Michele Alves‐Bezerra
- Molecular Biology
- Epidemiology top 5%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- David E. CohenKátia C. GondimDavid MajerowiczJosé Roberto Meyer‐FernandesIron F. De PaulaGlória Regina Cardoso BrazRosalind ColemanIsabela Ramos
- Topics
- Neurobiology and Insect Physiology Research (10 papers)Lipid metabolism and biosynthesis (9 papers)Liver Disease Diagnosis and Treatment (5 papers)
- Partner nations
- BrazilUnited StatesPoland
In The Last Decade
Michele Alves‐Bezerra
28 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 593
- Epidemiology 535
- Physiology 291
- Endocrinology, Diabetes and Metabolism 229
- Cellular and Molecular Neuroscience 206
Countries citing papers authored by Michele Alves‐Bezerra
This map shows the geographic impact of Michele Alves‐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 Michele Alves‐Bezerra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Alves‐Bezerra more than expected).
Fields of papers citing papers by Michele Alves‐Bezerra
This network shows the impact of papers produced by Michele Alves‐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 Michele Alves‐Bezerra. The network helps show where Michele Alves‐Bezerra may publish in the future.
Co-authorship network of co-authors of Michele Alves‐Bezerra
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Alves‐Bezerra. A scholar is included among the top collaborators of Michele Alves‐Bezerra 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 Michele Alves‐Bezerra. Michele Alves‐Bezerra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 27 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 23 | |
| 6 | 102 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | Triglyceride Metabolism in the Liverbreakdown → | 822 |
| 10 | 8 | |
| 11 | 33 | |
| 12 | 23 | |
| 13 | 18 | |
| 14 | 53 | |
| 15 | 19 | |
| 16 | 20 | |
| 17 | 42 | |
| 18 | 16 | |
| 19 | 118 | |
| 20 | 24 |
About Michele Alves‐Bezerra
Michele Alves‐Bezerra is a scholar working on Biochemistry, Insect Science and Aging, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Lipid metabolism and biosynthesis (9 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Biochemistry (182 citations), Insect Science (206 citations) and Epidemiology (535 citations). Michele Alves‐Bezerra has collaborated with scholars based in Brazil, United States and Poland. Frequent co-authors include David E. Cohen, Kátia C. Gondim, David Majerowicz, José Roberto Meyer‐Fernandes, Iron F. De Paula, Glória Regina Cardoso Braz, Rosalind Coleman, Isabela Ramos, Eric L. Klett and Karl‐Dimiter Bissig. Their work appears in journals such as Journal of Biological Chemistry, Hepatology and Journal of Lipid Research.
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.