Francisco J. Pasquel
- Endocrinology, Diabetes and Metabolism top 0.5%
- Genetics top 2%
- Surgery top 10%
- Molecular Biology
- Epidemiology top 10%
- Co-authors
- Guillermo E. UmpierrezLimin PengMaya FayfmanPriyathama VellankiGeorgia M. DavisRodolfo J. GalindoDawn SmileySaumeth Cardona
- Topics
- Diabetes Management and Research (69 papers)Hyperglycemia and glycemic control in critically ill and hospitalized patients (66 papers)Diabetes Treatment and Management (36 papers)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Francisco J. Pasquel
113 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Endocrinology, Diabetes and Metabolism 2.4k
- Genetics 993
- Surgery 523
- Molecular Biology 413
- Epidemiology 354
Countries citing papers authored by Francisco J. Pasquel
This map shows the geographic impact of Francisco J. Pasquel'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 Francisco J. Pasquel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco J. Pasquel more than expected).
Fields of papers citing papers by Francisco J. Pasquel
This network shows the impact of papers produced by Francisco J. Pasquel. 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 Francisco J. Pasquel. The network helps show where Francisco J. Pasquel may publish in the future.
Co-authorship network of co-authors of Francisco J. Pasquel
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco J. Pasquel. A scholar is included among the top collaborators of Francisco J. Pasquel 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 Francisco J. Pasquel. Francisco J. Pasquel 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 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 19 | |
| 9 | 37 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 13 | |
| 14 | 60 | |
| 15 | 23 | |
| 16 | 21 | |
| 17 | 20 | |
| 18 | 70 | |
| 19 | 6 | |
| 20 | 16 |
About Francisco J. Pasquel
Francisco J. Pasquel is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Health Informatics, having authored 123 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (69 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (66 papers) and Diabetes Treatment and Management (36 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.4k citations), Genetics (993 citations) and Cardiology and Cardiovascular Medicine (272 citations). Francisco J. Pasquel has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include Guillermo E. Umpierrez, Limin Peng, Maya Fayfman, Priyathama Vellanki, Georgia M. Davis, Rodolfo J. Galindo, Dawn Smiley, Saumeth Cardona, Christopher A. Newton and M. Cecilia Lansang. Their work appears in journals such as JAMA, Journal of Biological Chemistry and Circulation.
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.