Daniel Limonta

1.5k citations
26 papers · 982 indexed · h-index 15

Impact in

Papers in

Daniel Limonta

25 papers receiving 965 citations

Peers

Daniel Limonta
Comparison fields: 5 of 83
  • Infectious Diseases 695
  • Public Health, Environmental and Occupational Health 528
  • Virology 35
  • Immunology 134
  • Obstetrics and Gynecology 46
Replace Marciano Viana Paes with:
Marciano Viana Paes Brazil
James T. Earnest United States
Chris Chung‐Sing Chan Hong Kong
Xuancheng Lu China
Nicholas Sheets United States
Emma S. Winkler United States
Susana V. Bardina United States
Anuradha S. Tripathy India
Miriam A. Lynn Australia
Moisés León‐Juárez Mexico
Daniel Limonta relative to Marciano Viana Paes Brazil Marciano Viana Paes's profile →
Citations per field
00.5×1.5×
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 2016244
2 2020160
3 2020116
4 2007108
5 201870
6 201851
7 201125
8 201925
9 201221
10 200321
11 201920
12 202317
13 200915
14 201315
15 201114
16 202111
17 20099
18 20208
19 20247
20 20237

About Daniel Limonta

Daniel Limonta is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Statistics, Probability and Uncertainty, Obstetrics and Gynecology and Modeling and Simulation, having authored 26 papers that have together received 982 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (16 papers), Viral Infections and Vectors (13 papers), Viral Infections and Outbreaks Research (6 papers), Virology and Viral Diseases (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Long-Term Effects of COVID-19 (2 papers), scientometrics and bibliometrics research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (695 citations), Public Health, Environmental and Occupational Health (528 citations), Virology (35 citations), Immunology (134 citations) and Obstetrics and Gynecology (46 citations). Daniel Limonta has collaborated with scholars based in Canada, Cuba and United States. Frequent co-authors include Tom C. Hobman, Anil Kumar, Shangmei Hou, Adriana M. Airo, Christopher Power, William G. Branton, Valeria Mancinelli, I Bernard, Lara K. Mahal and Virginia Capó. Their work appears in journals such as Cells, Viruses, Journal of Clinical Virology, Scientific Reports and Antimicrobial Agents and Chemotherapy.

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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