Nívison Nery

29 papers receiving 652 citations

Peers

Nívison Nery
Comparison fields: 5 of 77
  • Parasitology 276
  • Infectious Diseases 371
  • Public Health, Environmental and Occupational Health 342
  • Modeling and Simulation 45
  • Small Animals 38
Replace Germán Arrieta with:
Germán Arrieta Colombia
Kyle Ryff Puerto Rico
Maria P. Rebollo United Kingdom
B. E. B. Nwoke Nigeria
Sam Zaramba Uganda
Ana Carolina Bernardes Terzian Brazil
Gielson Almeida do Sacramento Brazil
Giuseppina Napoletano Italy
Tippi K. Mak Switzerland
Birgit Nikolay United Kingdom
Nívison Nery relative to Germán Arrieta Colombia Germán Arrieta's profile →
Citations per field
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Germán Arrieta · 1×
Citations per year

Countries citing papers authored by Nívison Nery

Since Specialization
Citations

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

Fields of papers citing papers by Nívison Nery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016238
2 2016138
3 201941
4 201728
5 202126
6 201826
7 201625
8 202224
9 202018
10 202116
11 201814
12 201610
13 20188
14 20217
15 20246
16 20166
17 20205
18 20175
19 20225
20 20195

About Nívison Nery

Nívison Nery is a scholar working on Parasitology, Infectious Diseases, Public Health, Environmental and Occupational Health, Small Animals and Pediatrics, Perinatology and Child Health, having authored 30 papers that have together received 671 indexed citations. Recurring topics across this work include Leptospirosis research and findings (17 papers), Viral Infections and Vectors (12 papers), Mosquito-borne diseases and control (7 papers), Veterinary medicine and infectious diseases (3 papers), Zoonotic diseases and public health (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Pandemic Impacts (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Parasitology (276 citations), Infectious Diseases (371 citations), Public Health, Environmental and Occupational Health (342 citations), Modeling and Simulation (45 citations) and Small Animals (38 citations). Nívison Nery has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Albert I. Ko, Federico Costa, Gielson Almeida do Sacramento, Mitermayer Galvão dos Reis, Ricardo Khouri, Antonio R.P. de Almeida, Luciane Amorim Santos, Manoel Sarno, Mateus Santana do Rosário and Nikos Vasilakis. Their work appears in journals such as PLoS neglected tropical diseases, Emerging infectious diseases, American Journal of Tropical Medicine and Hygiene, Tropical Medicine and Infectious Disease and International Journal of Infectious Diseases.

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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