Jamie Lopez Bernal

22.7k citations
93 papers · 9.8k indexed · 8 hit papers · h-index 38
Topics
SARS-CoV-2 and COVID-19 Research (36 papers)COVID-19 Clinical Research Studies (24 papers)Vaccine Coverage and Hesitancy (21 papers)

In The Last Decade

Jamie Lopez Bernal

89 papers receiving 9.6k citations

Hit Papers

Interrupted time series regression for the evaluation of ...20162026201920222016202120212020202150010001.5k2.0k

Peers

Jamie Lopez Bernal
Comparison fields: 5 of 191
  • Infectious Diseases 4.3k
  • Health 1.7k
  • Molecular Biology 1.5k
  • Epidemiology 1.5k
  • Modeling and Simulation 1.5k
Replace Ran D. Balicer with:
Ran D. Balicer Israel
Alfonso J. Rodríguez‐Morales Colombia
Charles Shey Wiysonge South Africa
Chris Robertson United Kingdom
Elisabeth Mahase United Kingdom
Tom Jefferson United Kingdom
Lyn Finelli United States
Faxian Zhan China
Wenbo Xu China
Antoine Flahault France
Jamie Lopez Bernal relative to Ran D. Balicer Israel Ran D. Balicer's profile →
Citations per field
00.5×1.5×2.2×
Ran D. Balicer · 1×
Citations per year

Countries citing papers authored by Jamie Lopez Bernal

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Lopez Bernal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie Lopez Bernal. 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 Jamie Lopez Bernal. The network helps show where Jamie Lopez Bernal may publish in the future.

Co-authorship network of co-authors of Jamie Lopez Bernal

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Lopez Bernal. A scholar is included among the top collaborators of Jamie Lopez Bernal 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 Jamie Lopez Bernal. Jamie Lopez Bernal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 2
6 6
7 1
8 1
9 32
10 8
11 3
12 15
13 6
14 27
15 85
16 154
17 66
18 4
19 174
20 190

About Jamie Lopez Bernal

Jamie Lopez Bernal is a scholar working on Health, Modeling and Simulation and Infectious Diseases, having authored 93 papers that have together received 9.8k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (36 papers), COVID-19 Clinical Research Studies (24 papers) and Vaccine Coverage and Hesitancy (21 papers). The work is most often cited by research in Modeling and Simulation (1.5k citations), Infectious Diseases (4.3k citations) and Health (1.7k citations). Jamie Lopez Bernal has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Antonio Gasparrini, Steven Cummins, Mary Ramsay, Nick Andrews, Julia Stowe, Maria Zambon, Elise Tessier, Kevin Brown, Charlotte Gower and Ruth Simmons. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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