Laís Anversa

19 papers receiving 280 citations

Peers

Laís Anversa
Comparison fields: 5 of 67
  • Public Health, Environmental and Occupational Health 125
  • Molecular Medicine 23
  • Endocrinology 19
  • Parasitology 18
  • Epidemiology 60
Replace Ana Paula Sampaio Feitosa with:
Ana Paula Sampaio Feitosa Brazil
S. Steve Yan United States
Marina P. Volegova United States
Mahesh Shanker Dhar India
Jizi Zhao China
Ahmed A. Abdulhaq Saudi Arabia
Thiago César Nascimento Brazil
Whitni K. Redman United States
Muhammad Mumtaz Khan Pakistan
Syota Murata Japan
Laís Anversa relative to Ana Paula Sampaio Feitosa Brazil Ana Paula Sampaio Feitosa's profile →
Citations per field
00.5×3.2×
Ana Paula Sampaio Feitosa · 1×
Citations per year

Countries citing papers authored by Laís Anversa

Since Specialization
Citations

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

Fields of papers citing papers by Laís Anversa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201898
2 202150
3 202233
4 201521
5 201919
6 201712
7 20218
8 20188
9 20137
10 20216
11 20185
12 20224
13 20193
14 20193
15 20192
16 20182
17 20232
18 20202
19 20161
20 20200

About Laís Anversa

Laís Anversa is a scholar working on Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases and Pollution, having authored 20 papers that have together received 286 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (5 papers), Bacterial biofilms and quorum sensing (5 papers), Trypanosoma species research and implications (4 papers), Antifungal resistance and susceptibility (4 papers), Fungal Infections and Studies (3 papers), Antibiotic Resistance in Bacteria (3 papers), Plant Pathogens and Fungal Diseases (3 papers) and Water Quality and Pollution Assessment (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (125 citations), Molecular Medicine (23 citations), Endocrinology (19 citations), Parasitology (18 citations) and Epidemiology (60 citations). Laís Anversa has collaborated with scholars based in Brazil, Paraguay and Venezuela. Frequent co-authors include Virgínia Bodelão Richini‐Pereira, Gerson Nakazato, Renata Katsuko Takayama Kobayashi, Gabriel Antônio Nogueira Nascentes, Luciana da Silva Ruiz, Doroti de Oliveira Garcia, Lucy Megumi Yamauchi, Sueli Fumie Yamada‐Ogatta, Eliandro Reis Tavares and Vera Lúcia Mores Rall. Their work appears in journals such as Medical Mycology, Frontiers in Cellular and Infection Microbiology, Mycoses, Clinical and Vaccine Immunology and Epidemiologia e Serviços de Saúde.

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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