Luis A. Salazar
- Physiology top 10%
- Surgery
- Cellular and Molecular Neuroscience
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Co-authors
- Francisco Javier López‐MuñozGilberto Castañeda‐HernándezMário Hiroyuki HirataRosário Dominguez Crespo HirataJ DiamentNeusa Assumpta FortiVinicio Granados‐SotoFrancisco Javier Flores‐Murrieta
- Topics
- Pain Mechanisms and Treatments (9 papers)Lipoproteins and Cardiovascular Health (7 papers)Neuropeptides and Animal Physiology (6 papers)
In The Last Decade
Luis A. Salazar
42 papers receiving 475 citations
Peers
Comparison fields: 5 of 80
- Physiology 191
- Surgery 108
- Cellular and Molecular Neuroscience 99
- Endocrinology, Diabetes and Metabolism 98
- Molecular Biology 97
Countries citing papers authored by Luis A. Salazar
This map shows the geographic impact of Luis A. Salazar'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 Luis A. Salazar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis A. Salazar more than expected).
Fields of papers citing papers by Luis A. Salazar
This network shows the impact of papers produced by Luis A. Salazar. 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 Luis A. Salazar. The network helps show where Luis A. Salazar may publish in the future.
Co-authorship network of co-authors of Luis A. Salazar
This figure shows the co-authorship network connecting the top 25 collaborators of Luis A. Salazar. A scholar is included among the top collaborators of Luis A. Salazar 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 Luis A. Salazar. Luis A. Salazar 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 | 1 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | Evaluación en condiciones in vitro de la masa micelial de hongos fitopatógenos mediante el uso de filtrados de aislamientos de Trichoderma spp. | 1 |
| 8 | 4 | |
| 9 | 13 | |
| 10 | 26 | |
| 11 | 13 | |
| 12 | Angiotensin I-converting enzyme gene polymorphism and drug response in familial hypercholesterolemia | 1 |
| 13 | Are the polymorphisms in the methylenetetrahydrofolate reductase gene a risk factor for neural tube defects?: A preliminary report | 1 |
| 14 | 19 | |
| 15 | 3 | |
| 16 | 54 | |
| 17 | 4 | |
| 18 | 13 | |
| 19 | 6 | |
| 20 | 8 |
About Luis A. Salazar
Luis A. Salazar is a scholar working on Hematology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 44 papers that have together received 488 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Lipoproteins and Cardiovascular Health (7 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Pharmacology (73 citations), Physiology (191 citations) and Endocrinology, Diabetes and Metabolism (98 citations). Luis A. Salazar has collaborated with scholars based in Mexico, Colombia and Brazil. Frequent co-authors include Francisco Javier López‐Muñoz, Gilberto Castañeda‐Hernández, Mário Hiroyuki Hirata, Rosário Dominguez Crespo Hirata, J Diament, Neusa Assumpta Forti, Vinicio Granados‐Soto, Francisco Javier Flores‐Murrieta, José A. Terrón and Carlos M. Villalón. Their work appears in journals such as Blood, Clinical Chemistry and European Journal of Pharmacology.
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.