Fernando Lizcano
- Molecular Biology
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Genetics
- Co-authors
- Guillermo GuzmánDiana VargasNoriyuki KoibuchiFernando DangondWilliam W. ChinSandra CameloBin Tean TehSteven G. Gray
- Topics
- Adipose Tissue and Metabolism (16 papers)Adipokines, Inflammation, and Metabolic Diseases (9 papers)Histone Deacetylase Inhibitors Research (7 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Fernando Lizcano
48 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 369
- Physiology 345
- Endocrinology, Diabetes and Metabolism 224
- Epidemiology 204
- Genetics 143
Countries citing papers authored by Fernando Lizcano
This map shows the geographic impact of Fernando Lizcano'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 Fernando Lizcano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Lizcano more than expected).
Fields of papers citing papers by Fernando Lizcano
This network shows the impact of papers produced by Fernando Lizcano. 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 Fernando Lizcano. The network helps show where Fernando Lizcano may publish in the future.
Co-authorship network of co-authors of Fernando Lizcano
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Lizcano. A scholar is included among the top collaborators of Fernando Lizcano 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 Fernando Lizcano. Fernando Lizcano 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 | 7 | |
| 3 | 9 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 26 | |
| 9 | 11 | |
| 10 | 25 | |
| 11 | 15 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 11 | |
| 15 | Efecto lipolítico del Resveratrol en células 3T3-L1 | 0 |
| 16 | Satisfacción con el tratamiento con insulina aspart premezclada al 30/70% en pacientes con diabetes mellitus tipo 2 | 1 |
| 17 | 11 | |
| 18 | 115 | |
| 19 | 8 | |
| 20 | Consideraciones sobre la ambliopía funcional y su tratamiento por la oclusión o la blefarorrafía | 1 |
About Fernando Lizcano
Fernando Lizcano is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Rehabilitation, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers) and Histone Deacetylase Inhibitors Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (224 citations), Physiology (345 citations) and Behavioral Neuroscience (37 citations). Fernando Lizcano has collaborated with scholars based in Colombia, Spain and Japan. Frequent co-authors include Guillermo Guzmán, Diana Vargas, Noriyuki Koibuchi, Fernando Dangond, William W. Chin, Sandra Camelo, Bin Tean Teh, Steven G. Gray, Antonio Iglesias and Efi Kokkotou. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.