David Albuquerque

1.2k citations
29 papers · 835 · h-index 12

Impact in

Papers in

    • Genetic Associations and Epidemiology 7
    • Nutrition, Genetics, and Disease 6
    • Mitochondrial Function and Pathology 4

David Albuquerque

28 papers receiving 825 citations

Peers

David Albuquerque
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 92
  • Cellular and Molecular Neuroscience 223
  • Pharmacy 35
  • Physiology 182
  • Genetics 174
Replace Nihal Olgaç Dündar with:
Nihal Olgaç Dündar Türkiye
Josefin A. Jacobsson Sweden
Patti Whyte Switzerland
Ali Cansu Türkiye
Thuy Trang Nguyen Germany
Martin J. Kelly United States
Joanna Gościk Poland
Nasim C. Sobhani United States
Galia Gat‐Yablonski Israel
Minati Singh United States
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Citations per field
00.5×3.9×
Nihal Olgaç Dündar · 1×
Citations per year

Countries citing papers authored by David Albuquerque

Since Specialization
Citations

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

Fields of papers citing papers by David Albuquerque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017191
2 2015145
3 201390
4 201380
5 201346
6 201437
7 201535
8 201431
9 201228
10
Prevalence of katG Ser315 substitution and rpoB mutations in isoniazid-resistant Mycobacterium tuberculosis isolates from Brazil.
200523
11 201221
12 201716
13 202111
14 201411
15 201911
16 201111
17 20149
18 20128
19 20186
20 20215

About David Albuquerque

David Albuquerque is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems, having authored 29 papers that have together received 835 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Nutrition, Genetics, and Disease (6 papers), Obesity, Physical Activity, Diet (5 papers), Genetic Neurodegenerative Diseases (5 papers), Regulation of Appetite and Obesity (5 papers), Eating Disorders and Behaviors (4 papers), Mitochondrial Function and Pathology (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (92 citations), Cellular and Molecular Neuroscience (223 citations), Pharmacy (35 citations), Physiology (182 citations) and Genetics (174 citations). David Albuquerque has collaborated with scholars based in Portugal, Spain and Switzerland. Frequent co-authors include Clévio Nóbrega, Licínio Manco, Cristina Padez, Raquel Rodríguez‐López, Luís Pereira de Almeida, Nicole Déglon, Isabel Nascimento-Ferreira, Isabel Onofre, Eric Stice and Hirokazu Hirai. Their work appears in journals such as PLoS ONE, Gene, Brain, Annals of Human Biology and Molecular Genetics and Genomics.

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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