Javier Nieto
- Public Health, Environmental and Occupational Health top 1%
- Epidemiology top 5%
- Parasitology top 1%
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Carmen CañavateJavier MorenoJorge AlvarRicardo MolinaIsrael CruzVishesh K. KapurConrad IberKingman P. Strohl
- Topics
- Research on Leishmaniasis Studies (21 papers)Trypanosoma species research and implications (20 papers)Systemic Lupus Erythematosus Research (3 papers)
- Cited by
- ParasitologyPublic Health, Environmental and Occupational HealthEndocrine and Autonomic Systems
- Partner nations
- SpainUnited StatesArgentina
In The Last Decade
Javier Nieto
46 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 116
- Public Health, Environmental and Occupational Health 1.3k
- Epidemiology 910
- Parasitology 404
- Physiology 372
- Pulmonary and Respiratory Medicine 287
Countries citing papers authored by Javier Nieto
This map shows the geographic impact of Javier Nieto'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 Javier Nieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Nieto more than expected).
Fields of papers citing papers by Javier Nieto
This network shows the impact of papers produced by Javier Nieto. 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 Javier Nieto. The network helps show where Javier Nieto may publish in the future.
Co-authorship network of co-authors of Javier Nieto
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Nieto. A scholar is included among the top collaborators of Javier Nieto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Javier Nieto. Javier Nieto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 45 | |
| 8 | 143 | |
| 9 | 104 | |
| 10 | 41 | |
| 11 | 39 | |
| 12 | 24 | |
| 13 | 38 | |
| 14 | 89 | |
| 15 | 14 | |
| 16 | 8 | |
| 17 | 370 | |
| 18 | Recommendations from MENSURA for selection of antimicrobial agents for susceptibility testing and criteria for the interpretation of antibiograms [Recomendaciones del grupo MENSURA para la seleccion de antimicrobianos en el estudio de la sensibilidad y criterios para la interpretacion del antibiograma] | 19 |
| 19 | 356 | |
| 20 | 179 |
About Javier Nieto
Javier Nieto is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Applied Microbiology and Biotechnology, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (21 papers), Trypanosoma species research and implications (20 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Parasitology (404 citations), Public Health, Environmental and Occupational Health (1.3k citations) and Endocrine and Autonomic Systems (239 citations). Javier Nieto has collaborated with scholars based in Spain, United States and Argentina. Frequent co-authors include Carmen Cañavate, Javier Moreno, Jorge Alvar, Ricardo Molina, Israel Cruz, Vishesh K. Kapur, Conrad Iber, Kingman P. Strohl, George O'connor and Susan Redline. Their work appears in journals such as Circulation, PLoS ONE and Journal of Clinical Microbiology.
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.