Daniel Limonta

1.5k citations
26 papers · 1.0k · h-index 15

Impact in

Papers in

Daniel Limonta

25 papers receiving 995 citations

Peers

Daniel Limonta
Comparison fields: 5 of 81
  • Infectious Diseases 641
  • Public Health, Environmental and Occupational Health 530
  • Virology 33
  • Obstetrics and Gynecology 48
  • Immunology 133
Replace Marciano Viana Paes with:
Marciano Viana Paes Brazil
Xuancheng Lu China
James T. Earnest United States
Emma S. Winkler United States
Moisés León‐Juárez Mexico
José Manuel Reyes-Ruíz Mexico
Piotr Czupryna Poland
Bobo Wing-Yee Mok Hong Kong
Nicholas Sheets United States
Miriam A. Lynn Australia
Daniel Limonta relative to Marciano Viana Paes Brazil Marciano Viana Paes's profile →
Citations per field
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Marciano Viana Paes · 1×
Citations per year

Countries citing papers authored by Daniel Limonta

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Limonta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016249
2 2020162
3 2020122
4 2007108
5 201874
6 201851
7 201928
8 201128
9 200325
10 201222
11 201922
12 202317
13 201317
14 201116
15 200916
16 202111
17 20099
18 20239
19 20249
20 20208

About Daniel Limonta

Daniel Limonta is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology, Molecular Biology and Obstetrics and Gynecology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (16 papers), Viral Infections and Vectors (11 papers), Virology and Viral Diseases (4 papers), Viral Infections and Outbreaks Research (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Impact on Reproduction (2 papers), scientometrics and bibliometrics research (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Infectious Diseases (641 citations), Public Health, Environmental and Occupational Health (530 citations), Virology (33 citations), Obstetrics and Gynecology (48 citations) and Immunology (133 citations). Daniel Limonta has collaborated with scholars based in Canada, Cuba and United States. Frequent co-authors include Tom C. Hobman, Shangmei Hou, Anil Kumar, Adriana M. Airo, Christopher Power, William G. Branton, Valeria Mancinelli, Lara K. Mahal, I Bernard and Virginia Capó. Their work appears in journals such as Cells, Viruses, Journal of Clinical Virology, Emerging infectious diseases and mAbs.

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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