Sergio Ojeda

2.6k citations
61 papers · 1.5k · h-index 21

Impact in

Papers in

    • Influenza Virus Research Studies 22
    • Respiratory viral infections research 13
    • Viral Infections and Vectors 8
    • SARS-CoV-2 and COVID-19 Research 5

Sergio Ojeda

60 papers receiving 1.4k citations

Peers

Sergio Ojeda
Comparison fields: 5 of 108
  • Infectious Diseases 458
  • Modeling and Simulation 105
  • Reproductive Medicine 177
  • Public Health, Environmental and Occupational Health 446
  • Epidemiology 483
Replace Ilhem Messaoudi with:
Ilhem Messaoudi United States
F.A. Helmond Netherlands
Dionne P. Robinson United States
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Citations per field
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Citations per year

Countries citing papers authored by Sergio Ojeda

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Ojeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018164
2 2019129
3 1997125
4 2019116
5 201970
6 201967
7 201857
8 199655
9 200149
10 201843
11 201641
12 199640
13 198839
14 201834
15 202227
16 201827
17 201526
18 201525
19 202124
20 201924

About Sergio Ojeda

Sergio Ojeda is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation and Reproductive Medicine, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (22 papers), Mosquito-borne diseases and control (13 papers), Respiratory viral infections research (13 papers), Viral Infections and Vectors (8 papers), COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Malaria Research and Control (3 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Infectious Diseases (458 citations), Modeling and Simulation (105 citations), Reproductive Medicine (177 citations), Public Health, Environmental and Occupational Health (446 citations) and Epidemiology (483 citations). Sergio Ojeda has collaborated with scholars based in United States, Nicaragua and Rwanda. Frequent co-authors include Aubree Gordon, Nery Sánchez, Ángel Balmaseda, Lionel Gresh, Eva Harris, Guillermina Kuan, Roger López, Florence Rage, Raquel Burger‐Calderon and Guillermina Kuan. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases, Influenza and Other Respiratory Viruses, PLoS neglected tropical diseases and Nature Communications.

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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