Fábio Bessa Lima
- Physiology top 1%
- Endocrine and Autonomic Systems top 0.5%
- Epidemiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Maria Isabel Cardoso Alonso‐ValeJulie TakadaMiriam Helena Fonseca‐AlanizSandra AndreottiJosé Cipolla‐NetoSidney Barnabé PeresRogério Antônio Laurato SertiéGraham R.V. Hughes
- Topics
- Adipose Tissue and Metabolism (55 papers)Adipokines, Inflammation, and Metabolic Diseases (26 papers)Diet and metabolism studies (17 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Fábio Bessa Lima
93 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 129
- Physiology 1.5k
- Endocrine and Autonomic Systems 965
- Epidemiology 631
- Molecular Biology 503
- Endocrinology, Diabetes and Metabolism 428
Countries citing papers authored by Fábio Bessa Lima
This map shows the geographic impact of Fábio Bessa Lima'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 Fábio Bessa Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio Bessa Lima more than expected).
Fields of papers citing papers by Fábio Bessa Lima
This network shows the impact of papers produced by Fábio Bessa Lima. 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 Fábio Bessa Lima. The network helps show where Fábio Bessa Lima may publish in the future.
Co-authorship network of co-authors of Fábio Bessa Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Bessa Lima. A scholar is included among the top collaborators of Fábio Bessa Lima 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 Fábio Bessa Lima. Fábio Bessa Lima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | Mecanismos Moleculares de Absorción de Glucosa Muscular en Respuesta al Ejercicio de la Fuerza: Una Revisión - Ciencias del Ejercicio | 1 |
| 9 | 7 | |
| 10 | 31 | |
| 11 | 15 | |
| 12 | Effect of poultry litter on the soybean cyst nematode population reduction. | 1 |
| 13 | 214 | |
| 14 | 32 | |
| 15 | 34 | |
| 16 | 48 | |
| 17 | 3 | |
| 18 | 37 | |
| 19 | Avaliação de atletas: metodologia do Grupo de Medicina Esportiva do IOT/HC-FMUSP: aplicação em 11 maratonistas de elite | 1 |
| 20 | 26 |
About Fábio Bessa Lima
Fábio Bessa Lima is a scholar working on Endocrine and Autonomic Systems, Physiology and Epidemiology, having authored 97 papers that have together received 3.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (55 papers), Adipokines, Inflammation, and Metabolic Diseases (26 papers) and Diet and metabolism studies (17 papers). The work is most often cited by research in Endocrine and Autonomic Systems (965 citations), Physiology (1.5k citations) and Endocrinology, Diabetes and Metabolism (428 citations). Fábio Bessa Lima has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Maria Isabel Cardoso Alonso‐Vale, Julie Takada, Miriam Helena Fonseca‐Alaniz, Sandra Andreotti, José Cipolla‐Neto, Sidney Barnabé Peres, Rogério Antônio Laurato Sertié, Graham R.V. Hughes, Patrícia Chimin and Cristina N. Borges‐Silva. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Diabetes.
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.