David A. Cano
Impact in
- Endocrinology top 2%
-
- Pituitary Gland Disorders and Treatments
Papers in ⓘ
- Surgery 27
- Pancreatic function and diabetes 17
- Adrenal and Paraganglionic Tumors 6
-
- Pituitary Gland Disorders and Treatments 21
- Growth Hormone and Insulin-like Growth Factors 14
- Co-authors
- Matthias Hebrok (13 shared papers)Shigeki Sekine (2 shared papers)Josep Casadesús (11 shared papers)Francisco García‐del Portillo (6 shared papers)Sam C. Wang (1 shared paper)John P. Morris (1 shared paper)M. Graciela Pucciarelli (4 shared papers)Noel Murcia (1 shared paper)
- Journals
- Diabetes (4 papers)PLoS ONE (4 papers)Gastroenterology (3 papers)Development (3 papers)Scientific Reports (2 papers)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
David A. Cano
62 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 95
- Endocrinology 200
- Endocrinology, Diabetes and Metabolism 501
- Genetics 697
- Surgery 886
- Oncology 534
Countries citing papers authored by David A. Cano
This map shows the geographic impact of David A. Cano'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 David A. Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Cano more than expected).
Fields of papers citing papers by David A. Cano
This network shows the impact of papers produced by David A. Cano. 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 David A. Cano. The network helps show where David A. Cano may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Cano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 289 | |
| 2 | 2007 | 199 | |
| 3 | 2007 | 172 | |
| 4 | 2004 | 153 | |
| 5 | 2008 | 128 | |
| 6 | 2001 | 124 | |
| 7 | 2006 | 113 | |
| 8 | 2002 | 98 | |
| 9 | 2013 | 85 | |
| 10 | 2004 | 80 | |
| 11 | 2008 | 78 | |
| 12 | 2007 | 77 | |
| 13 | 1991 | 74 | |
| 14 | 2007 | 73 | |
| 15 | 2018 | 61 | |
| 16 | 2013 | 53 | |
| 17 | 2003 | 52 | |
| 18 | 2002 | 51 | |
| 19 | 2013 | 48 | |
| 20 | 2010 | 47 |
About David A. Cano
David A. Cano is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics and Epidemiology, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (21 papers), Pancreatic function and diabetes (17 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Bacterial Genetics and Biotechnology (7 papers), Salmonella and Campylobacter epidemiology (6 papers), Adrenal and Paraganglionic Tumors (6 papers), Bacteriophages and microbial interactions (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Endocrinology (200 citations), Endocrinology, Diabetes and Metabolism (501 citations), Genetics (697 citations), Surgery (886 citations) and Oncology (534 citations). David A. Cano has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Matthias Hebrok, Shigeki Sekine, Josep Casadesús, Francisco García‐del Portillo, Sam C. Wang, John P. Morris, M. Graciela Pucciarelli, Noel Murcia, Gregory J. Pazour and Patrick W. Heiser. Their work appears in journals such as Diabetes, PLoS ONE, Gastroenterology, Development and Scientific Reports.
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.