L.A. Veiga

25 papers receiving 290 citations

Peers

L.A. Veiga
Comparison fields: 5 of 65
  • Molecular Biology 190
  • Endocrinology, Diabetes and Metabolism 91
  • Biomedical Engineering 67
  • Plant Science 65
  • Biochemistry 51
Replace J. De Ley with:
J. De Ley Belgium
Danica Dabich United States
R V Quincey United Kingdom
S. L. Rosenberg United States
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Dorothy M. Wilson United States
Ulrike Johnsen Germany
Juan Luis Rendón Mexico
Kamal G. Bitar United States
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L.A. Veiga relative to J. De Ley Belgium J. De Ley's profile →
Citations per field
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Citations per year

Countries citing papers authored by L.A. Veiga

Since Specialization
Citations

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

Fields of papers citing papers by L.A. Veiga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. Veiga. 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 L.A. Veiga. The network helps show where L.A. Veiga may publish in the future.

Co-authorship network of co-authors of L.A. Veiga

This figure shows the co-authorship network connecting the top 25 collaborators of L.A. Veiga. A scholar is included among the top collaborators of L.A. Veiga 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 L.A. Veiga. L.A. Veiga 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
Inventário florístico das diatomáceas (Ochrophyta) de lagoas do Sistema Hidrológico do Taim, Rio Grande do Sul, Brasil: Coscinodiscophyceae
8
2 2
3 13
4
Albinismo em bothrops alternatus dm. & bibr. , 1854 ( ophidia , viperidae )
2
5
Ocorrencia de um caso de albinismo em sabia laranjeira
4
6 5
7 4
8 22
9 12
10 11
11 10
12
Purification and properties of the xylitol dehydrogenase from Pullularia pullulans.
5
13 10
14 14
15
POLYOL DEHYDROGENASES IN CANDIDA ALBICANS :II. XYLITOL OXIDATION TO D-XYLULOSE
9
16 3
17 13
18 9
19 6
20 91

About L.A. Veiga

L.A. Veiga is a scholar working on Biochemistry, Clinical Biochemistry and Nutrition and Dietetics, having authored 25 papers that have together received 319 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (5 papers), Diet, Metabolism, and Disease (4 papers) and Biofuel production and bioconversion (4 papers). The work is most often cited by research in Biochemistry (51 citations), Endocrinology, Diabetes and Metabolism (91 citations) and Molecular Biology (190 citations). L.A. Veiga has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include B.L. Horecker, Metry Bacila, Maharani Chakravorty, L. U. Rigo, Juliet Kiyoko Sugai, S. Funayama, David S. Feingold, Gretchen D. Oliver, Luis R. Maréchal and Aı́da A. Pesce de Ruiz Holgado. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Biochemical and Biophysical Research 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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