Iván Neira

32 papers receiving 687 citations

Peers

Iván Neira
Comparison fields: 5 of 79
  • Epidemiology 372
  • Public Health, Environmental and Occupational Health 313
  • Parasitology 64
  • Aging 16
  • Physiology 27
Replace Márcia Cristina Paes with:
Márcia Cristina Paes Brazil
Elizabeth Mieko Furusho Pral Brazil
Emmanuel O. Ogbadoyi Nigeria
Daniele da Silva Ferreira Brazil
Laura C. Bartel Argentina
Yuliya Y. Kleshchenko United States
Elmo E. Almeida-Amaral Brazil
Silvia C. Alfieri Brazil
Cristina Paveto Argentina
Yolanda Pérez‐Pertejo Spain
Iván Neira relative to Márcia Cristina Paes Brazil Márcia Cristina Paes's profile →
Citations per field
00.5×3.2×
Márcia Cristina Paes · 1×
Citations per year

Countries citing papers authored by Iván Neira

Since Specialization
Citations

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

Fields of papers citing papers by Iván Neira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202069
2 200260
3 200252
4 200551
5 200143
6 200338
7 200337
8 201134
9 200633
10 200829
11 201624
12 201422
13 200322
14 200421
15 202020
16 201920
17 202217
18 199515
19 200115
20 200113

About Iván Neira

Iván Neira is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Molecular Biology, Food Science and Plant Science, having authored 32 papers that have together received 696 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (18 papers), Research on Leishmaniasis Studies (12 papers), Essential Oils and Antimicrobial Activity (5 papers), Phytochemistry and Biological Activities (4 papers), Signaling Pathways in Disease (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Retinopathy of Prematurity Studies (2 papers) and Xenotransplantation and immune response (2 papers). The work is most often cited by research in Epidemiology (372 citations), Public Health, Environmental and Occupational Health (313 citations), Parasitology (64 citations), Aging (16 citations) and Physiology (27 citations). Iván Neira has collaborated with scholars based in Chile, Brazil and Argentina. Frequent co-authors include Nobuko Yoshida, Mauro Cortéz, Alice T. Ferreira, H Sagua, Jorge E. Araya, Jorge González, Daniele da Silva Ferreira, Fernando Silva, Vanessa D. Atayde and Alejandro O. Luquetti. Their work appears in journals such as Infection and Immunity, Microbes and Infection, International Journal for Parasitology, Phytochemistry and Parasitology Research.

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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