Bàrbara Baró

1.4k citations
19 papers · 478 · 1 hit paper · h-index 11

Impact in

Papers in

Bàrbara Baró

15 papers receiving 477 citations

Bàrbara Baró's Hit Papers

Transmission of COVID-19 in 282 clusters in Catalonia, Spain: a cohort study 2021 · 200 citations
2000+1+3Years since publication50100150200

Peers

Bàrbara Baró
Comparison fields: 5 of 72
  • Modeling and Simulation 67
  • Infectious Diseases 172
  • Cell Biology 63
  • Public Health, Environmental and Occupational Health 97
  • Parasitology 20
Replace Kelly M. Searle with:
Kelly M. Searle United States
Andrey B. Komissarov Russia
Jennifer Connors United States
Lauren M. Weil United States
Sonja Schmidt Germany
Steven J. Clipman United States
Cynthia Robinson Netherlands
Rebecca Fisher United States
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Mingbin Liu China
Bàrbara Baró relative to Kelly M. Searle United States Kelly M. Searle's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bàrbara Baró

Since Specialization
Citations

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

Fields of papers citing papers by Bàrbara Baró

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Transmission of COVID-19 in 282 clusters in Catalonia, Spain: a cohort study
Hit paper breakdown →
2021200
2 201765
3 202034
4 202125
5 201824
6 201624
7 202222
8 201320
9 202116
10 201214
11 202310
12 20219
13 20217
14 20235
15 20233
16 20240
17 20220
18 20250
19 20260

About Bàrbara Baró

Bàrbara Baró is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Cell Biology and Epidemiology, having authored 19 papers that have together received 478 indexed citations. Recurring topics across this work include Malaria Research and Control (5 papers), SARS-CoV-2 detection and testing (3 papers), Microtubule and mitosis dynamics (3 papers), COVID-19 Clinical Research Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Psychological Well-being and Life Satisfaction (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Modeling and Simulation (67 citations), Infectious Diseases (172 citations), Cell Biology (63 citations), Public Health, Environmental and Occupational Health (97 citations) and Parasitology (20 citations). Bàrbara Baró has collaborated with scholars based in Spain, Mozambique and United States. Frequent co-authors include Ethel Queralt, Quique Bassat, Andrea Alemany, Bonaventura Clotet, Dan Ouchi, Pere Millat-Martínez, Núria Prat, María Ubals, Aurelio Tobı́as and Camila González-Beiras. Their work appears in journals such as Frontiers in Immunology, Biosensors and Bioelectronics, PLoS neglected tropical diseases, Frontiers in Public Health and GigaScience.

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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