G.A. Bezerra
Impact in
- Biotechnology top 10%
-
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
Papers in
-
- Glycosylation and Glycoproteins Research 13
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- Carbohydrate Chemistry and Synthesis 12
- Co-authors
- Benildo Sousa Cavada (20 shared papers)Karl Gruber (12 shared papers)Taianá Maia de Oliveira (11 shared papers)P. Delatorre (13 shared papers)B.A.M. Rocha (11 shared papers)Wyatt W. Yue (8 shared papers)Walter Filgueira de Azevedo (6 shared papers)Celso Shiniti Nagano (8 shared papers)
- Journals
- The International Journal of Biochemistry & Cell Biology (3 papers)Journal of Structural Biology (3 papers)Biochimie (3 papers)Scientific Reports (2 papers)Nature Communications (2 papers)
- Partner nations
- BrazilAustriaUnited Kingdom
In The Last Decade
G.A. Bezerra
45 papers receiving 879 citations
Peers
Comparison fields: 5 of 106
- Biotechnology 72
- Immunology 163
- Molecular Biology 481
- Periodontics 29
- Clinical Biochemistry 42
Countries citing papers authored by G.A. Bezerra
This map shows the geographic impact of G.A. Bezerra'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 G.A. Bezerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G.A. Bezerra more than expected).
Fields of papers citing papers by G.A. Bezerra
This network shows the impact of papers produced by G.A. Bezerra. 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 G.A. Bezerra. The network helps show where G.A. Bezerra may publish in the future.
Co-authors
The 25 scholars most cited alongside G.A. Bezerra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 63 | |
| 2 | 2018 | 62 | |
| 3 | 2007 | 60 | |
| 4 | 2006 | 54 | |
| 5 | 2012 | 43 | |
| 6 | 2008 | 39 | |
| 7 | 2007 | 38 | |
| 8 | 2011 | 34 | |
| 9 | 2013 | 33 | |
| 10 | 2020 | 28 | |
| 11 | 2007 | 28 | |
| 12 | 2014 | 26 | |
| 13 | 2012 | 25 | |
| 14 | 2008 | 24 | |
| 15 | 2015 | 23 | |
| 16 | 2014 | 23 | |
| 17 | 2011 | 23 | |
| 18 | 2008 | 22 | |
| 19 | 2011 | 20 | |
| 20 | 2019 | 20 |
About G.A. Bezerra
G.A. Bezerra is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Oncology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 894 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Carbohydrate Chemistry and Synthesis (12 papers), Peptidase Inhibition and Analysis (7 papers), Galectins and Cancer Biology (5 papers), Metabolism and Genetic Disorders (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Neuropeptides and Animal Physiology (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Biotechnology (72 citations), Immunology (163 citations), Molecular Biology (481 citations), Periodontics (29 citations) and Clinical Biochemistry (42 citations). G.A. Bezerra has collaborated with scholars based in Brazil, Austria and United Kingdom. Frequent co-authors include Benildo Sousa Cavada, Karl Gruber, Taianá Maia de Oliveira, P. Delatorre, B.A.M. Rocha, Wyatt W. Yue, Walter Filgueira de Azevedo, Celso Shiniti Nagano, E. Dobrovetsky and Sirano Dhe‐Paganon. Their work appears in journals such as The International Journal of Biochemistry & Cell Biology, Journal of Structural Biology, Biochimie, Scientific Reports and Nature 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.