David Barros

2.3k citations
22 papers · 870 · h-index 19

Impact in

Papers in

David Barros

22 papers receiving 856 citations

Peers

David Barros
Comparison fields: 5 of 76
  • Molecular Medicine 139
  • Infectious Diseases 478
  • Epidemiology 260
  • Computational Theory and Mathematics 112
  • Organic Chemistry 198
Replace Anthony Vocat with:
Anthony Vocat Switzerland
Sreevalli Sharma India
Vinayak Singh South Africa
Marion Flipo France
Sun‐Hee Kang South Korea
Ill Young Lee South Korea
Victoria Jones United States
Thulasi Warrier United States
Cynthia S. Dowd United States
Anna E. Grzegorzewicz United States
David Barros relative to Anthony Vocat Switzerland Anthony Vocat's profile →
Citations per field
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Citations per year

Countries citing papers authored by David Barros

Since Specialization
Citations

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

Fields of papers citing papers by David Barros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012139
2 201481
3 201462
4 201657
5 201153
6 201451
7 201746
8 201539
9 200538
10 201835
11 201534
12 201530
13 201728
14 201426
15 201625
16 201622
17 201721
18 201121
19 201419
20 202318

About David Barros

David Barros is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Computational Theory and Mathematics and Organic Chemistry, having authored 22 papers that have together received 870 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Biochemical and Molecular Research (7 papers), Cancer therapeutics and mechanisms (6 papers), Computational Drug Discovery Methods (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Antibiotic Resistance in Bacteria (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Molecular Medicine (139 citations), Infectious Diseases (478 citations), Epidemiology (260 citations), Computational Theory and Mathematics (112 citations) and Organic Chemistry (198 citations). David Barros has collaborated with scholars based in Spain, United Kingdom and France. Frequent co-authors include Lluís Ballell, Katherine A. Abrahams, Jonathan A. G. Cox, Gurdyal S. Besra, Nicholas J. Loman, Carlos Alemparte, Modesto J. Remuiñán, Raquel M. Fernández, Vincent Dubée and Mark J. Pallen. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Scientific Reports, PLoS ONE, Journal of Medicinal Chemistry and ChemMedChem.

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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