L.A. Veiga

25 papers receiving 290 citations

Peers

L.A. Veiga
Comparison fields: 5 of 65
  • Biochemistry 51
  • Endocrinology, Diabetes and Metabolism 91
  • Molecular Biology 190
  • Clinical Biochemistry 17
  • Biotechnology 21
Replace J. De Ley with:
J. De Ley Belgium
Danica Dabich United States
R V Quincey United Kingdom
S. L. Rosenberg United States
Donella H. Turner Australia
Dorothy M. Wilson United States
Ulrike Johnsen Germany
Juan Luis Rendón Mexico
Kamal G. Bitar United States
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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-authors

The 11 scholars most cited alongside L.A. Veiga, 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 L.A. Veiga Line = papers co-authored together L.A. Veiga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196291
2 196037
3 198522
4 197722
5 197614
6 199413
7 196813
8 198412
9 198411
10 197910
11 198310
12
POLYOL DEHYDROGENASES IN CANDIDA ALBICANS :II. XYLITOL OXIDATION TO D-XYLULOSE
19689
13 19689
14
Inventário florístico das diatomáceas (Ochrophyta) de lagoas do Sistema Hidrológico do Taim, Rio Grande do Sul, Brasil: Coscinodiscophyceae
20048
15 19676
16
Purification and properties of the xylitol dehydrogenase from Pullularia pullulans.
19815
17 19885
18
Ocorrencia de um caso de albinismo em sabia laranjeira
19904
19 19884
20 19844

About L.A. Veiga

L.A. Veiga is a scholar working on Molecular Biology, Plant Science, Biomedical Engineering, Endocrinology, Diabetes and Metabolism and Cell Biology, 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), Polysaccharides Composition and Applications (4 papers), Biofuel production and bioconversion (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Polyamine Metabolism and Applications (3 papers), Fish biology, ecology, and behavior (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Biochemistry (51 citations), Endocrinology, Diabetes and Metabolism (91 citations), Molecular Biology (190 citations), Clinical Biochemistry (17 citations) and Biotechnology (21 citations). L.A. Veiga has collaborated with scholars based in Brazil, United States and Argentina. Frequent co-authors include Metry Bacila, B.L. Horecker, Maharani Chakravorty, L. U. Rigo, Juliet Kiyoko Sugai, S. Funayama, David S. Feingold, Gretchen D. Oliver, Aı́da A. Pesce de Ruiz Holgado and Luis R. Maréchal. Their work appears in journals such as Canadian Journal of Microbiology, The Journal of General and Applied Microbiology, Journal of Bacteriology, Brazilian Archives of Biology and Technology and Archives of Biochemistry and Biophysics.

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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