10

Impact in

Papers in

Violeta Chávez

15 papers receiving 618 citations

Peers

Violeta Chávez
Comparison fields: 5 of 93
  • Aging 217
  • Endocrine and Autonomic Systems 82
  • Biological Psychiatry 29
  • Toxicology 37
  • Molecular Medicine 48
Replace Luis Alberto Vega with:
Luis Alberto Vega United States
James Prabhanand Bhaskar India
Alexey V. Revtovich United States
Hongbing Han China
Sho Takahata Japan
Ikechukwu Okoli Nigeria
Daniel M. Czyż United States
Edith Bruckner-Kardoss United States
Kavita J. Rangan United States
Tomohiro Moriya Japan
Violeta Chávez relative to Luis Alberto Vega United States Luis Alberto Vega's profile →
Citations per field
00.5×9.3×
Luis Alberto Vega · 1×
Citations per year

Countries citing papers authored by Violeta Chávez

Since Specialization
Citations

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

Fields of papers citing papers by Violeta Chávez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007176
2 2009149
3 2009117
4 200464
5 201534
6 201618
7
Microbiology and Molecular Diagnosis in Pathology: A Comprehensive Review for Board Preparation, Certification and Clinical Practice
201718
8 201918
9 201610
10 20169
11 20154
12 20232
13 20202
14
Morphoproteomic Features of Pulmonary Influenza A (H1N1) with Therapeutic Implications: A Case Study.
20222
15 20181
16 20250

About Violeta Chávez

Violeta Chávez is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Aging and Endocrine and Autonomic Systems, having authored 16 papers that have together received 624 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Circadian rhythm and melatonin (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Gut microbiota and health (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Antifungal resistance and susceptibility (2 papers), Nail Diseases and Treatments (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Aging (217 citations), Endocrine and Autonomic Systems (82 citations), Biological Psychiatry (29 citations), Toxicology (37 citations) and Molecular Medicine (48 citations). Violeta Chávez has collaborated with scholars based in United States, Switzerland and Mexico. Frequent co-authors include Danielle A. Garsin, Luis Alberto Vega, José A. Lemos, Alaina R. Martinez, Jacqueline Abranches, Jessica K. Kajfasz, Ransome van der Hoeven, Audrey Wanger, Todd P. Primm and Luis E. Martínez. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, American Journal of Infection Control, Open Forum Infectious Diseases 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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